* [PATCH v1 00/22] Improvements to Intel perf metrics
@ 2022-09-28 7:21 Ian Rogers
2022-09-28 7:21 ` [PATCH v1 01/22] perf expr: Allow a double if expression Ian Rogers
` (22 more replies)
0 siblings, 23 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
For consistency with:
https://github.com/intel/perfmon-metrics
rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
Remove _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode
are correctly expanded in the single main metric. Fix perf expr to
allow a double if to be correctly processed.
Add all 6 levels of TMA metrics. Child metrics are placed in a group
named after their parent allowing children of a metric to be
easily measured using the metric name with a _group suffix.
Don't drop TMA metrics if they contain topdown events.
The ## and ##? operators are correctly expanded.
The locate-with column is added to the long description describing a
sampling event.
Metrics are written in terms of other metrics to reduce the expression
size and increase readability.
Following this the pmu-events/arch/x86 directories match those created
by the script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Ian Rogers (22):
perf expr: Allow a double if expression
perf expr: Remove jevents case workaround
perf metrics: Don't scale counts going into metrics
perf vendor events: Update Intel skylakex
perf vendor events: Update Intel alderlake
perf vendor events: Update Intel broadwell
perf vendor events: Update Intel broadwellx
perf vendor events: Update Intel cascadelakex
perf vendor events: Update elkhartlake cpuids
perf vendor events: Update Intel haswell
perf vendor events: Update Intel haswellx
perf vendor events: Update Intel icelake
perf vendor events: Update Intel icelakex
perf vendor events: Update Intel ivybridge
perf vendor events: Update Intel ivytown
perf vendor events: Update Intel jaketown
perf vendor events: Update Intel sandybridge
perf vendor events: Update Intel sapphirerapids
perf vendor events: Update silvermont cpuids
perf vendor events: Update Intel skylake
perf vendor events: Update Intel tigerlake
perf vendor events: Update Intel broadwellde
.../arch/x86/alderlake/adl-metrics.json | 1215 ++++++++++++++++-
.../pmu-events/arch/x86/alderlake/cache.json | 129 +-
.../arch/x86/alderlake/frontend.json | 12 +
.../pmu-events/arch/x86/alderlake/memory.json | 22 +
.../pmu-events/arch/x86/alderlake/other.json | 22 +
.../arch/x86/alderlake/pipeline.json | 14 +-
.../arch/x86/broadwell/bdw-metrics.json | 603 ++++++--
.../arch/x86/broadwellde/bdwde-metrics.json | 639 +++++++--
.../arch/x86/broadwellx/bdx-metrics.json | 644 +++++++--
.../arch/x86/broadwellx/uncore-cache.json | 10 +-
.../x86/broadwellx/uncore-interconnect.json | 18 +-
.../arch/x86/broadwellx/uncore-memory.json | 18 +-
.../arch/x86/cascadelakex/clx-metrics.json | 893 ++++++++----
.../arch/x86/cascadelakex/uncore-memory.json | 18 +-
.../arch/x86/cascadelakex/uncore-other.json | 10 +-
.../pmu-events/arch/x86/haswell/cache.json | 4 +-
.../pmu-events/arch/x86/haswell/frontend.json | 12 +-
.../arch/x86/haswell/hsw-metrics.json | 502 +++++--
.../pmu-events/arch/x86/haswellx/cache.json | 2 +-
.../arch/x86/haswellx/frontend.json | 12 +-
.../arch/x86/haswellx/hsx-metrics.json | 707 +++++++---
.../x86/haswellx/uncore-interconnect.json | 18 +-
.../arch/x86/haswellx/uncore-memory.json | 18 +-
.../pmu-events/arch/x86/icelake/cache.json | 6 +-
.../arch/x86/icelake/icl-metrics.json | 725 +++++++++-
.../pmu-events/arch/x86/icelake/pipeline.json | 2 +-
.../pmu-events/arch/x86/icelakex/cache.json | 6 +-
.../arch/x86/icelakex/icx-metrics.json | 794 ++++++++++-
.../arch/x86/icelakex/pipeline.json | 2 +-
.../arch/x86/icelakex/uncore-other.json | 2 +-
.../arch/x86/ivybridge/ivb-metrics.json | 525 +++++--
.../pmu-events/arch/x86/ivytown/cache.json | 4 +-
.../arch/x86/ivytown/floating-point.json | 2 +-
.../pmu-events/arch/x86/ivytown/frontend.json | 18 +-
.../arch/x86/ivytown/ivt-metrics.json | 558 ++++++--
.../arch/x86/ivytown/uncore-cache.json | 58 +-
.../arch/x86/ivytown/uncore-interconnect.json | 84 +-
.../arch/x86/ivytown/uncore-memory.json | 2 +-
.../arch/x86/ivytown/uncore-other.json | 6 +-
.../arch/x86/ivytown/uncore-power.json | 8 +-
.../arch/x86/jaketown/jkt-metrics.json | 291 ++--
tools/perf/pmu-events/arch/x86/mapfile.csv | 18 +-
.../arch/x86/sandybridge/snb-metrics.json | 279 +++-
.../arch/x86/sapphirerapids/cache.json | 4 +-
.../arch/x86/sapphirerapids/frontend.json | 11 +
.../arch/x86/sapphirerapids/pipeline.json | 4 +-
.../arch/x86/sapphirerapids/spr-metrics.json | 858 +++++++++++-
.../arch/x86/skylake/skl-metrics.json | 774 ++++++++---
.../arch/x86/skylakex/skx-metrics.json | 859 +++++++++---
.../arch/x86/skylakex/uncore-memory.json | 18 +-
.../arch/x86/skylakex/uncore-other.json | 19 +-
.../arch/x86/tigerlake/tgl-metrics.json | 727 +++++++++-
tools/perf/tests/expr.c | 4 +
tools/perf/util/expr.c | 11 +-
tools/perf/util/expr.y | 2 +-
tools/perf/util/stat-shadow.c | 9 +-
56 files changed, 10103 insertions(+), 2129 deletions(-)
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply [flat|nested] 33+ messages in thread
* [PATCH v1 01/22] perf expr: Allow a double if expression
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 02/22] perf expr: Remove jevents case workaround Ian Rogers
` (21 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Some TMA metrics have double if expressions like:
( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) if #core_wide < 1 else ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else CPU_CLK_UNHALTED.THREAD
This currently fails to parse as the left hand side if expression needs
to be in parentheses. By allowing the if expression to have a right hand
side that is an if expression we can parse the expression above, with
left to right evaluation order that matches languages like Python.
Signed-off-by: Ian Rogers <irogers@google.com>
---
tools/perf/tests/expr.c | 4 ++++
tools/perf/util/expr.y | 2 +-
2 files changed, 5 insertions(+), 1 deletion(-)
diff --git a/tools/perf/tests/expr.c b/tools/perf/tests/expr.c
index 8bd719766814..6512f5e22045 100644
--- a/tools/perf/tests/expr.c
+++ b/tools/perf/tests/expr.c
@@ -95,6 +95,10 @@ static int test__expr(struct test_suite *t __maybe_unused, int subtest __maybe_u
ret |= test(ctx, "min(1,2) + 1", 2);
ret |= test(ctx, "max(1,2) + 1", 3);
ret |= test(ctx, "1+1 if 3*4 else 0", 2);
+ ret |= test(ctx, "100 if 1 else 200 if 1 else 300", 100);
+ ret |= test(ctx, "100 if 0 else 200 if 1 else 300", 200);
+ ret |= test(ctx, "100 if 1 else 200 if 0 else 300", 100);
+ ret |= test(ctx, "100 if 0 else 200 if 0 else 300", 300);
ret |= test(ctx, "1.1 + 2.1", 3.2);
ret |= test(ctx, ".1 + 2.", 2.1);
ret |= test(ctx, "d_ratio(1, 2)", 0.5);
diff --git a/tools/perf/util/expr.y b/tools/perf/util/expr.y
index a30b825adb7b..635e562350c5 100644
--- a/tools/perf/util/expr.y
+++ b/tools/perf/util/expr.y
@@ -156,7 +156,7 @@ start: if_expr
}
;
-if_expr: expr IF expr ELSE expr
+if_expr: expr IF expr ELSE if_expr
{
if (fpclassify($3.val) == FP_ZERO) {
/*
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 02/22] perf expr: Remove jevents case workaround
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
2022-09-28 7:21 ` [PATCH v1 01/22] perf expr: Allow a double if expression Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics Ian Rogers
` (20 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
jevents.py no longer lowercases metrics and altering the case can cause
hashmap lookups to fail, so remove.
Signed-off-by: Ian Rogers <irogers@google.com>
---
tools/perf/util/expr.c | 11 +----------
1 file changed, 1 insertion(+), 10 deletions(-)
diff --git a/tools/perf/util/expr.c b/tools/perf/util/expr.c
index c6827900f8d3..aaacf514dc09 100644
--- a/tools/perf/util/expr.c
+++ b/tools/perf/util/expr.c
@@ -182,7 +182,7 @@ int expr__add_ref(struct expr_parse_ctx *ctx, struct metric_ref *ref)
{
struct expr_id_data *data_ptr = NULL, *old_data = NULL;
char *old_key = NULL;
- char *name, *p;
+ char *name;
int ret;
data_ptr = zalloc(sizeof(*data_ptr));
@@ -195,15 +195,6 @@ int expr__add_ref(struct expr_parse_ctx *ctx, struct metric_ref *ref)
return -ENOMEM;
}
- /*
- * The jevents tool converts all metric expressions
- * to lowercase, including metric references, hence
- * we need to add lowercase name for metric, so it's
- * properly found.
- */
- for (p = name; *p; p++)
- *p = tolower(*p);
-
/*
* Intentionally passing just const char pointers,
* originally from 'struct pmu_event' object.
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
2022-09-28 7:21 ` [PATCH v1 01/22] perf expr: Allow a double if expression Ian Rogers
2022-09-28 7:21 ` [PATCH v1 02/22] perf expr: Remove jevents case workaround Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-29 8:48 ` Xing Zhengjun
2022-09-28 7:21 ` [PATCH v1 04/22] perf vendor events: Update Intel skylakex Ian Rogers
` (19 subsequent siblings)
22 siblings, 1 reply; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Counts are scaled prior to going into saved_value, reverse the scaling
so that metrics don't double scale values.
Signed-off-by: Ian Rogers <irogers@google.com>
---
tools/perf/util/stat-shadow.c | 9 +++++++--
1 file changed, 7 insertions(+), 2 deletions(-)
diff --git a/tools/perf/util/stat-shadow.c b/tools/perf/util/stat-shadow.c
index 9e1eddeff21b..b5cedd37588f 100644
--- a/tools/perf/util/stat-shadow.c
+++ b/tools/perf/util/stat-shadow.c
@@ -865,11 +865,16 @@ static int prepare_metric(struct evsel **metric_events,
if (!v)
break;
stats = &v->stats;
- scale = 1.0;
+ /*
+ * If an event was scaled during stat gathering, reverse
+ * the scale before computing the metric.
+ */
+ scale = 1.0 / metric_events[i]->scale;
+
source_count = evsel__source_count(metric_events[i]);
if (v->metric_other)
- metric_total = v->metric_total;
+ metric_total = v->metric_total * scale;
}
n = strdup(evsel__metric_id(metric_events[i]));
if (!n)
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 04/22] perf vendor events: Update Intel skylakex
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (2 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 05/22] perf vendor events: Update Intel alderlake Ian Rogers
` (18 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v1.28, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Removal of ScaleUnit from uncore events by Zhengjun Xing
<zhengjun.xing@linux.intel.com>.
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed
in a group named after their parent allowing children of a metric
to be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested on a skylakex manually and with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
93: perf all metricgroups test : Ok
94: perf all metrics test : Skip
95: perf all PMU test : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/skylakex/skx-metrics.json | 859 +++++++++++++-----
.../arch/x86/skylakex/uncore-memory.json | 18 +-
.../arch/x86/skylakex/uncore-other.json | 19 +-
3 files changed, 653 insertions(+), 243 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/skylakex/skx-metrics.json b/tools/perf/pmu-events/arch/x86/skylakex/skx-metrics.json
index 6a6764e1504b..7e4a2d51fc0e 100644
--- a/tools/perf/pmu-events/arch/x86/skylakex/skx-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/skylakex/skx-metrics.json
@@ -1,148 +1,639 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "(ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_64B.IFTAG_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT))) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "9 * BACLEARS.ANY / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - tma_frontend_bound - (UOPS_ISSUED.ANY + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(12 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (11 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) / ((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@)) * ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((44 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM * (OFFCORE_RESPONSE.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE / (OFFCORE_RESPONSE.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE + OFFCORE_RESPONSE.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD))) + (44 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(44 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM * (1 - (OFFCORE_RESPONSE.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE / (OFFCORE_RESPONSE.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE + OFFCORE_RESPONSE.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(17 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "(59.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "(127 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "((89.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM + (89.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 11 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "((110 * Average_Frequency) * (OFFCORE_RESPONSE.DEMAND_RFO.L3_MISS.REMOTE_HITM + OFFCORE_RESPONSE.PF_L2_RFO.L3_MISS.REMOTE_HITM) + (47.5 * Average_Frequency) * (OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.HITM_OTHER_CORE + OFFCORE_RESPONSE.PF_L2_RFO.L3_HIT.HITM_OTHER_CORE)) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(UOPS_EXECUTED.CORE_CYCLES_NONE / 2 if #SMT_on else CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "PARTIAL_RAT_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: PARTIAL_RAT_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "CLKS * UOPS_ISSUED.VECTOR_WIDTH_MISMATCH / UOPS_ISSUED.ANY",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((UOPS_EXECUTED.CORE_CYCLES_GE_1 - UOPS_EXECUTED.CORE_CYCLES_GE_2) / 2 if #SMT_on else EXE_ACTIVITY.1_PORTS_UTIL) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((UOPS_EXECUTED.CORE_CYCLES_GE_2 - UOPS_EXECUTED.CORE_CYCLES_GE_3) / 2 if #SMT_on else EXE_ACTIVITY.2_PORTS_UTIL) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "(UOPS_EXECUTED.CORE_CYCLES_GE_3 / 2 if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_3) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
},
{
- "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
- "MetricExpr": "100 * ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "Bad;BadSpec;BrMispredicts",
- "MetricName": "Mispredictions"
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_512b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_INST_RETIRED.ANY / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions",
+ "MetricExpr": "tma_light_operations * UOPS_RETIRED.MACRO_FUSED / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fused_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions. The instruction pairs of CMP+JCC or DEC+JCC are commonly used examples."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused",
+ "MetricExpr": "tma_light_operations * (BR_INST_RETIRED.ALL_BRANCHES - UOPS_RETIRED.MACRO_FUSED) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_non_fused_branches",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused. Non-conditional branches like direct JMP or CALL would count here. Can be used to examine fusible conditional jumps that were not fused."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_memory_operations + tma_fused_instructions + tma_non_fused_branches + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS + UOPS_RETIRED.MACRO_FUSED - INST_RETIRED.ANY) / SLOTS",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * (FP_ASSIST.ANY + OTHER_ASSISTS.ANY) / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
- "MetricExpr": "100 * ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "Bad;BadSpec;BrMispredicts_SMT",
- "MetricName": "Mispredictions_SMT"
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
},
{
"BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (OFFCORE_REQUESTS_BUFFER.SQ_FULL / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) ) + ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( ((L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )) * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CPU_CLK_UNHALTED.THREAD) / #(max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) ",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_fb_full / (tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "Memory_Bandwidth"
},
- {
- "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2 ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) ) + ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( ((L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )) * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CPU_CLK_UNHALTED.THREAD) / #(max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) ",
- "MetricGroup": "Mem;MemoryBW;Offcore_SMT",
- "MetricName": "Memory_Bandwidth_SMT"
- },
{
"BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD ) / CPU_CLK_UNHALTED.THREAD - (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD)) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (( (20.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) - (3.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) ) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) + ( (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD)) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) )",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)))",
"MetricGroup": "Mem;MemoryLat;Offcore",
"MetricName": "Memory_Latency"
},
- {
- "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD ) / CPU_CLK_UNHALTED.THREAD - (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD)) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( (20.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) - (3.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) ) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) + ( (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD)) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) )",
- "MetricGroup": "Mem;MemoryLat;Offcore_SMT",
- "MetricName": "Memory_Latency_SMT"
- },
{
"BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( 9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE , max( CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS , 0 ) ) / CPU_CLK_UNHALTED.THREAD) / (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) + ( (EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (( 9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE ) / CPU_CLK_UNHALTED.THREAD) / #(EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) ) ) ",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency))) ",
"MetricGroup": "Mem;MemoryTLB;Offcore",
"MetricName": "Memory_Data_TLBs"
},
- {
- "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( 9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE , max( CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS , 0 ) ) / CPU_CLK_UNHALTED.THREAD) / (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) + ( (EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( 9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / #(EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) ) ) ",
- "MetricGroup": "Mem;MemoryTLB;Offcore_SMT",
- "MetricName": "Memory_Data_TLBs_SMT"
- },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) ) / (4 * CPU_CLK_UNHALTED.THREAD))",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - (BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
- {
- "BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))",
- "MetricGroup": "Ret_SMT",
- "MetricName": "Branching_Overhead_SMT"
- },
{
"BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
"MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
"MetricName": "Big_Code"
},
- {
- "BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))",
- "MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB_SMT",
- "MetricName": "Big_Code_SMT"
- },
{
"BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
- "MetricExpr": "100 * ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) - (100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)))",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
"MetricGroup": "Fed;FetchBW;Frontend",
"MetricName": "Instruction_Fetch_BW"
},
- {
- "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
- "MetricExpr": "100 * ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) - (100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))",
- "MetricGroup": "Fed;FetchBW;Frontend_SMT",
- "MetricName": "Instruction_Fetch_BW_SMT"
- },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -166,16 +657,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -185,63 +670,38 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
- {
- "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Cor;Flops;HPC_SMT",
- "MetricName": "FP_Arith_Utilization_SMT",
- "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common). SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
- "MetricExpr": "( 1 - ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)))) / ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) if ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)))) < ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) else 1 ) if 0 > 0.5 else 0",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
"MetricGroup": "Cor;SMT",
"MetricName": "Core_Bound_Likely"
},
- {
- "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
- "MetricExpr": "( 1 - ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))) / ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) if ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))) < ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) else 1 ) if (1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 )) > 0.5 else 0",
- "MetricGroup": "Cor;SMT_SMT",
- "MetricName": "Core_Bound_Likely_SMT"
- },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -283,13 +743,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -310,21 +770,21 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX512",
"PublicDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -336,9 +796,9 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -373,16 +833,10 @@
},
{
"BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
- "MetricExpr": "100 * ( (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * (DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + ((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))) * (( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / CPU_CLK_UNHALTED.THREAD / 2) / #((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))) )",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_mite))",
"MetricGroup": "DSBmiss;Fed",
"MetricName": "DSB_Misses"
},
- {
- "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
- "MetricExpr": "100 * ( (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * (DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + ((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * (( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) / 2) / #((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) )",
- "MetricGroup": "DSBmiss;Fed_SMT",
- "MetricName": "DSB_Misses_SMT"
- },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -397,16 +851,10 @@
},
{
"BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) * (4 * CPU_CLK_UNHALTED.THREAD) / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;BrMispredicts",
"MetricName": "Branch_Misprediction_Cost"
},
- {
- "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) * (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / BR_MISP_RETIRED.ALL_BRANCHES",
- "MetricGroup": "Bad;BrMispredicts_SMT",
- "MetricName": "Branch_Misprediction_Cost_SMT"
- },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.NOT_TAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -415,101 +863,95 @@
},
{
"BriefDescription": "Fraction of branches that are taken conditionals",
- "MetricExpr": "( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches;CodeGen;PGO",
"MetricName": "Cond_TK"
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
{
"BriefDescription": "Fraction of branches that are unconditional (direct or indirect) jumps",
- "MetricExpr": "(BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_TAKEN - (BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "Jump"
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -536,37 +978,37 @@
},
{
"BriefDescription": "Rate of silent evictions from the L2 cache per Kilo instruction where the evicted lines are dropped (no writeback to L3 or memory)",
- "MetricExpr": "1000 * L2_LINES_OUT.SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_Silent_PKI"
},
{
"BriefDescription": "Rate of non silent evictions from the L2 cache per Kilo instruction",
- "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_NonSilent_PKI"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -578,68 +1020,47 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / 2 / CORE_CLKS if #SMT_on else CORE_POWER.LVL0_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License0_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes."
},
- {
- "BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / 2 / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Power_SMT",
- "MetricName": "Power_License0_Utilization_SMT",
- "PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes. SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / 2 / CORE_CLKS if #SMT_on else CORE_POWER.LVL1_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License1_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions."
},
- {
- "BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / 2 / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Power_SMT",
- "MetricName": "Power_License1_Utilization_SMT",
- "PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions. SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX)",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / 2 / CORE_CLKS if #SMT_on else CORE_POWER.LVL2_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License2_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions."
},
- {
- "BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / 2 / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Power_SMT",
- "MetricName": "Power_License2_Utilization_SMT",
- "PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions. SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -657,13 +1078,13 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
"BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( cha@event\\=0x36\\,umask\\=0x21\\,config\\=0x40433@ / cha@event\\=0x35\\,umask\\=0x21\\,config\\=0x40433@ ) / ( cha_0@event\\=0x0@ / duration_time )",
+ "MetricExpr": "1000000000 * (cha@event\\=0x36\\,umask\\=0x21\\,config\\=0x40433@ / cha@event\\=0x35\\,umask\\=0x21\\,config\\=0x40433@) / (Socket_CLKS / duration_time)",
"MetricGroup": "Mem;MemoryLat;SoC",
"MetricName": "MEM_Read_Latency"
},
@@ -675,20 +1096,20 @@
},
{
"BriefDescription": "Average latency of data read request to external DRAM memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": "1000000000 * ( UNC_M_RPQ_OCCUPANCY / UNC_M_RPQ_INSERTS ) / imc_0@event\\=0x0@",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": "1000000000 * (UNC_M_RPQ_OCCUPANCY / UNC_M_RPQ_INSERTS) / imc_0@event\\=0x0@",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_DRAM_Read_Latency"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Writes [GB / sec]",
- "MetricExpr": "( UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART3 ) * 4 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricExpr": "(UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART3) * 4 / 1000000000 / duration_time",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Write_BW"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Reads [GB / sec]",
- "MetricExpr": "( UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART3 ) * 4 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricExpr": "(UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART3) * 4 / 1000000000 / duration_time",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Read_BW"
},
{
@@ -697,12 +1118,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cha_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -751,6 +1166,12 @@
"MetricGroup": "Power",
"MetricName": "C7_Pkg_Residency"
},
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
+ },
{
"BriefDescription": "Percentage of time spent in the active CPU power state C0",
"MetricExpr": "100 * CPU_CLK_UNHALTED.REF_TSC / TSC",
@@ -900,7 +1321,7 @@
},
{
"BriefDescription": "Uncore operating frequency in GHz",
- "MetricExpr": "( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) / 1000000000) / duration_time",
+ "MetricExpr": "( UNC_CHA_CLOCKTICKS / ( #num_cores / #num_packages * #num_packages ) / 1000000000) / duration_time",
"MetricGroup": "",
"MetricName": "uncore_frequency",
"ScaleUnit": "1GHz"
diff --git a/tools/perf/pmu-events/arch/x86/skylakex/uncore-memory.json b/tools/perf/pmu-events/arch/x86/skylakex/uncore-memory.json
index 0746fcf2ebd9..62941146e396 100644
--- a/tools/perf/pmu-events/arch/x86/skylakex/uncore-memory.json
+++ b/tools/perf/pmu-events/arch/x86/skylakex/uncore-memory.json
@@ -27,20 +27,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
+ "BriefDescription": "All DRAM Read CAS Commands issued (including underfills)",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_READ",
+ "EventName": "UNC_M_CAS_COUNT.RD",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0x3",
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller",
+ "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.RD",
+ "EventName": "LLC_MISSES.MEM_READ",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0x3",
@@ -56,20 +55,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
+ "BriefDescription": "All DRAM Write CAS commands issued",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_WRITE",
+ "EventName": "UNC_M_CAS_COUNT.WR",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0xC",
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller",
+ "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.WR",
+ "EventName": "LLC_MISSES.MEM_WRITE",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0xC",
diff --git a/tools/perf/pmu-events/arch/x86/skylakex/uncore-other.json b/tools/perf/pmu-events/arch/x86/skylakex/uncore-other.json
index f55aeadc630f..0d106fe7aae3 100644
--- a/tools/perf/pmu-events/arch/x86/skylakex/uncore-other.json
+++ b/tools/perf/pmu-events/arch/x86/skylakex/uncore-other.json
@@ -1089,7 +1089,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x01",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1101,7 +1100,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x02",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1113,7 +1111,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x04",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1125,7 +1122,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x08",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1196,7 +1192,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x01",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1208,7 +1203,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x02",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1220,7 +1214,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x04",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1232,7 +1225,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x08",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1974,20 +1966,19 @@
"Unit": "UPI LL"
},
{
- "BriefDescription": "UPI interconnect send bandwidth for payload. Derived from unc_upi_txl_flits.all_data",
+ "BriefDescription": "Valid data FLITs transmitted via any slot",
"Counter": "0,1,2,3",
"EventCode": "0x2",
- "EventName": "UPI_DATA_BANDWIDTH_TX",
+ "EventName": "UNC_UPI_TxL_FLITS.ALL_DATA",
"PerPkg": "1",
- "ScaleUnit": "7.11E-06Bytes",
- "UMask": "0xf",
+ "UMask": "0x0F",
"Unit": "UPI LL"
},
{
- "BriefDescription": "UPI interconnect send bandwidth for payload",
+ "BriefDescription": "UPI interconnect send bandwidth for payload. Derived from unc_upi_txl_flits.all_data",
"Counter": "0,1,2,3",
"EventCode": "0x2",
- "EventName": "UNC_UPI_TxL_FLITS.ALL_DATA",
+ "EventName": "UPI_DATA_BANDWIDTH_TX",
"PerPkg": "1",
"ScaleUnit": "7.11E-06Bytes",
"UMask": "0xf",
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 05/22] perf vendor events: Update Intel alderlake
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (3 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 04/22] perf vendor events: Update Intel skylakex Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 8:22 ` Xing Zhengjun
2022-09-28 7:21 ` [PATCH v1 06/22] perf vendor events: Update Intel broadwell Ian Rogers
` (17 subsequent siblings)
22 siblings, 1 reply; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v1.15, the core metrics are based on TMA 4.4
full and the atom metrics on E-core TMA 2.2.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- Addition of all 6 levels of TMA metrics. Previously metrics
involving topdown events were dropped. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/alderlake/adl-metrics.json | 1215 ++++++++++++++++-
.../pmu-events/arch/x86/alderlake/cache.json | 129 +-
.../arch/x86/alderlake/frontend.json | 12 +
.../pmu-events/arch/x86/alderlake/memory.json | 22 +
.../pmu-events/arch/x86/alderlake/other.json | 22 +
.../arch/x86/alderlake/pipeline.json | 14 +-
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
7 files changed, 1322 insertions(+), 94 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json b/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json
index 095dd8c7f161..8d61eecf2fce 100644
--- a/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json
@@ -1,22 +1,764 @@
[
+ {
+ "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
+ "MetricExpr": "topdown\\-fe\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "(topdown\\-fetch\\-lat / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS)",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "ICACHE_DATA.STALLS / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_TAG.STALLS / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(tma_branch_mispredicts / tma_bad_speculation) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (tma_branch_mispredicts / tma_bad_speculation)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "INT_MISC.UNKNOWN_BRANCH_CYCLES / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: FRONTEND_RETIRED.UNKNOWN_BRANCH",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "DECODE.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: FRONTEND_RETIRED.MS_FLOWS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "max(0, tma_frontend_bound - tma_fetch_latency)",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.MITE_CYCLES_ANY - IDQ.MITE_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu_core@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu_core@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.DSB_CYCLES_ANY - IDQ.DSB_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit",
+ "MetricExpr": "(LSD.CYCLES_ACTIVE - LSD.CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "FetchBW;LSD;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_lsd",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit. LSD typically does well sustaining Uop supply. However; in some rare cases; optimal uop-delivery could not be reached for small loops whose size (in terms of number of uops) does not suit well the LSD structure.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
+ "MetricExpr": "max(1 - (tma_frontend_bound + tma_backend_bound + tma_retiring), 0)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
+ "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "topdown\\-br\\-mispredict / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: TOPDOWN.BR_MISPREDICT_SLOTS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "max(0, tma_bad_speculation - tma_branch_mispredicts)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
+ "MetricExpr": "topdown\\-be\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
+ "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "topdown\\-mem\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two).",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((EXE_ACTIVITY.BOUND_ON_LOADS - MEMORY_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(7 * cpu_core@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - MEMORY_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(16 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (10 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "L1D_PEND_MISS.FB_FULL / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory).",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L1D_MISS - MEMORY_ACTIVITY.STALLS_L2_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L2_MISS - MEMORY_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((25 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD))) + (24 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(24 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD + MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (1 - (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(9 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "(XQ.FULL_CYCLES + L1D_PEND_MISS.L2_STALLS) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L3_MISS / CLKS)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu_core@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that).",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that).",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((MEM_STORE_RETIRED.L2_HIT * 10 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(28 * Average_Frequency) * OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores",
+ "MetricExpr": "9 * OCR.STREAMING_WR.ANY_RESPONSE / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_streaming_stores",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should Streaming stores be a bottleneck. Sample with: OCR.STREAMING_WR.ANY_RESPONSE",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * cpu_core@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "max(0, tma_backend_bound - tma_memory_bound)",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations).",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(cpu_core@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * cpu_core@EXE_ACTIVITY.2_PORTS_UTIL\\,umask\\=0xc@)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - EXE_ACTIVITY.BOUND_ON_LOADS)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * cpu_core@EXE_ACTIVITY.2_PORTS_UTIL\\,umask\\=0xc@) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "cpu_core@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ / CLKS + tma_serializing_operation * (CYCLE_ACTIVITY.STALLS_TOTAL - EXE_ACTIVITY.BOUND_ON_LOADS) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "RESOURCE_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: RESOURCE_STALLS.SCOREBOARD",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
+ "MetricExpr": "CPU_CLK_UNHALTED.PAUSE / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_slow_pause",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: CPU_CLK_UNHALTED.PAUSE_INST",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to LFENCE Instructions.",
+ "MetricExpr": "13 * MISC2_RETIRED.LFENCE / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_memory_fence",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "160 * ASSISTS.SSE_AVX_MIX / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.1_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.2_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "UOPS_EXECUTED.CYCLES_GE_3 / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_0 + UOPS_DISPATCHED.PORT_1 + UOPS_DISPATCHED.PORT_5_11 + UOPS_DISPATCHED.PORT_6) / (5 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3_10",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_2_3_10 / (3 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_4_9 + UOPS_DISPATCHED.PORT_7_8) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
+ "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "max(0, tma_retiring - tma_heavy_operations)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents overall Integer (Int) select operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_int_vector_128b + tma_int_vector_256b + tma_shuffles",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_int_operations",
+ "PublicDescription": "This metric represents overall Integer (Int) select operations fraction the CPU has executed (retired). Vector/Matrix Int operations and shuffles are counted. Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents 128-bit vector Integer ADD/SUB/SAD or VNNI (Vector Neural Network Instructions) uops fraction the CPU has retired.",
+ "MetricExpr": "(INT_VEC_RETIRED.ADD_128 + INT_VEC_RETIRED.VNNI_128) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;IntVector;Pipeline;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_int_vector_128b",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents 256-bit vector Integer ADD/SUB/SAD or VNNI (Vector Neural Network Instructions) uops fraction the CPU has retired.",
+ "MetricExpr": "(INT_VEC_RETIRED.ADD_256 + INT_VEC_RETIRED.MUL_256 + INT_VEC_RETIRED.VNNI_256) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;IntVector;Pipeline;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_int_vector_256b",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents Shuffle (cross \"vector lane\" data transfers) uops fraction the CPU has retired.",
+ "MetricExpr": "INT_VEC_RETIRED.SHUFFLES / (tma_retiring * SLOTS)",
+ "MetricGroup": "HPC;Pipeline;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_shuffles",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_UOP_RETIRED.ANY / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.MACRO_FUSED / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fused_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions. The instruction pairs of CMP+JCC or DEC+JCC are commonly used examples.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused",
+ "MetricExpr": "tma_light_operations * (BR_INST_RETIRED.ALL_BRANCHES - INST_RETIRED.MACRO_FUSED) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_non_fused_branches",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused. Non-conditional branches like direct JMP or CALL would count here. Can be used to examine fusible conditional jumps that were not fused.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_int_operations + tma_memory_operations + tma_fused_instructions + tma_non_fused_branches + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "topdown\\-heavy\\-ops / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences. Sample with: UOPS_RETIRED.HEAVY",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "UOPS_RETIRED.MS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: UOPS_RETIRED.MS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * cpu_core@ASSISTS.ANY\\,umask\\=0x1B@ / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Page Faults",
+ "MetricExpr": "99 * ASSISTS.PAGE_FAULT / SLOTS",
+ "MetricGroup": "TopdownL5;tma_assists_group",
+ "MetricName": "tma_page_faults",
+ "PublicDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Page Faults. A Page Fault may apply on first application access to a memory page. Note operating system handling of page faults accounts for the majority of its cost.",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Floating Point (FP) Assists",
+ "MetricExpr": "30 * ASSISTS.FP / SLOTS",
+ "MetricGroup": "HPC;TopdownL5;tma_assists_group",
+ "MetricName": "tma_fp_assists",
+ "PublicDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Floating Point (FP) Assists. FP Assist may apply when working with very small floating point values (so-called denormals).",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops as a result of handing SSE to AVX* or AVX* to SSE transition Assists. ",
+ "MetricExpr": "63 * ASSISTS.SSE_AVX_MIX / SLOTS",
+ "MetricGroup": "HPC;TopdownL5;tma_assists_group",
+ "MetricName": "tma_avx_assists",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources. Sample with: FRONTEND_RETIRED.MS_FLOWS",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_fb_full / (tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
+ "MetricGroup": "Mem;MemoryBW;Offcore",
+ "MetricName": "Memory_Bandwidth",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)))",
+ "MetricGroup": "Mem;MemoryLat;Offcore",
+ "MetricName": "Memory_Latency",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency + tma_streaming_stores))) ",
+ "MetricGroup": "Mem;MemoryTLB;Offcore",
+ "MetricName": "Memory_Data_TLBs",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
+ "MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
+ "MetricName": "Big_Code",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
+ "MetricGroup": "Fed;FetchBW;Frontend",
+ "MetricName": "Instruction_Fetch_BW",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Uops Per Instruction",
+ "MetricExpr": "(tma_retiring * SLOTS) / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;Ret;Retire",
+ "MetricName": "UPI",
+ "Unit": "cpu_core"
+ },
+ {
+ "BriefDescription": "Instruction per taken branch",
+ "MetricExpr": "(tma_retiring * SLOTS) / BR_INST_RETIRED.NEAR_TAKEN",
+ "MetricGroup": "Branches;Fed;FetchBW",
+ "MetricName": "UpTB",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI",
"Unit": "cpu_core"
},
@@ -30,14 +772,14 @@
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
"MetricExpr": "TOPDOWN.SLOTS",
- "MetricGroup": "TmaL1",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS",
"Unit": "cpu_core"
},
{
"BriefDescription": "Fraction of Physical Core issue-slots utilized by this Logical Processor",
- "MetricExpr": "TOPDOWN.SLOTS / ( TOPDOWN.SLOTS / 2 ) if #SMT_on else 1",
- "MetricGroup": "SMT;TmaL1",
+ "MetricExpr": "SLOTS / (TOPDOWN.SLOTS / 2) if #SMT_on else 1",
+ "MetricGroup": "SMT;tma_L1_group",
"MetricName": "Slots_Utilization",
"Unit": "cpu_core"
},
@@ -51,21 +793,21 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC",
"Unit": "cpu_core"
},
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc",
"Unit": "cpu_core"
},
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( FP_ARITH_DISPATCHED.PORT_0 + FP_ARITH_DISPATCHED.PORT_1 + FP_ARITH_DISPATCHED.PORT_5 ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(FP_ARITH_DISPATCHED.PORT_0 + FP_ARITH_DISPATCHED.PORT_1 + FP_ARITH_DISPATCHED.PORT_5) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common).",
@@ -73,11 +815,18 @@
},
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
+ "MetricGroup": "Cor;SMT",
+ "MetricName": "Core_Bound_Likely",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
"MetricExpr": "CPU_CLK_UNHALTED.DISTRIBUTED",
@@ -129,14 +878,14 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP",
"Unit": "cpu_core"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW.",
@@ -160,7 +909,7 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting.",
@@ -168,7 +917,7 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting.",
@@ -182,12 +931,19 @@
"Unit": "cpu_core"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
+ "MetricExpr": "(tma_retiring * SLOTS) / cpu_core@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
+ "MetricGroup": "Pipeline;Ret",
+ "MetricName": "Retire",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Estimated fraction of retirement-cycles dealing with repeat instructions",
"MetricExpr": "INST_RETIRED.REP_ITERATION / cpu_core@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
@@ -237,6 +993,13 @@
"MetricName": "DSB_Switch_Cost",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_lsd + tma_mite))",
+ "MetricGroup": "DSBmiss;Fed",
+ "MetricName": "DSB_Misses",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -251,6 +1014,13 @@
"MetricName": "IpMispredict",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricGroup": "Bad;BrMispredicts",
+ "MetricName": "Branch_Misprediction_Cost",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -267,7 +1037,7 @@
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet",
"Unit": "cpu_core"
@@ -281,7 +1051,7 @@
},
{
"BriefDescription": "Fraction of branches of other types (not individually covered by other metrics in Info.Branches group)",
- "MetricExpr": "1 - ( (BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (BR_INST_RETIRED.COND_TAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES) + ((BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES) )",
+ "MetricExpr": "1 - (Cond_NT + Cond_TK + CallRet + Jump)",
"MetricGroup": "Bad;Branches",
"MetricName": "Other_Branches",
"Unit": "cpu_core"
@@ -296,77 +1066,77 @@
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP",
"Unit": "cpu_core"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI",
"Unit": "cpu_core"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load",
"Unit": "cpu_core"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI",
"Unit": "cpu_core"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All",
"Unit": "cpu_core"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load",
"Unit": "cpu_core"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All",
"Unit": "cpu_core"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load",
"Unit": "cpu_core"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI",
"Unit": "cpu_core"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI",
"Unit": "cpu_core"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING ) / ( 4 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING) / (4 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization",
"Unit": "cpu_core"
@@ -401,28 +1171,28 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T",
"Unit": "cpu_core"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T",
"Unit": "cpu_core"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T",
"Unit": "cpu_core"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T",
"Unit": "cpu_core"
@@ -436,14 +1206,14 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency",
"Unit": "cpu_core"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine.",
@@ -451,7 +1221,7 @@
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization",
"Unit": "cpu_core"
@@ -479,7 +1249,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use",
"Unit": "cpu_core"
@@ -500,41 +1270,358 @@
},
{
"BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to frontend stalls.",
- "MetricExpr": "TOPDOWN_FE_BOUND.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
+ "MetricExpr": "TOPDOWN_FE_BOUND.ALL / SLOTS",
"MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricName": "tma_frontend_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to frontend bandwidth restrictions due to decode, predecode, cisc, and other limitations.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.FRONTEND_LATENCY / SLOTS",
+ "MetricGroup": "TopdownL2;tma_frontend_bound_group",
+ "MetricName": "tma_frontend_latency",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to instruction cache misses.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.ICACHE / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_latency_group",
+ "MetricName": "tma_icache",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to Instruction Table Lookaside Buffer (ITLB) misses.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.ITLB / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_latency_group",
+ "MetricName": "tma_itlb",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to BACLEARS, which occurs when the Branch Target Buffer (BTB) prediction or lack thereof, was corrected by a later branch predictor in the frontend",
+ "MetricExpr": "TOPDOWN_FE_BOUND.BRANCH_DETECT / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_latency_group",
+ "MetricName": "tma_branch_detect",
+ "PublicDescription": "Counts the number of issue slots that were not delivered by the frontend due to BACLEARS, which occurs when the Branch Target Buffer (BTB) prediction or lack thereof, was corrected by a later branch predictor in the frontend. Includes BACLEARS due to all branch types including conditional and unconditional jumps, returns, and indirect branches.",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to BTCLEARS, which occurs when the Branch Target Buffer (BTB) predicts a taken branch.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.BRANCH_RESTEER / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_latency_group",
+ "MetricName": "tma_branch_resteer",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to frontend bandwidth restrictions due to decode, predecode, cisc, and other limitations.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.FRONTEND_BANDWIDTH / SLOTS",
+ "MetricGroup": "TopdownL2;tma_frontend_bound_group",
+ "MetricName": "tma_frontend_bandwidth",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to the microcode sequencer (MS).",
+ "MetricExpr": "TOPDOWN_FE_BOUND.CISC / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
+ "MetricName": "tma_cisc",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to decode stalls.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.DECODE / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
+ "MetricName": "tma_decode",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to wrong predecodes.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.PREDECODE / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
+ "MetricName": "tma_predecode",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to other common frontend stalls not categorized.",
+ "MetricExpr": "TOPDOWN_FE_BOUND.OTHER / SLOTS",
+ "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
+ "MetricName": "tma_other_fb",
"Unit": "cpu_atom"
},
{
"BriefDescription": "Counts the total number of issue slots that were not consumed by the backend because allocation is stalled due to a mispredicted jump or a machine clear",
- "MetricExpr": "TOPDOWN_BAD_SPECULATION.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
+ "MetricExpr": "(SLOTS - (TOPDOWN_FE_BOUND.ALL + TOPDOWN_BE_BOUND.ALL + TOPDOWN_RETIRING.ALL)) / SLOTS",
"MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "Counts the total number of issue slots that were not consumed by the backend because allocation is stalled due to a mispredicted jump or a machine clear. Only issue slots wasted due to fast nukes such as memory ordering nukes are counted. Other nukes are not accounted for. Counts all issue slots blocked during this recovery window including relevant microcode flows and while uops are not yet available in the instruction queue (IQ). Also includes the issue slots that were consumed by the backend but were thrown away because they were younger than the mispredict or machine clear.",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to branch mispredicts.",
+ "MetricExpr": "TOPDOWN_BAD_SPECULATION.MISPREDICT / SLOTS",
+ "MetricGroup": "TopdownL2;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend because allocation is stalled due to a machine clear (nuke) of any kind including memory ordering and memory disambiguation.",
+ "MetricExpr": "TOPDOWN_BAD_SPECULATION.MACHINE_CLEARS / SLOTS",
+ "MetricGroup": "TopdownL2;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to a machine clear (slow nuke).",
+ "MetricExpr": "TOPDOWN_BAD_SPECULATION.NUKE / SLOTS",
+ "MetricGroup": "TopdownL3;tma_machine_clears_group",
+ "MetricName": "tma_nuke",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to SMC. ",
+ "MetricExpr": "tma_nuke * (MACHINE_CLEARS.SMC / MACHINE_CLEARS.SLOW)",
+ "MetricGroup": "TopdownL4;tma_nuke_group",
+ "MetricName": "tma_smc",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to memory ordering. ",
+ "MetricExpr": "tma_nuke * (MACHINE_CLEARS.MEMORY_ORDERING / MACHINE_CLEARS.SLOW)",
+ "MetricGroup": "TopdownL4;tma_nuke_group",
+ "MetricName": "tma_memory_ordering",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to FP assists. ",
+ "MetricExpr": "tma_nuke * (MACHINE_CLEARS.FP_ASSIST / MACHINE_CLEARS.SLOW)",
+ "MetricGroup": "TopdownL4;tma_nuke_group",
+ "MetricName": "tma_fp_assist",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to memory disambiguation. ",
+ "MetricExpr": "tma_nuke * (MACHINE_CLEARS.DISAMBIGUATION / MACHINE_CLEARS.SLOW)",
+ "MetricGroup": "TopdownL4;tma_nuke_group",
+ "MetricName": "tma_disambiguation",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to page faults. ",
+ "MetricExpr": "tma_nuke * (MACHINE_CLEARS.PAGE_FAULT / MACHINE_CLEARS.SLOW)",
+ "MetricGroup": "TopdownL4;tma_nuke_group",
+ "MetricName": "tma_page_fault",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to a machine clear classified as a fast nuke due to memory ordering, memory disambiguation and memory renaming.",
+ "MetricExpr": "TOPDOWN_BAD_SPECULATION.FASTNUKE / SLOTS",
+ "MetricGroup": "TopdownL3;tma_machine_clears_group",
+ "MetricName": "tma_fast_nuke",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "TOPDOWN_BE_BOUND.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
+ "MetricExpr": "TOPDOWN_BE_BOUND.ALL / SLOTS",
"MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls. Note that uops must be available for consumption in order for this event to count. If a uop is not available (IQ is empty), this event will not count. The rest of these subevents count backend stalls, in cycles, due to an outstanding request which is memory bound vs core bound. The subevents are not slot based events and therefore can not be precisely added or subtracted from the Backend_Bound_Aux subevents which are slot based.",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts the number of cycles due to backend bound stalls that are core execution bound and not attributed to outstanding demand load or store stalls. ",
+ "MetricExpr": "max(0, tma_backend_bound - tma_load_store_bound)",
+ "MetricGroup": "TopdownL2;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles the core is stalled due to stores or loads. ",
+ "MetricExpr": "min((TOPDOWN_BE_BOUND.ALL / SLOTS), (LD_HEAD.ANY_AT_RET / CLKS) + tma_store_bound)",
+ "MetricGroup": "TopdownL2;tma_backend_bound_group",
+ "MetricName": "tma_load_store_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles the core is stalled due to store buffer full.",
+ "MetricExpr": "tma_mem_scheduler * (MEM_SCHEDULER_BLOCK.ST_BUF / MEM_SCHEDULER_BLOCK.ALL)",
+ "MetricGroup": "TopdownL3;tma_load_store_bound_group",
+ "MetricName": "tma_store_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a load block.",
+ "MetricExpr": "LD_HEAD.L1_BOUND_AT_RET / CLKS",
+ "MetricGroup": "TopdownL3;tma_load_store_bound_group",
+ "MetricName": "tma_l1_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a store forward block.",
+ "MetricExpr": "LD_HEAD.ST_ADDR_AT_RET / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a first level TLB miss.",
+ "MetricExpr": "LD_HEAD.DTLB_MISS_AT_RET / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_stlb_hit",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a second level TLB miss requiring a page walk.",
+ "MetricExpr": "LD_HEAD.PGWALK_AT_RET / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_stlb_miss",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a number of other load blocks.",
+ "MetricExpr": "LD_HEAD.OTHER_AT_RET / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_other_l1",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles a core is stalled due to a demand load which hit in the L2 Cache.",
+ "MetricExpr": "(MEM_BOUND_STALLS.LOAD_L2_HIT / CLKS) - (MEM_BOUND_STALLS_AT_RET_CORRECTION * MEM_BOUND_STALLS.LOAD_L2_HIT / MEM_BOUND_STALLS.LOAD)",
+ "MetricGroup": "TopdownL3;tma_load_store_bound_group",
+ "MetricName": "tma_l2_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles a core is stalled due to a demand load which hit in the Last Level Cache (LLC) or other core with HITE/F/M.",
+ "MetricExpr": "(MEM_BOUND_STALLS.LOAD_LLC_HIT / CLKS) - (MEM_BOUND_STALLS_AT_RET_CORRECTION * MEM_BOUND_STALLS.LOAD_LLC_HIT / MEM_BOUND_STALLS.LOAD)",
+ "MetricGroup": "TopdownL3;tma_load_store_bound_group",
+ "MetricName": "tma_l3_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles the core is stalled due to a demand load miss which hit in DRAM or MMIO (Non-DRAM).",
+ "MetricExpr": "(MEM_BOUND_STALLS.LOAD_DRAM_HIT / CLKS) - (MEM_BOUND_STALLS_AT_RET_CORRECTION * MEM_BOUND_STALLS.LOAD_DRAM_HIT / MEM_BOUND_STALLS.LOAD)",
+ "MetricGroup": "TopdownL3;tma_load_store_bound_group",
+ "MetricName": "tma_dram_bound",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles the core is stalled due to a demand load miss which hits in the L2, LLC, DRAM or MMIO (Non-DRAM) but could not be correctly attributed or cycles in which the load miss is waiting on a request buffer.",
+ "MetricExpr": "max(0, tma_load_store_bound - (tma_store_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_dram_bound))",
+ "MetricGroup": "TopdownL3;tma_load_store_bound_group",
+ "MetricName": "tma_other_load_store",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls",
- "MetricExpr": "(TOPDOWN_BE_BOUND.ALL / (5 * CPU_CLK_UNHALTED.CORE))",
+ "MetricExpr": "tma_backend_bound",
"MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound_Aux",
+ "MetricName": "tma_backend_bound_aux",
"PublicDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls. Note that UOPS must be available for consumption in order for this event to count. If a uop is not available (IQ is empty), this event will not count. All of these subevents count backend stalls, in slots, due to a resource limitation. These are not cycle based events and therefore can not be precisely added or subtracted from the Backend_Bound subevents which are cycle based. These subevents are supplementary to Backend_Bound and can be used to analyze results from a resource perspective at allocation. ",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls",
+ "MetricExpr": "tma_backend_bound",
+ "MetricGroup": "TopdownL2;tma_backend_bound_aux_group",
+ "MetricName": "tma_resource_bound",
+ "PublicDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls. Note that uops must be available for consumption in order for this event to count. If a uop is not available (IQ is empty), this event will not count. ",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to memory reservation stalls in which a scheduler is not able to accept uops.",
+ "MetricExpr": "TOPDOWN_BE_BOUND.MEM_SCHEDULER / SLOTS",
+ "MetricGroup": "TopdownL3;tma_resource_bound_group",
+ "MetricName": "tma_mem_scheduler",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles, relative to the number of mem_scheduler slots, in which uops are blocked due to store buffer full",
+ "MetricExpr": "tma_mem_scheduler * (MEM_SCHEDULER_BLOCK.ST_BUF / MEM_SCHEDULER_BLOCK.ALL)",
+ "MetricGroup": "TopdownL4;tma_mem_scheduler_group",
+ "MetricName": "tma_st_buffer",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles, relative to the number of mem_scheduler slots, in which uops are blocked due to load buffer full",
+ "MetricExpr": "tma_mem_scheduler * MEM_SCHEDULER_BLOCK.LD_BUF / MEM_SCHEDULER_BLOCK.ALL",
+ "MetricGroup": "TopdownL4;tma_mem_scheduler_group",
+ "MetricName": "tma_ld_buffer",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cycles, relative to the number of mem_scheduler slots, in which uops are blocked due to RSV full relative ",
+ "MetricExpr": "tma_mem_scheduler * MEM_SCHEDULER_BLOCK.RSV / MEM_SCHEDULER_BLOCK.ALL",
+ "MetricGroup": "TopdownL4;tma_mem_scheduler_group",
+ "MetricName": "tma_rsv",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to IEC or FPC RAT stalls, which can be due to FIQ or IEC reservation stalls in which the integer, floating point or SIMD scheduler is not able to accept uops.",
+ "MetricExpr": "TOPDOWN_BE_BOUND.NON_MEM_SCHEDULER / SLOTS",
+ "MetricGroup": "TopdownL3;tma_resource_bound_group",
+ "MetricName": "tma_non_mem_scheduler",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to the physical register file unable to accept an entry (marble stalls).",
+ "MetricExpr": "TOPDOWN_BE_BOUND.REGISTER / SLOTS",
+ "MetricGroup": "TopdownL3;tma_resource_bound_group",
+ "MetricName": "tma_register",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to the reorder buffer being full (ROB stalls).",
+ "MetricExpr": "TOPDOWN_BE_BOUND.REORDER_BUFFER / SLOTS",
+ "MetricGroup": "TopdownL3;tma_resource_bound_group",
+ "MetricName": "tma_reorder_buffer",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to certain allocation restrictions.",
+ "MetricExpr": "TOPDOWN_BE_BOUND.ALLOC_RESTRICTIONS / SLOTS",
+ "MetricGroup": "TopdownL3;tma_resource_bound_group",
+ "MetricName": "tma_alloc_restriction",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to scoreboards from the instruction queue (IQ), jump execution unit (JEU), or microcode sequencer (MS).",
+ "MetricExpr": "TOPDOWN_BE_BOUND.SERIALIZATION / SLOTS",
+ "MetricGroup": "TopdownL3;tma_resource_bound_group",
+ "MetricName": "tma_serialization",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts the numer of issue slots that result in retirement slots. ",
- "MetricExpr": "TOPDOWN_RETIRING.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
+ "MetricExpr": "TOPDOWN_RETIRING.ALL / SLOTS",
"MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
+ "MetricName": "tma_retiring",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of uops that are not from the microsequencer. ",
+ "MetricExpr": "(TOPDOWN_RETIRING.ALL - UOPS_RETIRED.MS) / SLOTS",
+ "MetricGroup": "TopdownL2;tma_retiring_group",
+ "MetricName": "tma_base",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of floating point operations per uop with all default weighting.",
+ "MetricExpr": "UOPS_RETIRED.FPDIV / SLOTS",
+ "MetricGroup": "TopdownL3;tma_base_group",
+ "MetricName": "tma_fp_uops",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of uops retired excluding ms and fp div uops.",
+ "MetricExpr": "(TOPDOWN_RETIRING.ALL - UOPS_RETIRED.MS - UOPS_RETIRED.FPDIV) / SLOTS",
+ "MetricGroup": "TopdownL3;tma_base_group",
+ "MetricName": "tma_other_ret",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of uops that are from the complex flows issued by the micro-sequencer (MS)",
+ "MetricExpr": "UOPS_RETIRED.MS / SLOTS",
+ "MetricGroup": "TopdownL2;tma_retiring_group",
+ "MetricName": "tma_ms_uops",
+ "PublicDescription": "Counts the number of uops that are from the complex flows issued by the micro-sequencer (MS). This includes uops from flows due to complex instructions, faults, assists, and inserted flows.",
"Unit": "cpu_atom"
},
{
@@ -551,19 +1638,19 @@
},
{
"BriefDescription": "",
- "MetricExpr": "5 * CPU_CLK_UNHALTED.CORE",
+ "MetricExpr": "5 * CLKS",
"MetricName": "SLOTS",
"Unit": "cpu_atom"
},
{
"BriefDescription": "Instructions Per Cycle",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.CORE",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricName": "IPC",
"Unit": "cpu_atom"
},
{
"BriefDescription": "Cycles Per Instruction",
- "MetricExpr": "CPU_CLK_UNHALTED.CORE / INST_RETIRED.ANY",
+ "MetricExpr": "CLKS / INST_RETIRED.ANY",
"MetricName": "CPI",
"Unit": "cpu_atom"
},
@@ -623,7 +1710,7 @@
},
{
"BriefDescription": "Instructions per Far Branch",
- "MetricExpr": "INST_RETIRED.ANY / ( BR_INST_RETIRED.FAR_BRANCH / 2 )",
+ "MetricExpr": "INST_RETIRED.ANY / (BR_INST_RETIRED.FAR_BRANCH / 2)",
"MetricName": "IpFarBranch",
"Unit": "cpu_atom"
},
@@ -665,7 +1752,7 @@
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.CORE / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricName": "Turbo_Utilization",
"Unit": "cpu_atom"
},
@@ -681,12 +1768,6 @@
"MetricName": "CPU_Utilization",
"Unit": "cpu_atom"
},
- {
- "BriefDescription": "Estimated Pause cost. In percent",
- "MetricExpr": "100 * SERIALIZATION.NON_C01_MS_SCB / (5 * CPU_CLK_UNHALTED.CORE)",
- "MetricName": "Estimated_Pause_Cost",
- "Unit": "cpu_atom"
- },
{
"BriefDescription": "Cycle cost per L2 hit",
"MetricExpr": "MEM_BOUND_STALLS.LOAD_L2_HIT / MEM_LOAD_UOPS_RETIRED.L2_HIT",
@@ -707,19 +1788,19 @@
},
{
"BriefDescription": "Percent of instruction miss cost that hit in the L2",
- "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_L2_HIT / ( MEM_BOUND_STALLS.IFETCH )",
+ "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_L2_HIT / (MEM_BOUND_STALLS.IFETCH)",
"MetricName": "Inst_Miss_Cost_L2Hit_Percent",
"Unit": "cpu_atom"
},
{
"BriefDescription": "Percent of instruction miss cost that hit in the L3",
- "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_LLC_HIT / ( MEM_BOUND_STALLS.IFETCH )",
+ "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_LLC_HIT / (MEM_BOUND_STALLS.IFETCH)",
"MetricName": "Inst_Miss_Cost_L3Hit_Percent",
"Unit": "cpu_atom"
},
{
"BriefDescription": "Percent of instruction miss cost that hit in DRAM",
- "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_DRAM_HIT / ( MEM_BOUND_STALLS.IFETCH )",
+ "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_DRAM_HIT / (MEM_BOUND_STALLS.IFETCH)",
"MetricName": "Inst_Miss_Cost_DRAMHit_Percent",
"Unit": "cpu_atom"
},
diff --git a/tools/perf/pmu-events/arch/x86/alderlake/cache.json b/tools/perf/pmu-events/arch/x86/alderlake/cache.json
index 887dce4dfeba..2cc62d2779d2 100644
--- a/tools/perf/pmu-events/arch/x86/alderlake/cache.json
+++ b/tools/perf/pmu-events/arch/x86/alderlake/cache.json
@@ -1,4 +1,28 @@
[
+ {
+ "BriefDescription": "Counts the number of cacheable memory requests that miss in the LLC. Counts on a per core basis.",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0x2e",
+ "EventName": "LONGEST_LAT_CACHE.MISS",
+ "PEBScounters": "0,1,2,3,4,5",
+ "SampleAfterValue": "200003",
+ "Speculative": "1",
+ "UMask": "0x41",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts the number of cacheable memory requests that access the LLC. Counts on a per core basis.",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0x2e",
+ "EventName": "LONGEST_LAT_CACHE.REFERENCE",
+ "PEBScounters": "0,1,2,3,4,5",
+ "SampleAfterValue": "200003",
+ "Speculative": "1",
+ "UMask": "0x4f",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts the number of cycles the core is stalled due to an instruction cache or TLB miss which hit in the L2, LLC, DRAM or MMIO (Non-DRAM).",
"CollectPEBSRecord": "2",
@@ -210,8 +234,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 128 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_128",
@@ -219,7 +243,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x80",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -227,8 +251,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 16 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_16",
@@ -236,7 +260,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x10",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -244,8 +268,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 256 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_256",
@@ -253,7 +277,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x100",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -261,8 +285,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 32 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_32",
@@ -270,7 +294,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x20",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -278,8 +302,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 4 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_4",
@@ -287,7 +311,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x4",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -295,8 +319,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 512 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_512",
@@ -304,7 +328,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x200",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -312,8 +336,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 64 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_64",
@@ -321,7 +345,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x40",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -329,8 +353,8 @@
},
{
"BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 8 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
- "CollectPEBSRecord": "3",
- "Counter": "0,1,2,3,4,5",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1",
"Data_LA": "1",
"EventCode": "0xd0",
"EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_8",
@@ -338,7 +362,7 @@
"MSRIndex": "0x3F6",
"MSRValue": "0x8",
"PEBS": "2",
- "PEBScounters": "0,1,2,3,4,5",
+ "PEBScounters": "0,1",
"SampleAfterValue": "1000003",
"TakenAlone": "1",
"UMask": "0x5",
@@ -359,7 +383,7 @@
},
{
"BriefDescription": "Counts the number of stores uops retired. Counts with or without PEBS enabled.",
- "CollectPEBSRecord": "3",
+ "CollectPEBSRecord": "2",
"Counter": "0,1,2,3,4,5",
"Data_LA": "1",
"EventCode": "0xd0",
@@ -371,6 +395,61 @@
"UMask": "0x6",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts demand data reads that were supplied by the L3 cache.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_DATA_RD.L3_HIT",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x3F803C0001",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts demand data reads that were supplied by the L3 cache where a snoop was sent, the snoop hit, and modified data was forwarded.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x10003C0001",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts demand data reads that were supplied by the L3 cache where a snoop was sent, the snoop hit, but no data was forwarded.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_NO_FWD",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x4003C0001",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts demand data reads that were supplied by the L3 cache where a snoop was sent, the snoop hit, and non-modified data was forwarded.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x8003C0001",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
+ {
+ "BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were supplied by the L3 cache.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_RFO.L3_HIT",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x3F803C0002",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were supplied by the L3 cache where a snoop was sent, the snoop hit, and modified data was forwarded.",
"Counter": "0,1,2,3,4,5",
diff --git a/tools/perf/pmu-events/arch/x86/alderlake/frontend.json b/tools/perf/pmu-events/arch/x86/alderlake/frontend.json
index 2cfa70b2d5e1..da1a7ba0e568 100644
--- a/tools/perf/pmu-events/arch/x86/alderlake/frontend.json
+++ b/tools/perf/pmu-events/arch/x86/alderlake/frontend.json
@@ -47,6 +47,18 @@
"UMask": "0x1",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Cycles the Microcode Sequencer is busy.",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1,2,3",
+ "EventCode": "0x87",
+ "EventName": "DECODE.MS_BUSY",
+ "PEBScounters": "0,1,2,3",
+ "SampleAfterValue": "500009",
+ "Speculative": "1",
+ "UMask": "0x2",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "DSB-to-MITE switch true penalty cycles.",
"CollectPEBSRecord": "2",
diff --git a/tools/perf/pmu-events/arch/x86/alderlake/memory.json b/tools/perf/pmu-events/arch/x86/alderlake/memory.json
index 586fb961e46d..f894e4a0212b 100644
--- a/tools/perf/pmu-events/arch/x86/alderlake/memory.json
+++ b/tools/perf/pmu-events/arch/x86/alderlake/memory.json
@@ -82,6 +82,17 @@
"UMask": "0x1",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts demand data reads that were not supplied by the L3 cache.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_DATA_RD.L3_MISS_LOCAL",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x3F84400001",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were not supplied by the L3 cache.",
"Counter": "0,1,2,3,4,5",
@@ -93,6 +104,17 @@
"UMask": "0x1",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were not supplied by the L3 cache.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.DEMAND_RFO.L3_MISS_LOCAL",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x3F84400002",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Execution stalls while L3 cache miss demand load is outstanding.",
"CollectPEBSRecord": "2",
diff --git a/tools/perf/pmu-events/arch/x86/alderlake/other.json b/tools/perf/pmu-events/arch/x86/alderlake/other.json
index 67a9c13cc71d..c49d8ce27310 100644
--- a/tools/perf/pmu-events/arch/x86/alderlake/other.json
+++ b/tools/perf/pmu-events/arch/x86/alderlake/other.json
@@ -1,4 +1,15 @@
[
+ {
+ "BriefDescription": "Counts modified writebacks from L1 cache and L2 cache that have any type of response.",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0xB7",
+ "EventName": "OCR.COREWB_M.ANY_RESPONSE",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x10008",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts demand data reads that have any type of response.",
"Counter": "0,1,2,3,4,5",
@@ -103,6 +114,17 @@
"UMask": "0x1",
"Unit": "cpu_core"
},
+ {
+ "BriefDescription": "Counts demand data reads that were supplied by DRAM.",
+ "Counter": "0,1,2,3,4,5,6,7",
+ "EventCode": "0x2A,0x2B",
+ "EventName": "OCR.DEMAND_DATA_RD.DRAM",
+ "MSRIndex": "0x1a6,0x1a7",
+ "MSRValue": "0x184000001",
+ "SampleAfterValue": "100003",
+ "UMask": "0x1",
+ "Unit": "cpu_core"
+ },
{
"BriefDescription": "Counts demand read for ownership (RFO) requests and software prefetches for exclusive ownership (PREFETCHW) that have any type of response.",
"Counter": "0,1,2,3,4,5,6,7",
diff --git a/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json b/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json
index d02e078a90c9..1a137f7f8b7e 100644
--- a/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json
+++ b/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json
@@ -330,6 +330,18 @@
"UMask": "0x3",
"Unit": "cpu_atom"
},
+ {
+ "BriefDescription": "Counts the number of unhalted reference clock cycles at TSC frequency.",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1,2,3,4,5",
+ "EventCode": "0x3c",
+ "EventName": "CPU_CLK_UNHALTED.REF_TSC_P",
+ "PEBScounters": "0,1,2,3,4,5",
+ "SampleAfterValue": "2000003",
+ "Speculative": "1",
+ "UMask": "0x1",
+ "Unit": "cpu_atom"
+ },
{
"BriefDescription": "Counts the number of unhalted core clock cycles. (Fixed event)",
"CollectPEBSRecord": "2",
@@ -874,7 +886,7 @@
"PEBScounters": "0,1,2,3,4,5,6,7",
"SampleAfterValue": "100003",
"Speculative": "1",
- "UMask": "0x1f",
+ "UMask": "0x1b",
"Unit": "cpu_core"
},
{
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 7f2d777fd97f..594c6e96f0ce 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -1,5 +1,5 @@
Family-model,Version,Filename,EventType
-GenuineIntel-6-9[7A],v1.13,alderlake,core
+GenuineIntel-6-(97|9A|B7|BA|BF),v1.15,alderlake,core
GenuineIntel-6-(1C|26|27|35|36),v4,bonnell,core
GenuineIntel-6-(3D|47),v26,broadwell,core
GenuineIntel-6-56,v23,broadwellde,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 06/22] perf vendor events: Update Intel broadwell
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (4 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 05/22] perf vendor events: Update Intel alderlake Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 07/22] perf vendor events: Update Intel broadwellx Ian Rogers
` (16 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v26, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed
in a group named after their parent allowing children of a metric
to be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/broadwell/bdw-metrics.json | 603 ++++++++++++++----
1 file changed, 492 insertions(+), 111 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/broadwell/bdw-metrics.json b/tools/perf/pmu-events/arch/x86/broadwell/bdw-metrics.json
index d65afe3d0b06..2544dc088e20 100644
--- a/tools/perf/pmu-events/arch/x86/broadwell/bdw-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/broadwell/bdw-metrics.json
@@ -1,64 +1,482 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+ "MetricExpr": "ICACHE.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ITLB_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. ",
+ "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. ",
+ "MetricExpr": "MACHINE_CLEARS.COUNT * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "tma_branch_resteers - tma_mispredicts_resteers - tma_clears_resteers",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + RESOURCE_STALLS.SB) / (CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_LOAD_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_MISS / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "29 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS))) * CYCLE_ACTIVITY.STALLS_L2_MISS / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "60 * OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(8 * DTLB_STORE_MISSES.STLB_HIT + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_STORE_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (CYCLE_ACTIVITY.STALLS_TOTAL - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -76,8 +494,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -88,16 +506,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -107,51 +519,32 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
- {
- "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Cor;Flops;HPC_SMT",
- "MetricName": "FP_Arith_Utilization_SMT",
- "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common). SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -193,13 +586,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -220,22 +613,22 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -252,7 +645,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -264,83 +657,71 @@
},
{
"BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * (BR_MISP_RETIRED.ALL_BRANCHES * (12 * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / CPU_CLK_UNHALTED.THREAD) / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY )) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) * (4 * CPU_CLK_UNHALTED.THREAD) / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;BrMispredicts",
"MetricName": "Branch_Misprediction_Cost"
},
- {
- "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * (BR_MISP_RETIRED.ALL_BRANCHES * (12 * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / CPU_CLK_UNHALTED.THREAD) / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY )) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) * (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / BR_MISP_RETIRED.ALL_BRANCHES",
- "MetricGroup": "Bad;BrMispredicts_SMT",
- "MetricName": "Branch_Misprediction_Cost_SMT"
- },
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "(cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * (DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED)) / CORE_CLKS",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -361,19 +742,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -391,26 +772,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -428,7 +809,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 07/22] perf vendor events: Update Intel broadwellx
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (5 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 06/22] perf vendor events: Update Intel broadwell Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 08/22] perf vendor events: Update Intel cascadelakex Ian Rogers
` (15 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v19, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Uncore event updates by Zhengjun Xing <zhengjun.xing@linux.intel.com>.
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed
in a group named after their parent allowing children of a metric
to be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/broadwellx/bdx-metrics.json | 644 ++++++++++++++----
.../arch/x86/broadwellx/uncore-cache.json | 10 +-
.../x86/broadwellx/uncore-interconnect.json | 18 +-
.../arch/x86/broadwellx/uncore-memory.json | 18 +-
4 files changed, 543 insertions(+), 147 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json b/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json
index a3a15ee52841..3b5e36dd72e2 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json
@@ -1,64 +1,503 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+ "MetricExpr": "ICACHE.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ITLB_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. ",
+ "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. ",
+ "MetricExpr": "MACHINE_CLEARS.COUNT * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "tma_branch_resteers - tma_mispredicts_resteers - tma_clears_resteers",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + RESOURCE_STALLS.SB) / (CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_LOAD_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_MISS / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "41 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS))) * CYCLE_ACTIVITY.STALLS_L2_MISS / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "310 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "(200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 180 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(200 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_MISS.REMOTE_HITM + 60 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_HIT.HITM_OTHER_CORE) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(8 * DTLB_STORE_MISSES.STLB_HIT + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_STORE_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (CYCLE_ACTIVITY.STALLS_TOTAL - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -82,16 +521,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -101,51 +534,32 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
- {
- "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Cor;Flops;HPC_SMT",
- "MetricName": "FP_Arith_Utilization_SMT",
- "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common). SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -187,13 +601,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -214,22 +628,22 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -246,7 +660,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -258,83 +672,71 @@
},
{
"BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * (BR_MISP_RETIRED.ALL_BRANCHES * (12 * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / CPU_CLK_UNHALTED.THREAD) / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY )) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) * (4 * CPU_CLK_UNHALTED.THREAD) / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;BrMispredicts",
"MetricName": "Branch_Misprediction_Cost"
},
- {
- "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * (BR_MISP_RETIRED.ALL_BRANCHES * (12 * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / CPU_CLK_UNHALTED.THREAD) / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY )) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) * (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / BR_MISP_RETIRED.ALL_BRANCHES",
- "MetricGroup": "Bad;BrMispredicts_SMT",
- "MetricName": "Branch_Misprediction_Cost_SMT"
- },
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION + 7 * (DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED)) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -355,19 +757,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -385,26 +787,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -422,13 +824,13 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
"BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182@ / cbox@event\\=0x35\\,umask\\=0x3\\,filter_opc\\=0x182@ ) / ( cbox_0@event\\=0x0@ / duration_time )",
+ "MetricExpr": "1000000000 * (cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182@ / cbox@event\\=0x35\\,umask\\=0x3\\,filter_opc\\=0x182@) / (Socket_CLKS / duration_time)",
"MetricGroup": "Mem;MemoryLat;SoC",
"MetricName": "MEM_Read_Latency"
},
@@ -444,12 +846,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cbox_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -498,9 +894,15 @@
"MetricGroup": "Power",
"MetricName": "C7_Pkg_Residency"
},
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
+ },
{
"BriefDescription": "CPU operating frequency (in GHz)",
- "MetricExpr": "( CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ ) / 1000000000",
+ "MetricExpr": "(( CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ ) / 1000000000) / duration_time",
"MetricGroup": "",
"MetricName": "cpu_operating_frequency",
"ScaleUnit": "1GHz"
@@ -591,21 +993,21 @@
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) in nano seconds",
- "MetricExpr": "( 1000000000 * ( cbox@UNC_C_TOR_OCCUPANCY.MISS_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ ) / ( UNC_C_CLOCKTICKS / ( source_count(UNC_C_CLOCKTICKS) * #num_packages ) ) ) * duration_time",
+ "MetricExpr": "( 1000000000 * ( cbox@UNC_C_TOR_OCCUPANCY.MISS_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ ) / ( UNC_C_CLOCKTICKS / ( #num_cores / #num_packages * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_data_read_demand_plus_prefetch_miss_latency",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) addressed to local memory in nano seconds",
- "MetricExpr": "( 1000000000 * ( cbox@UNC_C_TOR_OCCUPANCY.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ ) / ( UNC_C_CLOCKTICKS / ( source_count(UNC_C_CLOCKTICKS) * #num_packages ) ) ) * duration_time",
+ "MetricExpr": "( 1000000000 * ( cbox@UNC_C_TOR_OCCUPANCY.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ ) / ( UNC_C_CLOCKTICKS / ( #num_cores / #num_packages * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_data_read_demand_plus_prefetch_miss_latency_for_local_requests",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) addressed to remote memory in nano seconds",
- "MetricExpr": "( 1000000000 * ( cbox@UNC_C_TOR_OCCUPANCY.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ ) / ( UNC_C_CLOCKTICKS / ( source_count(UNC_C_CLOCKTICKS) * #num_packages ) ) ) * duration_time",
+ "MetricExpr": "( 1000000000 * ( cbox@UNC_C_TOR_OCCUPANCY.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ ) / ( UNC_C_CLOCKTICKS / ( #num_cores / #num_packages * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_data_read_demand_plus_prefetch_miss_latency_for_remote_requests",
"ScaleUnit": "1ns"
@@ -654,7 +1056,7 @@
},
{
"BriefDescription": "Uncore operating frequency in GHz",
- "MetricExpr": "UNC_C_CLOCKTICKS / ( source_count(UNC_C_CLOCKTICKS) * #num_packages ) / 1000000000",
+ "MetricExpr": "( UNC_C_CLOCKTICKS / ( #num_cores / #num_packages * #num_packages ) / 1000000000) / duration_time",
"MetricGroup": "",
"MetricName": "uncore_frequency",
"ScaleUnit": "1GHz"
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json
index abee6f773c1f..449fa723d0aa 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json
@@ -947,21 +947,19 @@
"Unit": "CBO"
},
{
- "BriefDescription": "LLC misses - demand and prefetch data reads - excludes LLC prefetches. Derived from unc_c_tor_inserts.miss_opcode",
+ "BriefDescription": "TOR Inserts; Miss Opcode Match",
"Counter": "0,1,2,3",
"EventCode": "0x35",
- "EventName": "LLC_MISSES.DATA_READ",
- "Filter": "filter_opc=0x182",
+ "EventName": "UNC_C_TOR_INSERTS.MISS_OPCODE",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0x3",
"Unit": "CBO"
},
{
- "BriefDescription": "LLC misses - demand and prefetch data reads - excludes LLC prefetches",
+ "BriefDescription": "LLC misses - demand and prefetch data reads - excludes LLC prefetches. Derived from unc_c_tor_inserts.miss_opcode",
"Counter": "0,1,2,3",
"EventCode": "0x35",
- "EventName": "UNC_C_TOR_INSERTS.MISS_OPCODE",
+ "EventName": "LLC_MISSES.DATA_READ",
"Filter": "filter_opc=0x182",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json
index 071ce45620d2..cb1916f52607 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json
@@ -685,36 +685,34 @@
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of data flits transmitted . Derived from unc_q_txl_flits_g0.data",
+ "BriefDescription": "Flits Transferred - Group 0; Data Tx Flits",
"Counter": "0,1,2,3",
- "EventName": "QPI_DATA_BANDWIDTH_TX",
+ "EventName": "UNC_Q_TxL_FLITS_G0.DATA",
"PerPkg": "1",
- "ScaleUnit": "8Bytes",
"UMask": "0x2",
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of data flits transmitted ",
+ "BriefDescription": "Number of data flits transmitted . Derived from unc_q_txl_flits_g0.data",
"Counter": "0,1,2,3",
- "EventName": "UNC_Q_TxL_FLITS_G0.DATA",
+ "EventName": "QPI_DATA_BANDWIDTH_TX",
"PerPkg": "1",
"ScaleUnit": "8Bytes",
"UMask": "0x2",
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of non data (control) flits transmitted . Derived from unc_q_txl_flits_g0.non_data",
+ "BriefDescription": "Flits Transferred - Group 0; Non-Data protocol Tx Flits",
"Counter": "0,1,2,3",
- "EventName": "QPI_CTL_BANDWIDTH_TX",
+ "EventName": "UNC_Q_TxL_FLITS_G0.NON_DATA",
"PerPkg": "1",
- "ScaleUnit": "8Bytes",
"UMask": "0x4",
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of non data (control) flits transmitted ",
+ "BriefDescription": "Number of non data (control) flits transmitted . Derived from unc_q_txl_flits_g0.non_data",
"Counter": "0,1,2,3",
- "EventName": "UNC_Q_TxL_FLITS_G0.NON_DATA",
+ "EventName": "QPI_CTL_BANDWIDTH_TX",
"PerPkg": "1",
"ScaleUnit": "8Bytes",
"UMask": "0x4",
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-memory.json b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-memory.json
index 302e956a82ed..05fab7d2723e 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-memory.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-memory.json
@@ -72,20 +72,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
+ "BriefDescription": "DRAM RD_CAS and WR_CAS Commands.; All DRAM Reads (RD_CAS + Underfills)",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_READ",
+ "EventName": "UNC_M_CAS_COUNT.RD",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0x3",
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller",
+ "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.RD",
+ "EventName": "LLC_MISSES.MEM_READ",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0x3",
@@ -110,20 +109,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
+ "BriefDescription": "DRAM RD_CAS and WR_CAS Commands.; All DRAM WR_CAS (both Modes)",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_WRITE",
+ "EventName": "UNC_M_CAS_COUNT.WR",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0xC",
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller",
+ "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.WR",
+ "EventName": "LLC_MISSES.MEM_WRITE",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0xC",
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 08/22] perf vendor events: Update Intel cascadelakex
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (6 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 07/22] perf vendor events: Update Intel broadwellx Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 09/22] perf vendor events: Update elkhartlake cpuids Ian Rogers
` (14 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v1.16, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Removal of ScaleUnit from uncore events by Zhengjun Xing
<zhengjun.xing@linux.intel.com>.
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed
in a group named after their parent allowing children of a metric
to be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/cascadelakex/clx-metrics.json | 893 +++++++++++++-----
.../arch/x86/cascadelakex/uncore-memory.json | 18 +-
.../arch/x86/cascadelakex/uncore-other.json | 10 +-
3 files changed, 673 insertions(+), 248 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/cascadelakex/clx-metrics.json b/tools/perf/pmu-events/arch/x86/cascadelakex/clx-metrics.json
index 46613504b816..e6a28b861ffa 100644
--- a/tools/perf/pmu-events/arch/x86/cascadelakex/clx-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/cascadelakex/clx-metrics.json
@@ -1,148 +1,653 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "(ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_64B.IFTAG_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT))) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "9 * BACLEARS.ANY / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - tma_frontend_bound - (UOPS_ISSUED.ANY + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(12 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (11 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) / ((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@)) * ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((44 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM * (OCR.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE / (OCR.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE + OCR.DEMAND_DATA_RD.L3_HIT.HIT_OTHER_CORE_FWD))) + (44 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(44 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM * (1 - (OCR.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE / (OCR.DEMAND_DATA_RD.L3_HIT.HITM_OTHER_CORE + OCR.DEMAND_DATA_RD.L3_HIT.HIT_OTHER_CORE_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(17 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound) - tma_pmm_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "(59.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "(127 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "((89.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM + (89.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates (based on idle latencies) how often the CPU was stalled on accesses to external 3D-Xpoint (Crystal Ridge, a.k.a",
+ "MetricExpr": "(((1 - ((19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 10 * ((MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))) / ((19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 10 * ((MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))) + (25 * (MEM_LOAD_RETIRED.LOCAL_PMM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 33 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))))) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound)) if (1000000 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM) > MEM_LOAD_RETIRED.L1_MISS) else 0)",
+ "MetricGroup": "MemoryBound;Server;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_pmm_bound",
+ "PublicDescription": "This metric roughly estimates (based on idle latencies) how often the CPU was stalled on accesses to external 3D-Xpoint (Crystal Ridge, a.k.a. IXP) memory by loads, PMM stands for Persistent Memory Module. "
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 11 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "((110 * Average_Frequency) * (OCR.DEMAND_RFO.L3_MISS.REMOTE_HITM + OCR.PF_L2_RFO.L3_MISS.REMOTE_HITM) + (47.5 * Average_Frequency) * (OCR.DEMAND_RFO.L3_HIT.HITM_OTHER_CORE + OCR.PF_L2_RFO.L3_HIT.HITM_OTHER_CORE)) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(UOPS_EXECUTED.CORE_CYCLES_NONE / 2 if #SMT_on else CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "PARTIAL_RAT_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: PARTIAL_RAT_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
+ "MetricExpr": "40 * ROB_MISC_EVENTS.PAUSE_INST / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_slow_pause",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: MISC_RETIRED.PAUSE_INST"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "CLKS * UOPS_ISSUED.VECTOR_WIDTH_MISMATCH / UOPS_ISSUED.ANY",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((UOPS_EXECUTED.CORE_CYCLES_GE_1 - UOPS_EXECUTED.CORE_CYCLES_GE_2) / 2 if #SMT_on else EXE_ACTIVITY.1_PORTS_UTIL) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((UOPS_EXECUTED.CORE_CYCLES_GE_2 - UOPS_EXECUTED.CORE_CYCLES_GE_3) / 2 if #SMT_on else EXE_ACTIVITY.2_PORTS_UTIL) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "(UOPS_EXECUTED.CORE_CYCLES_GE_3 / 2 if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_3) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
},
{
- "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
- "MetricExpr": "100 * ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "Bad;BadSpec;BrMispredicts",
- "MetricName": "Mispredictions"
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_512b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_INST_RETIRED.ANY / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions",
+ "MetricExpr": "tma_light_operations * UOPS_RETIRED.MACRO_FUSED / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fused_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions. The instruction pairs of CMP+JCC or DEC+JCC are commonly used examples."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused",
+ "MetricExpr": "tma_light_operations * (BR_INST_RETIRED.ALL_BRANCHES - UOPS_RETIRED.MACRO_FUSED) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_non_fused_branches",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused. Non-conditional branches like direct JMP or CALL would count here. Can be used to examine fusible conditional jumps that were not fused."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_memory_operations + tma_fused_instructions + tma_non_fused_branches + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS + UOPS_RETIRED.MACRO_FUSED - INST_RETIRED.ANY) / SLOTS",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * (FP_ASSIST.ANY + OTHER_ASSISTS.ANY) / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
- "MetricExpr": "100 * ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "Bad;BadSpec;BrMispredicts_SMT",
- "MetricName": "Mispredictions_SMT"
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
},
{
"BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD) / #( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (OFFCORE_REQUESTS_BUFFER.SQ_FULL / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) ) + ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( ((L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )) * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CPU_CLK_UNHALTED.THREAD) / #(max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) ",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_fb_full / (tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "Memory_Bandwidth"
},
- {
- "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD) / #( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2 ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) ) + ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( ((L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )) * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CPU_CLK_UNHALTED.THREAD) / #(max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) ",
- "MetricGroup": "Mem;MemoryBW;Offcore_SMT",
- "MetricName": "Memory_Bandwidth_SMT"
- },
{
"BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD ) / CPU_CLK_UNHALTED.THREAD - (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD)) / #( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (( (20.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) - (3.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) ) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) + ( (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD)) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) )",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)))",
"MetricGroup": "Mem;MemoryLat;Offcore",
"MetricName": "Memory_Latency"
},
- {
- "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD ) / CPU_CLK_UNHALTED.THREAD - (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD)) / #( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) - ( ( ( 1 - ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) / ( ( 19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + 10 * ( (MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) ) ) + ( 25 * ( MEM_LOAD_RETIRED.LOCAL_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) + 33 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) ) ) ) ) ) ) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) if ( 1000000 * ( MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM ) > MEM_LOAD_RETIRED.L1_MISS ) else 0 ) ) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( (20.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) - (3.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) ) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) + ( (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD)) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) )",
- "MetricGroup": "Mem;MemoryLat;Offcore_SMT",
- "MetricName": "Memory_Latency_SMT"
- },
{
"BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( 9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE , max( CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS , 0 ) ) / CPU_CLK_UNHALTED.THREAD) / (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) + ( (EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (( 9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE ) / CPU_CLK_UNHALTED.THREAD) / #(EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) ) ) ",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency))) ",
"MetricGroup": "Mem;MemoryTLB;Offcore",
"MetricName": "Memory_Data_TLBs"
},
- {
- "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( 9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE , max( CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS , 0 ) ) / CPU_CLK_UNHALTED.THREAD) / (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) + ( (EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( 9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / #(EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) ) ) ",
- "MetricGroup": "Mem;MemoryTLB;Offcore_SMT",
- "MetricName": "Memory_Data_TLBs_SMT"
- },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) ) / (4 * CPU_CLK_UNHALTED.THREAD))",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - (BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
- {
- "BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))",
- "MetricGroup": "Ret_SMT",
- "MetricName": "Branching_Overhead_SMT"
- },
{
"BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
"MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
"MetricName": "Big_Code"
},
- {
- "BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))",
- "MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB_SMT",
- "MetricName": "Big_Code_SMT"
- },
{
"BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
- "MetricExpr": "100 * ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) - (100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)))",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
"MetricGroup": "Fed;FetchBW;Frontend",
"MetricName": "Instruction_Fetch_BW"
},
- {
- "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
- "MetricExpr": "100 * ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) - (100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))",
- "MetricGroup": "Fed;FetchBW;Frontend_SMT",
- "MetricName": "Instruction_Fetch_BW_SMT"
- },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -166,16 +671,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -185,63 +684,38 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
- {
- "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Cor;Flops;HPC_SMT",
- "MetricName": "FP_Arith_Utilization_SMT",
- "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common). SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
- "MetricExpr": "( 1 - ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)))) / ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) if ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)))) < ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) else 1 ) if 0 > 0.5 else 0",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
"MetricGroup": "Cor;SMT",
"MetricName": "Core_Bound_Likely"
},
- {
- "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
- "MetricExpr": "( 1 - ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))) / ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) if ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))) < ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) else 1 ) if (1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 )) > 0.5 else 0",
- "MetricGroup": "Cor;SMT_SMT",
- "MetricName": "Core_Bound_Likely_SMT"
- },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -283,13 +757,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -310,21 +784,21 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX512",
"PublicDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -336,9 +810,9 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -373,16 +847,10 @@
},
{
"BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
- "MetricExpr": "100 * ( (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * (DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + ((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))) * (( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / CPU_CLK_UNHALTED.THREAD / 2) / #((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))) )",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_mite))",
"MetricGroup": "DSBmiss;Fed",
"MetricName": "DSB_Misses"
},
- {
- "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
- "MetricExpr": "100 * ( (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * (DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + ((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * (( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) / 2) / #((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) )",
- "MetricGroup": "DSBmiss;Fed_SMT",
- "MetricName": "DSB_Misses_SMT"
- },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -397,16 +865,10 @@
},
{
"BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) * (4 * CPU_CLK_UNHALTED.THREAD) / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;BrMispredicts",
"MetricName": "Branch_Misprediction_Cost"
},
- {
- "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) * (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / BR_MISP_RETIRED.ALL_BRANCHES",
- "MetricGroup": "Bad;BrMispredicts_SMT",
- "MetricName": "Branch_Misprediction_Cost_SMT"
- },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.NOT_TAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -415,101 +877,95 @@
},
{
"BriefDescription": "Fraction of branches that are taken conditionals",
- "MetricExpr": "( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches;CodeGen;PGO",
"MetricName": "Cond_TK"
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
{
"BriefDescription": "Fraction of branches that are unconditional (direct or indirect) jumps",
- "MetricExpr": "(BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_TAKEN - (BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "Jump"
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -536,37 +992,37 @@
},
{
"BriefDescription": "Rate of silent evictions from the L2 cache per Kilo instruction where the evicted lines are dropped (no writeback to L3 or memory)",
- "MetricExpr": "1000 * L2_LINES_OUT.SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_Silent_PKI"
},
{
"BriefDescription": "Rate of non silent evictions from the L2 cache per Kilo instruction",
- "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_NonSilent_PKI"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -578,68 +1034,47 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / 2 / CORE_CLKS if #SMT_on else CORE_POWER.LVL0_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License0_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes."
},
- {
- "BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / 2 / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Power_SMT",
- "MetricName": "Power_License0_Utilization_SMT",
- "PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes. SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / 2 / CORE_CLKS if #SMT_on else CORE_POWER.LVL1_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License1_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions."
},
- {
- "BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / 2 / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Power_SMT",
- "MetricName": "Power_License1_Utilization_SMT",
- "PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions. SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX)",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / 2 / CORE_CLKS if #SMT_on else CORE_POWER.LVL2_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License2_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions."
},
- {
- "BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / 2 / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Power_SMT",
- "MetricName": "Power_License2_Utilization_SMT",
- "PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions. SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -657,13 +1092,13 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
"BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( cha@event\\=0x36\\,umask\\=0x21\\,config\\=0x40433@ / cha@event\\=0x35\\,umask\\=0x21\\,config\\=0x40433@ ) / ( cha_0@event\\=0x0@ / duration_time )",
+ "MetricExpr": "1000000000 * (cha@event\\=0x36\\,umask\\=0x21\\,config\\=0x40433@ / cha@event\\=0x35\\,umask\\=0x21\\,config\\=0x40433@) / (Socket_CLKS / duration_time)",
"MetricGroup": "Mem;MemoryLat;SoC",
"MetricName": "MEM_Read_Latency"
},
@@ -675,38 +1110,38 @@
},
{
"BriefDescription": "Average latency of data read request to external 3D X-Point memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": "( 1000000000 * ( imc@event\\=0xe0\\,umask\\=0x1@ / imc@event\\=0xe3@ ) / imc_0@event\\=0x0@ )",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": "(1000000000 * (imc@event\\=0xe0\\,umask\\=0x1@ / imc@event\\=0xe3@) / imc_0@event\\=0x0@)",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_PMM_Read_Latency"
},
{
"BriefDescription": "Average latency of data read request to external DRAM memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": "1000000000 * ( UNC_M_RPQ_OCCUPANCY / UNC_M_RPQ_INSERTS ) / imc_0@event\\=0x0@",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": "1000000000 * (UNC_M_RPQ_OCCUPANCY / UNC_M_RPQ_INSERTS) / imc_0@event\\=0x0@",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_DRAM_Read_Latency"
},
{
"BriefDescription": "Average 3DXP Memory Bandwidth Use for reads [GB / sec]",
- "MetricExpr": "( ( 64 * imc@event\\=0xe3@ / 1000000000 ) / duration_time )",
- "MetricGroup": "Mem;MemoryBW;SoC;Server",
+ "MetricExpr": "((64 * imc@event\\=0xe3@ / 1000000000) / duration_time)",
+ "MetricGroup": "Mem;MemoryBW;Server;SoC",
"MetricName": "PMM_Read_BW"
},
{
"BriefDescription": "Average 3DXP Memory Bandwidth Use for Writes [GB / sec]",
- "MetricExpr": "( ( 64 * imc@event\\=0xe7@ / 1000000000 ) / duration_time )",
- "MetricGroup": "Mem;MemoryBW;SoC;Server",
+ "MetricExpr": "((64 * imc@event\\=0xe7@ / 1000000000) / duration_time)",
+ "MetricGroup": "Mem;MemoryBW;Server;SoC",
"MetricName": "PMM_Write_BW"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Writes [GB / sec]",
- "MetricExpr": "( UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART3 ) * 4 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricExpr": "(UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_READ.PART3) * 4 / 1000000000 / duration_time",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Write_BW"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Reads [GB / sec]",
- "MetricExpr": "( UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART3 ) * 4 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricExpr": "(UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART0 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART1 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART2 + UNC_IIO_DATA_REQ_OF_CPU.MEM_WRITE.PART3) * 4 / 1000000000 / duration_time",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Read_BW"
},
{
@@ -715,12 +1150,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cha_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -769,6 +1198,12 @@
"MetricGroup": "Power",
"MetricName": "C7_Pkg_Residency"
},
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
+ },
{
"BriefDescription": "Percentage of time spent in the active CPU power state C0",
"MetricExpr": "100 * CPU_CLK_UNHALTED.REF_TSC / TSC",
@@ -778,7 +1213,7 @@
},
{
"BriefDescription": "CPU operating frequency (in GHz)",
- "MetricExpr": "( CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ ) / 1000000000",
+ "MetricExpr": "(( CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ ) / 1000000000) / duration_time",
"MetricGroup": "",
"MetricName": "cpu_operating_frequency",
"ScaleUnit": "1GHz"
@@ -869,21 +1304,21 @@
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( cha@unc_cha_tor_occupancy.ia_miss\\,config1\\=0x4043300000000@ / cha@unc_cha_tor_inserts.ia_miss\\,config1\\=0x4043300000000@ ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( cha@unc_cha_tor_occupancy.ia_miss\\,config1\\=0x4043300000000@ / cha@unc_cha_tor_inserts.ia_miss\\,config1\\=0x4043300000000@ ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_data_read_demand_plus_prefetch_miss_latency",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) addressed to local memory in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( cha@unc_cha_tor_occupancy.ia_miss\\,config1\\=0x4043200000000@ / cha@unc_cha_tor_inserts.ia_miss\\,config1\\=0x4043200000000@ ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( cha@unc_cha_tor_occupancy.ia_miss\\,config1\\=0x4043200000000@ / cha@unc_cha_tor_inserts.ia_miss\\,config1\\=0x4043200000000@ ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_data_read_demand_plus_prefetch_miss_latency_for_local_requests",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) addressed to remote memory in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( cha@unc_cha_tor_occupancy.ia_miss\\,config1\\=0x4043100000000@ / cha@unc_cha_tor_inserts.ia_miss\\,config1\\=0x4043100000000@ ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( cha@unc_cha_tor_occupancy.ia_miss\\,config1\\=0x4043100000000@ / cha@unc_cha_tor_inserts.ia_miss\\,config1\\=0x4043100000000@ ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_data_read_demand_plus_prefetch_miss_latency_for_remote_requests",
"ScaleUnit": "1ns"
@@ -939,7 +1374,7 @@
},
{
"BriefDescription": "Uncore operating frequency in GHz",
- "MetricExpr": "UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) / 1000000000",
+ "MetricExpr": "( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_CLOCKTICKS) * #num_packages ) / 1000000000) / duration_time",
"MetricGroup": "",
"MetricName": "uncore_frequency",
"ScaleUnit": "1GHz"
diff --git a/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-memory.json b/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-memory.json
index 6facfb244cd3..326b674045c6 100644
--- a/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-memory.json
+++ b/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-memory.json
@@ -27,20 +27,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
+ "BriefDescription": "All DRAM Read CAS Commands issued (including underfills)",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_READ",
+ "EventName": "UNC_M_CAS_COUNT.RD",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0x3",
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller",
+ "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.RD",
+ "EventName": "LLC_MISSES.MEM_READ",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0x3",
@@ -56,20 +55,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
+ "BriefDescription": "All DRAM Write CAS commands issued",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_WRITE",
+ "EventName": "UNC_M_CAS_COUNT.WR",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0xC",
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller",
+ "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.WR",
+ "EventName": "LLC_MISSES.MEM_WRITE",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0xC",
diff --git a/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-other.json b/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-other.json
index a29bba230f49..e10530c21ef8 100644
--- a/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-other.json
+++ b/tools/perf/pmu-events/arch/x86/cascadelakex/uncore-other.json
@@ -1477,7 +1477,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x01",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1489,7 +1488,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x02",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1501,7 +1499,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x04",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1513,7 +1510,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x08",
- "ScaleUnit": "4Bytes",
"UMask": "0x01",
"Unit": "IIO"
},
@@ -1584,7 +1580,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x01",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1596,7 +1591,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x02",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1608,7 +1602,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x04",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -1620,7 +1613,6 @@
"FCMask": "0x07",
"PerPkg": "1",
"PortMask": "0x08",
- "ScaleUnit": "4Bytes",
"UMask": "0x04",
"Unit": "IIO"
},
@@ -2254,7 +2246,7 @@
"Unit": "UPI LL"
},
{
- "BriefDescription": "FLITs received which bypassed the Slot0 Receive Buffer",
+ "BriefDescription": "FLITs received which bypassed the Slot0 Recieve Buffer",
"Counter": "0,1,2,3",
"EventCode": "0x31",
"EventName": "UNC_UPI_RxL_BYPASSED.SLOT2",
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 09/22] perf vendor events: Update elkhartlake cpuids
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (7 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 08/22] perf vendor events: Update Intel cascadelakex Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 10/22] perf vendor events: Update Intel haswell Ian Rogers
` (13 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Add cpuid that was added to https://download.01.org/perfmon/mapfile.csv
Signed-off-by: Ian Rogers <irogers@google.com>
---
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 594c6e96f0ce..6d0cd5030743 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -5,7 +5,7 @@ GenuineIntel-6-(3D|47),v26,broadwell,core
GenuineIntel-6-56,v23,broadwellde,core
GenuineIntel-6-4F,v19,broadwellx,core
GenuineIntel-6-55-[56789ABCDEF],v1.16,cascadelakex,core
-GenuineIntel-6-96,v1.03,elkhartlake,core
+GenuineIntel-6-9[6C],v1.03,elkhartlake,core
GenuineIntel-6-5[CF],v13,goldmont,core
GenuineIntel-6-7A,v1.01,goldmontplus,core
GenuineIntel-6-(3C|45|46),v31,haswell,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 10/22] perf vendor events: Update Intel haswell
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (8 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 09/22] perf vendor events: Update elkhartlake cpuids Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 11/22] perf vendor events: Update Intel haswellx Ian Rogers
` (12 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v32, the core metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../pmu-events/arch/x86/haswell/cache.json | 4 +-
.../pmu-events/arch/x86/haswell/frontend.json | 12 +-
.../arch/x86/haswell/hsw-metrics.json | 502 +++++++++++++++---
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
4 files changed, 433 insertions(+), 87 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/haswell/cache.json b/tools/perf/pmu-events/arch/x86/haswell/cache.json
index 3b0f3a264246..719b8e622f59 100644
--- a/tools/perf/pmu-events/arch/x86/haswell/cache.json
+++ b/tools/perf/pmu-events/arch/x86/haswell/cache.json
@@ -20,7 +20,7 @@
"UMask": "0x2"
},
{
- "BriefDescription": "L1D miss oustandings duration in cycles",
+ "BriefDescription": "L1D miss outstanding duration in cycles",
"Counter": "2",
"CounterHTOff": "2",
"EventCode": "0x48",
@@ -655,7 +655,7 @@
"UMask": "0x8"
},
{
- "BriefDescription": "Cacheable and noncachaeble code read requests",
+ "BriefDescription": "Cacheable and noncacheable code read requests",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0xB0",
diff --git a/tools/perf/pmu-events/arch/x86/haswell/frontend.json b/tools/perf/pmu-events/arch/x86/haswell/frontend.json
index c45a09abe5d3..18a993297108 100644
--- a/tools/perf/pmu-events/arch/x86/haswell/frontend.json
+++ b/tools/perf/pmu-events/arch/x86/haswell/frontend.json
@@ -161,7 +161,7 @@
"UMask": "0x4"
},
{
- "BriefDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
@@ -172,7 +172,7 @@
"UMask": "0x30"
},
{
- "BriefDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy.",
+ "BriefDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy.",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
@@ -182,7 +182,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequenser (MS) is busy.",
+ "BriefDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequencer (MS) is busy.",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
@@ -193,7 +193,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Uops initiated by Decode Stream Buffer (DSB) that are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops initiated by Decode Stream Buffer (DSB) that are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
@@ -203,7 +203,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Uops initiated by MITE and delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops initiated by MITE and delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
@@ -224,7 +224,7 @@
"UMask": "0x30"
},
{
- "BriefDescription": "Uops delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
diff --git a/tools/perf/pmu-events/arch/x86/haswell/hsw-metrics.json b/tools/perf/pmu-events/arch/x86/haswell/hsw-metrics.json
index 75dc6dd9a7bc..1591529b290d 100644
--- a/tools/perf/pmu-events/arch/x86/haswell/hsw-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/haswell/hsw-metrics.json
@@ -1,64 +1,428 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * min(CPU_CLK_UNHALTED.THREAD, IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+ "MetricExpr": "ICACHE.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) + RESOURCE_STALLS.SB) / (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) - CYCLE_ACTIVITY.STALLS_L1D_PENDING) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + DTLB_LOAD_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.REQUEST_FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_PENDING - CYCLE_ACTIVITY.STALLS_L2_PENDING) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "29 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS))) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=6@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "60 * OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.HITM_OTHER_CORE / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(8 * DTLB_STORE_MISSES.STLB_HIT + DTLB_STORE_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "10 * ARITH.DIVIDER_UOPS / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING)) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -76,8 +440,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -88,37 +452,25 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "( UOPS_EXECUTED.CORE / 2 / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@) ) if #SMT_on else UOPS_EXECUTED.CORE / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@)",
+ "MetricExpr": "(UOPS_EXECUTED.CORE / 2 / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@)) if #SMT_on else UOPS_EXECUTED.CORE / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -159,9 +511,9 @@
"MetricName": "BpTkBranch"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -172,7 +524,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -184,47 +536,41 @@
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION) / CORE_CLKS",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -245,19 +591,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -275,19 +621,19 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -305,7 +651,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 6d0cd5030743..5fdf72e6befd 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -8,7 +8,7 @@ GenuineIntel-6-55-[56789ABCDEF],v1.16,cascadelakex,core
GenuineIntel-6-9[6C],v1.03,elkhartlake,core
GenuineIntel-6-5[CF],v13,goldmont,core
GenuineIntel-6-7A,v1.01,goldmontplus,core
-GenuineIntel-6-(3C|45|46),v31,haswell,core
+GenuineIntel-6-(3C|45|46),v32,haswell,core
GenuineIntel-6-3F,v25,haswellx,core
GenuineIntel-6-(7D|7E|A7),v1.14,icelake,core
GenuineIntel-6-6[AC],v1.15,icelakex,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 11/22] perf vendor events: Update Intel haswellx
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (9 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 10/22] perf vendor events: Update Intel haswell Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 12/22] perf vendor events: Update Intel icelake Ian Rogers
` (11 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v26, the core metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Uncore event updates by Zhengjun Xing <zhengjun.xing@linux.intel.com>.
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Previously metrics
involving topdown events were dropped. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../pmu-events/arch/x86/haswellx/cache.json | 2 +-
.../arch/x86/haswellx/frontend.json | 12 +-
.../arch/x86/haswellx/hsx-metrics.json | 707 +++++++++++++-----
.../x86/haswellx/uncore-interconnect.json | 18 +-
.../arch/x86/haswellx/uncore-memory.json | 18 +-
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
6 files changed, 561 insertions(+), 198 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/haswellx/cache.json b/tools/perf/pmu-events/arch/x86/haswellx/cache.json
index 7557a203a1b6..427c949bed6e 100644
--- a/tools/perf/pmu-events/arch/x86/haswellx/cache.json
+++ b/tools/perf/pmu-events/arch/x86/haswellx/cache.json
@@ -691,7 +691,7 @@
"UMask": "0x8"
},
{
- "BriefDescription": "Cacheable and noncachaeble code read requests",
+ "BriefDescription": "Cacheable and noncacheable code read requests",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0xB0",
diff --git a/tools/perf/pmu-events/arch/x86/haswellx/frontend.json b/tools/perf/pmu-events/arch/x86/haswellx/frontend.json
index c45a09abe5d3..18a993297108 100644
--- a/tools/perf/pmu-events/arch/x86/haswellx/frontend.json
+++ b/tools/perf/pmu-events/arch/x86/haswellx/frontend.json
@@ -161,7 +161,7 @@
"UMask": "0x4"
},
{
- "BriefDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
@@ -172,7 +172,7 @@
"UMask": "0x30"
},
{
- "BriefDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy.",
+ "BriefDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy.",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
@@ -182,7 +182,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequenser (MS) is busy.",
+ "BriefDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequencer (MS) is busy.",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
@@ -193,7 +193,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Uops initiated by Decode Stream Buffer (DSB) that are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops initiated by Decode Stream Buffer (DSB) that are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
@@ -203,7 +203,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Uops initiated by MITE and delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops initiated by MITE and delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
@@ -224,7 +224,7 @@
"UMask": "0x30"
},
{
- "BriefDescription": "Uops delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
diff --git a/tools/perf/pmu-events/arch/x86/haswellx/hsx-metrics.json b/tools/perf/pmu-events/arch/x86/haswellx/hsx-metrics.json
index d31d76db9d84..0a411e3d9a63 100644
--- a/tools/perf/pmu-events/arch/x86/haswellx/hsx-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/haswellx/hsx-metrics.json
@@ -1,64 +1,449 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * min(CPU_CLK_UNHALTED.THREAD, IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+ "MetricExpr": "ICACHE.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) + RESOURCE_STALLS.SB) / (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) - CYCLE_ACTIVITY.STALLS_L1D_PENDING) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + DTLB_LOAD_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.REQUEST_FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_PENDING - CYCLE_ACTIVITY.STALLS_L2_PENDING) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "41 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS))) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=6@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "310 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "(200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 180 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(200 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_MISS.REMOTE_HITM + 60 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_HIT.HITM_OTHER_CORE) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(8 * DTLB_STORE_MISSES.STLB_HIT + DTLB_STORE_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "10 * ARITH.DIVIDER_UOPS / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING)) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -82,37 +467,25 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "( UOPS_EXECUTED.CORE / 2 / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@) ) if #SMT_on else UOPS_EXECUTED.CORE / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@)",
+ "MetricExpr": "(UOPS_EXECUTED.CORE / 2 / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@)) if #SMT_on else UOPS_EXECUTED.CORE / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -153,9 +526,9 @@
"MetricName": "BpTkBranch"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -166,7 +539,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -178,47 +551,41 @@
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION) / CORE_CLKS",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -239,19 +606,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -269,19 +636,19 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -299,13 +666,13 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
"BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182@ / cbox@event\\=0x35\\,umask\\=0x3\\,filter_opc\\=0x182@ ) / ( cbox_0@event\\=0x0@ / duration_time )",
+ "MetricExpr": "1000000000 * (cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182@ / cbox@event\\=0x35\\,umask\\=0x3\\,filter_opc\\=0x182@) / (Socket_CLKS / duration_time)",
"MetricGroup": "Mem;MemoryLat;SoC",
"MetricName": "MEM_Read_Latency"
},
@@ -321,12 +688,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cbox_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -375,402 +736,408 @@
"MetricGroup": "Power",
"MetricName": "C7_Pkg_Residency"
},
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
+ },
{
"BriefDescription": "CPU operating frequency (in GHz)",
- "MetricExpr": "( CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ ) / 1000000000",
+ "MetricExpr": "(( CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ ) / 1000000000) / duration_time",
"MetricGroup": "",
"MetricName": "cpu_operating_frequency",
"ScaleUnit": "1GHz"
},
{
"BriefDescription": "Cycles per instruction retired; indicating how much time each executed instruction took; in units of cycles.",
- "MetricExpr": " CPU_CLK_UNHALTED.THREAD / INST_RETIRED.ANY ",
+ "MetricExpr": "CPU_CLK_UNHALTED.THREAD / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "cpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "The ratio of number of completed memory load instructions to the total number completed instructions",
- "MetricExpr": " MEM_UOPS_RETIRED.ALL_LOADS / INST_RETIRED.ANY ",
+ "MetricExpr": "MEM_UOPS_RETIRED.ALL_LOADS / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "loads_per_instr",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "The ratio of number of completed memory store instructions to the total number completed instructions",
- "MetricExpr": " MEM_UOPS_RETIRED.ALL_STORES / INST_RETIRED.ANY ",
+ "MetricExpr": "MEM_UOPS_RETIRED.ALL_STORES / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "stores_per_instr",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of requests missing L1 data cache (includes data+rfo w/ prefetches) to the total number of completed instructions",
- "MetricExpr": " L1D.REPLACEMENT / INST_RETIRED.ANY ",
+ "MetricExpr": "L1D.REPLACEMENT / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l1d_mpi_includes_data_plus_rfo_with_prefetches",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of demand load requests hitting in L1 data cache to the total number of completed instructions",
- "MetricExpr": " MEM_LOAD_UOPS_RETIRED.L1_HIT / INST_RETIRED.ANY ",
+ "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L1_HIT / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l1d_demand_data_read_hits_per_instr",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of code read requests missing in L1 instruction cache (includes prefetches) to the total number of completed instructions",
- "MetricExpr": " L2_RQSTS.ALL_CODE_RD / INST_RETIRED.ANY ",
+ "MetricExpr": "L2_RQSTS.ALL_CODE_RD / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l1_i_code_read_misses_with_prefetches_per_instr",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of completed demand load requests hitting in L2 cache to the total number of completed instructions",
- "MetricExpr": " MEM_LOAD_UOPS_RETIRED.L2_HIT / INST_RETIRED.ANY ",
+ "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L2_HIT / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l2_demand_data_read_hits_per_instr",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of requests missing L2 cache (includes code+data+rfo w/ prefetches) to the total number of completed instructions",
- "MetricExpr": " L2_LINES_IN.ALL / INST_RETIRED.ANY ",
+ "MetricExpr": "L2_LINES_IN.ALL / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l2_mpi_includes_code_plus_data_plus_rfo_with_prefetches",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of completed data read request missing L2 cache to the total number of completed instructions",
- "MetricExpr": " MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY ",
+ "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l2_demand_data_read_mpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of code read request missing L2 cache to the total number of completed instructions",
- "MetricExpr": " L2_RQSTS.CODE_RD_MISS / INST_RETIRED.ANY ",
+ "MetricExpr": "L2_RQSTS.CODE_RD_MISS / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "l2_demand_code_mpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of completed page walks (for all page sizes) caused by a code fetch to the total number of completed instructions. This implies it missed in the ITLB (Instruction TLB) and further levels of TLB.",
- "MetricExpr": " ITLB_MISSES.WALK_COMPLETED / INST_RETIRED.ANY ",
+ "MetricExpr": "ITLB_MISSES.WALK_COMPLETED / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "itlb_mpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of completed page walks (for 2 megabyte and 4 megabyte page sizes) caused by a code fetch to the total number of completed instructions. This implies it missed in the Instruction Translation Lookaside Buffer (ITLB) and further levels of TLB.",
- "MetricExpr": " ITLB_MISSES.WALK_COMPLETED_2M_4M / INST_RETIRED.ANY ",
+ "MetricExpr": "ITLB_MISSES.WALK_COMPLETED_2M_4M / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "itlb_large_page_mpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of completed page walks (for all page sizes) caused by demand data loads to the total number of completed instructions. This implies it missed in the DTLB and further levels of TLB.",
- "MetricExpr": " DTLB_LOAD_MISSES.WALK_COMPLETED / INST_RETIRED.ANY ",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_COMPLETED / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "dtlb_load_mpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of completed page walks (for all page sizes) caused by demand data stores to the total number of completed instructions. This implies it missed in the DTLB and further levels of TLB.",
- "MetricExpr": " DTLB_STORE_MISSES.WALK_COMPLETED / INST_RETIRED.ANY ",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_COMPLETED / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "dtlb_store_mpi",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Intel(R) Quick Path Interconnect (QPI) data transmit bandwidth (MB/sec)",
- "MetricExpr": "( UNC_Q_TxL_FLITS_G0.DATA * 8 / 1000000) / duration_time",
+ "MetricExpr": "( UNC_Q_TxL_FLITS_G0.DATA * 8 / 1000000) / duration_time",
"MetricGroup": "",
"MetricName": "qpi_data_transmit_bw_only_data",
"ScaleUnit": "1MB/s"
},
{
"BriefDescription": "DDR memory read bandwidth (MB/sec)",
- "MetricExpr": "( UNC_M_CAS_COUNT.RD * 64 / 1000000) / duration_time",
+ "MetricExpr": "( UNC_M_CAS_COUNT.RD * 64 / 1000000) / duration_time",
"MetricGroup": "",
"MetricName": "memory_bandwidth_read",
"ScaleUnit": "1MB/s"
},
{
"BriefDescription": "DDR memory write bandwidth (MB/sec)",
- "MetricExpr": "( UNC_M_CAS_COUNT.WR * 64 / 1000000) / duration_time",
+ "MetricExpr": "( UNC_M_CAS_COUNT.WR * 64 / 1000000) / duration_time",
"MetricGroup": "",
"MetricName": "memory_bandwidth_write",
"ScaleUnit": "1MB/s"
},
{
"BriefDescription": "DDR memory bandwidth (MB/sec)",
- "MetricExpr": "(( UNC_M_CAS_COUNT.RD + UNC_M_CAS_COUNT.WR ) * 64 / 1000000) / duration_time",
+ "MetricExpr": "(( UNC_M_CAS_COUNT.RD + UNC_M_CAS_COUNT.WR ) * 64 / 1000000) / duration_time",
"MetricGroup": "",
"MetricName": "memory_bandwidth_total",
"ScaleUnit": "1MB/s"
},
{
"BriefDescription": "Bandwidth of IO reads that are initiated by end device controllers that are requesting memory from the CPU.",
- "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x19e@ * 64 / 1000000) / duration_time",
+ "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x19e@ * 64 / 1000000) / duration_time",
"MetricGroup": "",
"MetricName": "io_bandwidth_read",
"ScaleUnit": "1MB/s"
},
{
"BriefDescription": "Bandwidth of IO writes that are initiated by end device controllers that are writing memory to the CPU.",
- "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x1c8\\,filter_tid\\=0x3e@ * 64 / 1000000) / duration_time",
+ "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x1c8\\,filter_tid\\=0x3e@ * 64 / 1000000) / duration_time",
"MetricGroup": "",
"MetricName": "io_bandwidth_write",
"ScaleUnit": "1MB/s"
},
{
"BriefDescription": "Uops delivered from decoded instruction cache (decoded stream buffer or DSB) as a percent of total uops delivered to Instruction Decode Queue",
- "MetricExpr": "100 * ( IDQ.DSB_UOPS / UOPS_ISSUED.ANY )",
+ "MetricExpr": "100 * ( IDQ.DSB_UOPS / UOPS_ISSUED.ANY )",
"MetricGroup": "",
- "MetricName": "percent_uops_delivered_frodecoded_icache_dsb",
+ "MetricName": "percent_uops_delivered_from_decoded_icache_dsb",
"ScaleUnit": "1%"
},
{
"BriefDescription": "Uops delivered from legacy decode pipeline (Micro-instruction Translation Engine or MITE) as a percent of total uops delivered to Instruction Decode Queue",
- "MetricExpr": "100 * ( IDQ.MITE_UOPS / UOPS_ISSUED.ANY )",
+ "MetricExpr": "100 * ( IDQ.MITE_UOPS / UOPS_ISSUED.ANY )",
"MetricGroup": "",
- "MetricName": "percent_uops_delivered_frolegacy_decode_pipeline_mite",
+ "MetricName": "percent_uops_delivered_from_legacy_decode_pipeline_mite",
"ScaleUnit": "1%"
},
{
"BriefDescription": "Uops delivered from microcode sequencer (MS) as a percent of total uops delivered to Instruction Decode Queue",
- "MetricExpr": "100 * ( IDQ.MS_UOPS / UOPS_ISSUED.ANY )",
+ "MetricExpr": "100 * ( IDQ.MS_UOPS / UOPS_ISSUED.ANY )",
"MetricGroup": "",
- "MetricName": "percent_uops_delivered_fromicrocode_sequencer_ms",
+ "MetricName": "percent_uops_delivered_from_microcode_sequencer_ms",
"ScaleUnit": "1%"
},
{
"BriefDescription": "Uops delivered from loop stream detector(LSD) as a percent of total uops delivered to Instruction Decode Queue",
- "MetricExpr": "100 * ( UOPS_ISSUED.ANY - IDQ.MITE_UOPS - IDQ.MS_UOPS - IDQ.DSB_UOPS ) / UOPS_ISSUED.ANY ",
+ "MetricExpr": "100 * ( UOPS_ISSUED.ANY - IDQ.MITE_UOPS - IDQ.MS_UOPS - IDQ.DSB_UOPS ) / UOPS_ISSUED.ANY",
"MetricGroup": "",
- "MetricName": "percent_uops_delivered_froloop_streadetector_lsd",
+ "MetricName": "percent_uops_delivered_from_loop_stream_detector_lsd",
"ScaleUnit": "1%"
},
{
"BriefDescription": "Ratio of number of data read requests missing last level core cache (includes demand w/ prefetches) to the total number of completed instructions",
- "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x192@ ) / INST_RETIRED.ANY ",
+ "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x192@ ) / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "llc_data_read_mpi_demand_plus_prefetch",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Ratio of number of code read requests missing last level core cache (includes demand w/ prefetches) to the total number of completed instructions",
- "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x181@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x191@ ) / INST_RETIRED.ANY ",
+ "MetricExpr": "( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x181@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x191@ ) / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "llc_code_read_mpi_demand_plus_prefetch",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Memory read that miss the last level cache (LLC) addressed to local DRAM as a percentage of total memory read accesses, does not include LLC prefetches.",
- "MetricExpr": "100 * cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ / ( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ )",
+ "MetricExpr": "100 * cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ / ( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ )",
"MetricGroup": "",
"MetricName": "numa_percent_reads_addressed_to_local_dram",
"ScaleUnit": "1%"
},
{
"BriefDescription": "Memory reads that miss the last level cache (LLC) addressed to remote DRAM as a percentage of total memory read accesses, does not include LLC prefetches.",
- "MetricExpr": "100 * cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ / ( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ )",
+ "MetricExpr": "100 * cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ / ( cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ )",
"MetricGroup": "",
"MetricName": "numa_percent_reads_addressed_to_remote_dram",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound.",
- "MetricExpr": "100 * ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
- "MetricGroup": "TmaL1, PGO",
+ "MetricExpr": "100 * ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
+ "MetricGroup": "TmaL1;PGO",
"MetricName": "tma_frontend_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period.",
- "MetricExpr": "100 * ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
- "MetricGroup": "Frontend, TmaL2",
+ "MetricExpr": "100 * ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
+ "MetricGroup": "Frontend;TmaL2;m_tma_frontend_bound_percent",
"MetricName": "tma_fetch_latency_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
- "MetricExpr": "100 * ( ICACHE.IFDATA_STALL / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "BigFoot, FetchLat, IcMiss",
+ "MetricExpr": "100 * ( ICACHE.IFDATA_STALL / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TmaL3;m_tma_fetch_latency_percent",
"MetricName": "tma_icache_misses_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses.",
- "MetricExpr": "100 * ( ( 14 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION ) / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "BigFoot, FetchLat, MemoryTLB",
+ "MetricExpr": "100 * ( ( 14 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION ) / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TmaL3;m_tma_fetch_latency_percent",
"MetricName": "tma_itlb_misses_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings.",
- "MetricExpr": "100 * ( ( 12 ) * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "FetchLat",
+ "MetricExpr": "100 * ( ( 12 ) * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "FetchLat;TmaL3;m_tma_fetch_latency_percent",
"MetricName": "tma_branch_resteers_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty.",
- "MetricExpr": "100 * ( DSB2MITE_SWITCHES.PENALTY_CYCLES / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "DSBmiss, FetchLat",
+ "MetricExpr": "100 * ( DSB2MITE_SWITCHES.PENALTY_CYCLES / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "DSBmiss;FetchLat;TmaL3;m_tma_fetch_latency_percent",
"MetricName": "tma_dsb_switches_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs.",
- "MetricExpr": "100 * ( ILD_STALL.LCP / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "FetchLat",
+ "MetricExpr": "100 * ( ILD_STALL.LCP / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "FetchLat;TmaL3;m_tma_fetch_latency_percent",
"MetricName": "tma_lcp_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals.",
- "MetricExpr": "100 * ( ( 2 ) * IDQ.MS_SWITCHES / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "FetchLat, MicroSeq",
+ "MetricExpr": "100 * ( ( 2 ) * IDQ.MS_SWITCHES / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "FetchLat;MicroSeq;TmaL3;m_tma_fetch_latency_percent",
"MetricName": "tma_ms_switches_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend.",
- "MetricExpr": "100 * ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) - ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) )",
- "MetricGroup": "FetchBW, Frontend, TmaL2",
+ "MetricExpr": "100 * ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) - ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) )",
+ "MetricGroup": "FetchBW;Frontend;TmaL2;m_tma_frontend_bound_percent",
"MetricName": "tma_fetch_bandwidth_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck.",
- "MetricExpr": "100 * ( ( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) / 2 )",
- "MetricGroup": "DSBmiss, FetchBW",
+ "MetricExpr": "100 * ( ( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) / 2 )",
+ "MetricGroup": "DSBmiss;FetchBW;TmaL3;m_tma_fetch_bandwidth_percent",
"MetricName": "tma_mite_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here.",
- "MetricExpr": "100 * ( ( IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) / 2 )",
- "MetricGroup": "DSB, FetchBW",
+ "MetricExpr": "100 * ( ( IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) / 2 )",
+ "MetricGroup": "DSB;FetchBW;TmaL3;m_tma_fetch_bandwidth_percent",
"MetricName": "tma_dsb_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example.",
- "MetricExpr": "100 * ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
+ "MetricExpr": "100 * ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
"MetricGroup": "TmaL1",
"MetricName": "tma_bad_speculation_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path.",
- "MetricExpr": "100 * ( ( BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT ) ) * ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) )",
- "MetricGroup": "BadSpec, BrMispredicts, TmaL2",
+ "MetricExpr": "100 * ( ( BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT ) ) * ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) )",
+ "MetricGroup": "BadSpec;BrMispredicts;TmaL2;m_tma_bad_speculation_percent",
"MetricName": "tma_branch_mispredicts_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes.",
- "MetricExpr": "100 * ( ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) - ( ( BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT ) ) * ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) )",
- "MetricGroup": "BadSpec, MachineClears, TmaL2",
+ "MetricExpr": "100 * ( ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) - ( ( BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT ) ) * ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) )",
+ "MetricGroup": "BadSpec;MachineClears;TmaL2;m_tma_bad_speculation_percent",
"MetricName": "tma_machine_clears_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound.",
- "MetricExpr": "100 * ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) )",
+ "MetricExpr": "100 * ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) )",
"MetricGroup": "TmaL1",
"MetricName": "tma_backend_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two).",
- "MetricExpr": "100 * ( ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) + RESOURCE_STALLS.SB ) / ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) ) / 2 - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) if #SMT_on else ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) ) ) * ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) ) )",
- "MetricGroup": "Backend, TmaL2",
+ "MetricExpr": "100 * ( ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) + RESOURCE_STALLS.SB ) / ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) ) / 2 - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) if #SMT_on else ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) ) ) * ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) ) )",
+ "MetricGroup": "Backend;TmaL2;m_tma_backend_bound_percent",
"MetricName": "tma_memory_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache.",
- "MetricExpr": "100 * ( max( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) - CYCLE_ACTIVITY.STALLS_L1D_PENDING ) / ( CPU_CLK_UNHALTED.THREAD ) , 0 ) )",
- "MetricGroup": "CacheMisses, MemoryBound, TmaL3mem",
+ "MetricExpr": "100 * ( max( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) - CYCLE_ACTIVITY.STALLS_L1D_PENDING ) / ( CPU_CLK_UNHALTED.THREAD ) , 0 ) )",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TmaL3;m_tma_memory_bound_percent",
"MetricName": "tma_l1_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance.",
- "MetricExpr": "100 * ( ( CYCLE_ACTIVITY.STALLS_L1D_PENDING - CYCLE_ACTIVITY.STALLS_L2_PENDING ) / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "CacheMisses, MemoryBound, TmaL3mem",
+ "MetricExpr": "100 * ( ( CYCLE_ACTIVITY.STALLS_L1D_PENDING - CYCLE_ACTIVITY.STALLS_L2_PENDING ) / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TmaL3;m_tma_memory_bound_percent",
"MetricName": "tma_l2_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance.",
- "MetricExpr": "100 * ( ( MEM_LOAD_UOPS_RETIRED.L3_HIT / ( MEM_LOAD_UOPS_RETIRED.L3_HIT + ( 7 ) * MEM_LOAD_UOPS_RETIRED.L3_MISS ) ) * CYCLE_ACTIVITY.STALLS_L2_PENDING / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "CacheMisses, MemoryBound, TmaL3mem",
+ "MetricExpr": "100 * ( ( MEM_LOAD_UOPS_RETIRED.L3_HIT / ( MEM_LOAD_UOPS_RETIRED.L3_HIT + ( 7 ) * MEM_LOAD_UOPS_RETIRED.L3_MISS ) ) * CYCLE_ACTIVITY.STALLS_L2_PENDING / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TmaL3;m_tma_memory_bound_percent",
"MetricName": "tma_l3_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance.",
- "MetricExpr": "100 * ( min( ( ( 1 - ( MEM_LOAD_UOPS_RETIRED.L3_HIT / ( MEM_LOAD_UOPS_RETIRED.L3_HIT + ( 7 ) * MEM_LOAD_UOPS_RETIRED.L3_MISS ) ) ) * CYCLE_ACTIVITY.STALLS_L2_PENDING / ( CPU_CLK_UNHALTED.THREAD ) ) , ( 1 ) ) )",
- "MetricGroup": "MemoryBound, TmaL3mem",
- "MetricName": "tma_drabound_percent",
+ "MetricExpr": "100 * ( min( ( ( 1 - ( MEM_LOAD_UOPS_RETIRED.L3_HIT / ( MEM_LOAD_UOPS_RETIRED.L3_HIT + ( 7 ) * MEM_LOAD_UOPS_RETIRED.L3_MISS ) ) ) * CYCLE_ACTIVITY.STALLS_L2_PENDING / ( CPU_CLK_UNHALTED.THREAD ) ) , ( 1 ) ) )",
+ "MetricGroup": "MemoryBound;TmaL3mem;TmaL3;m_tma_memory_bound_percent",
+ "MetricName": "tma_dram_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck.",
- "MetricExpr": "100 * ( RESOURCE_STALLS.SB / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "MemoryBound, TmaL3mem",
+ "MetricExpr": "100 * ( RESOURCE_STALLS.SB / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "MemoryBound;TmaL3mem;TmaL3;m_tma_memory_bound_percent",
"MetricName": "tma_store_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations).",
- "MetricExpr": "100 * ( ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) ) - ( ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) + RESOURCE_STALLS.SB ) / ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) ) / 2 - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) if #SMT_on else ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) ) ) * ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) ) ) )",
- "MetricGroup": "Backend, TmaL2, Compute",
+ "MetricExpr": "100 * ( ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) ) - ( ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) + RESOURCE_STALLS.SB ) / ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) ) / 2 - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) if #SMT_on else ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) ) ) * ( 1 - ( ( IDQ_UOPS_NOT_DELIVERED.CORE / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_ISSUED.ANY - ( UOPS_RETIRED.RETIRE_SLOTS ) + ( 4 ) * ( ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) if #SMT_on else INT_MISC.RECOVERY_CYCLES ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) + ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) ) ) )",
+ "MetricGroup": "Backend;TmaL2;Compute;m_tma_backend_bound_percent",
"MetricName": "tma_core_bound_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication.",
- "MetricExpr": "100 * ( 10 * ARITH.DIVIDER_UOPS / ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) )",
- "MetricGroup": "",
+ "MetricExpr": "100 * ( 10 * ARITH.DIVIDER_UOPS / ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) )",
+ "MetricGroup": "TmaL3;m_tma_core_bound_percent",
"MetricName": "tma_divider_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations.",
- "MetricExpr": "100 * ( ( ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) ) / 2 - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) if #SMT_on else ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) ) - RESOURCE_STALLS.SB - ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) ) / ( CPU_CLK_UNHALTED.THREAD ) )",
- "MetricGroup": "PortsUtil",
+ "MetricExpr": "100 * ( ( ( ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) ) / 2 - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) if #SMT_on else ( ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.CYCLES_NO_EXECUTE ) ) + cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - ( cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ if ( ( INST_RETIRED.ANY / ( CPU_CLK_UNHALTED.THREAD ) ) > 1.8 ) else cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ ) - ( RS_EVENTS.EMPTY_CYCLES if ( ( ( 4 ) * ( min( CPU_CLK_UNHALTED.THREAD , IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE ) ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) > 0.1 ) else 0 ) + RESOURCE_STALLS.SB ) ) - RESOURCE_STALLS.SB - ( min( CPU_CLK_UNHALTED.THREAD , CYCLE_ACTIVITY.STALLS_LDM_PENDING ) ) ) / ( CPU_CLK_UNHALTED.THREAD ) )",
+ "MetricGroup": "PortsUtil;TmaL3;m_tma_core_bound_percent",
"MetricName": "tma_ports_utilization_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. ",
- "MetricExpr": "100 * ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
+ "MetricExpr": "100 * ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
"MetricGroup": "TmaL1",
"MetricName": "tma_retiring_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved.",
- "MetricExpr": "100 * ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) - ( ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / UOPS_ISSUED.ANY ) * IDQ.MS_UOPS / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) )",
- "MetricGroup": "Retire, TmaL2",
+ "MetricExpr": "100 * ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) - ( ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / UOPS_ISSUED.ANY ) * IDQ.MS_UOPS / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) ) )",
+ "MetricGroup": "Retire;TmaL2;m_tma_retiring_percent",
"MetricName": "tma_light_operations_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences.",
- "MetricExpr": "100 * ( ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / UOPS_ISSUED.ANY ) * IDQ.MS_UOPS / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) )",
- "MetricGroup": "Retire, TmaL2",
+ "MetricExpr": "100 * ( ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / UOPS_ISSUED.ANY ) * IDQ.MS_UOPS / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) ) )",
+ "MetricGroup": "Retire;TmaL2;m_tma_retiring_percent",
"MetricName": "tma_heavy_operations_percent",
"ScaleUnit": "1%"
},
{
"BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided.",
- "MetricExpr": "100 * ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / UOPS_ISSUED.ANY ) * IDQ.MS_UOPS / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
- "MetricGroup": "MicroSeq",
+ "MetricExpr": "100 * ( ( ( UOPS_RETIRED.RETIRE_SLOTS ) / UOPS_ISSUED.ANY ) * IDQ.MS_UOPS / ( ( 4 ) * ( ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else ( CPU_CLK_UNHALTED.THREAD ) ) ) )",
+ "MetricGroup": "MicroSeq;TmaL3;m_tma_heavy_operations_percent",
"MetricName": "tma_microcode_sequencer_percent",
"ScaleUnit": "1%"
}
diff --git a/tools/perf/pmu-events/arch/x86/haswellx/uncore-interconnect.json b/tools/perf/pmu-events/arch/x86/haswellx/uncore-interconnect.json
index 3e48ff3516b0..eb0a05fbb704 100644
--- a/tools/perf/pmu-events/arch/x86/haswellx/uncore-interconnect.json
+++ b/tools/perf/pmu-events/arch/x86/haswellx/uncore-interconnect.json
@@ -981,36 +981,34 @@
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of data flits transmitted . Derived from unc_q_txl_flits_g0.data",
+ "BriefDescription": "Flits Transferred - Group 0; Data Tx Flits",
"Counter": "0,1,2,3",
- "EventName": "QPI_DATA_BANDWIDTH_TX",
+ "EventName": "UNC_Q_TxL_FLITS_G0.DATA",
"PerPkg": "1",
- "ScaleUnit": "8Bytes",
"UMask": "0x2",
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of data flits transmitted ",
+ "BriefDescription": "Number of data flits transmitted . Derived from unc_q_txl_flits_g0.data",
"Counter": "0,1,2,3",
- "EventName": "UNC_Q_TxL_FLITS_G0.DATA",
+ "EventName": "QPI_DATA_BANDWIDTH_TX",
"PerPkg": "1",
"ScaleUnit": "8Bytes",
"UMask": "0x2",
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of non data (control) flits transmitted . Derived from unc_q_txl_flits_g0.non_data",
+ "BriefDescription": "Flits Transferred - Group 0; Non-Data protocol Tx Flits",
"Counter": "0,1,2,3",
- "EventName": "QPI_CTL_BANDWIDTH_TX",
+ "EventName": "UNC_Q_TxL_FLITS_G0.NON_DATA",
"PerPkg": "1",
- "ScaleUnit": "8Bytes",
"UMask": "0x4",
"Unit": "QPI LL"
},
{
- "BriefDescription": "Number of non data (control) flits transmitted ",
+ "BriefDescription": "Number of non data (control) flits transmitted . Derived from unc_q_txl_flits_g0.non_data",
"Counter": "0,1,2,3",
- "EventName": "UNC_Q_TxL_FLITS_G0.NON_DATA",
+ "EventName": "QPI_CTL_BANDWIDTH_TX",
"PerPkg": "1",
"ScaleUnit": "8Bytes",
"UMask": "0x4",
diff --git a/tools/perf/pmu-events/arch/x86/haswellx/uncore-memory.json b/tools/perf/pmu-events/arch/x86/haswellx/uncore-memory.json
index db3418db312e..c003daa9ed8c 100644
--- a/tools/perf/pmu-events/arch/x86/haswellx/uncore-memory.json
+++ b/tools/perf/pmu-events/arch/x86/haswellx/uncore-memory.json
@@ -72,20 +72,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
+ "BriefDescription": "DRAM RD_CAS and WR_CAS Commands.; All DRAM Reads (RD_CAS + Underfills)",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_READ",
+ "EventName": "UNC_M_CAS_COUNT.RD",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0x3",
"Unit": "iMC"
},
{
- "BriefDescription": "read requests to memory controller",
+ "BriefDescription": "read requests to memory controller. Derived from unc_m_cas_count.rd",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.RD",
+ "EventName": "LLC_MISSES.MEM_READ",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0x3",
@@ -110,20 +109,19 @@
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
+ "BriefDescription": "DRAM RD_CAS and WR_CAS Commands.; All DRAM WR_CAS (both Modes)",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "LLC_MISSES.MEM_WRITE",
+ "EventName": "UNC_M_CAS_COUNT.WR",
"PerPkg": "1",
- "ScaleUnit": "64Bytes",
"UMask": "0xC",
"Unit": "iMC"
},
{
- "BriefDescription": "write requests to memory controller",
+ "BriefDescription": "write requests to memory controller. Derived from unc_m_cas_count.wr",
"Counter": "0,1,2,3",
"EventCode": "0x4",
- "EventName": "UNC_M_CAS_COUNT.WR",
+ "EventName": "LLC_MISSES.MEM_WRITE",
"PerPkg": "1",
"ScaleUnit": "64Bytes",
"UMask": "0xC",
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 5fdf72e6befd..c3f38b3de89f 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -9,7 +9,7 @@ GenuineIntel-6-9[6C],v1.03,elkhartlake,core
GenuineIntel-6-5[CF],v13,goldmont,core
GenuineIntel-6-7A,v1.01,goldmontplus,core
GenuineIntel-6-(3C|45|46),v32,haswell,core
-GenuineIntel-6-3F,v25,haswellx,core
+GenuineIntel-6-3F,v26,haswellx,core
GenuineIntel-6-(7D|7E|A7),v1.14,icelake,core
GenuineIntel-6-6[AC],v1.15,icelakex,core
GenuineIntel-6-3A,v22,ivybridge,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 12/22] perf vendor events: Update Intel icelake
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (10 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 11/22] perf vendor events: Update Intel haswellx Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 13/22] perf vendor events: Update Intel icelakex Ian Rogers
` (10 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v1.15, the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- Addition of all 6 levels of TMA metrics. Previously metrics
involving topdown events were dropped. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../pmu-events/arch/x86/icelake/cache.json | 6 +-
.../arch/x86/icelake/icl-metrics.json | 725 ++++++++++++++++--
.../pmu-events/arch/x86/icelake/pipeline.json | 2 +-
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
4 files changed, 683 insertions(+), 52 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/icelake/cache.json b/tools/perf/pmu-events/arch/x86/icelake/cache.json
index b4f28f24ee63..0f6b918484d5 100644
--- a/tools/perf/pmu-events/arch/x86/icelake/cache.json
+++ b/tools/perf/pmu-events/arch/x86/icelake/cache.json
@@ -18,13 +18,13 @@
"EventCode": "0x48",
"EventName": "L1D_PEND_MISS.FB_FULL",
"PEBScounters": "0,1,2,3",
- "PublicDescription": "Counts number of cycles a demand request has waited due to L1D Fill Buffer (FB) unavailablability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
+ "PublicDescription": "Counts number of cycles a demand request has waited due to L1D Fill Buffer (FB) unavailability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
"SampleAfterValue": "1000003",
"Speculative": "1",
"UMask": "0x2"
},
{
- "BriefDescription": "Number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailablability.",
+ "BriefDescription": "Number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailability.",
"CollectPEBSRecord": "2",
"Counter": "0,1,2,3",
"CounterMask": "1",
@@ -32,7 +32,7 @@
"EventCode": "0x48",
"EventName": "L1D_PEND_MISS.FB_FULL_PERIODS",
"PEBScounters": "0,1,2,3",
- "PublicDescription": "Counts number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailablability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
+ "PublicDescription": "Counts number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
"SampleAfterValue": "1000003",
"Speculative": "1",
"UMask": "0x2"
diff --git a/tools/perf/pmu-events/arch/x86/icelake/icl-metrics.json b/tools/perf/pmu-events/arch/x86/icelake/icl-metrics.json
index f0356d66a927..74055003c06c 100644
--- a/tools/perf/pmu-events/arch/x86/icelake/icl-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/icelake/icl-metrics.json
@@ -1,26 +1,633 @@
[
+ {
+ "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
+ "MetricExpr": "topdown\\-fe\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "(5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "ICACHE_16B.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_64B.IFTAG_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT))) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "10 * BACLEARS.ANY / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "max(0, tma_frontend_bound - tma_fetch_latency)",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.MITE_CYCLES_ANY - IDQ.MITE_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where (only) 4 uops were delivered by the MITE pipeline",
+ "MetricExpr": "(cpu@IDQ.MITE_UOPS\\,cmask\\=4@ - cpu@IDQ.MITE_UOPS\\,cmask\\=5@) / CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_mite_4wide"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.DSB_CYCLES_ANY - IDQ.DSB_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit",
+ "MetricExpr": "(LSD.CYCLES_ACTIVE - LSD.CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "FetchBW;LSD;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_lsd",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit. LSD typically does well sustaining Uop supply. However; in some rare cases; optimal uop-delivery could not be reached for small loops whose size (in terms of number of uops) does not suit well the LSD structure."
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
+ "MetricExpr": "max(1 - (tma_frontend_bound + tma_backend_bound + tma_retiring), 0)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
+ "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "max(0, tma_bad_speculation - tma_branch_mispredicts)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
+ "MetricExpr": "topdown\\-be\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) + (5 * cpu@INT_MISC.RECOVERY_CYCLES\\,cmask\\=1\\,edge@) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
+ "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(7 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(16 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (10 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "L1D_PEND_MISS.FB_FULL / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) / ((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + L1D_PEND_MISS.FB_FULL_PERIODS)) * ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((29 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM + (23.5 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(23.5 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(9 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "L1D_PEND_MISS.L2_STALL / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 10 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(32.5 * Average_Frequency) * OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores",
+ "MetricExpr": "9 * OCR.STREAMING_WR.ANY_RESPONSE / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_streaming_stores",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should Streaming stores be a bottleneck. Sample with: OCR.STREAMING_WR.ANY_RESPONSE"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "max(0, tma_backend_bound - tma_memory_bound)",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ / CLKS + tma_serializing_operation * (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "RESOURCE_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: RESOURCE_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
+ "MetricExpr": "140 * MISC_RETIRED.PAUSE_INST / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_slow_pause",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: MISC_RETIRED.PAUSE_INST"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "CLKS * UOPS_ISSUED.VECTOR_WIDTH_MISMATCH / UOPS_ISSUED.ANY",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.1_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.2_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "UOPS_EXECUTED.CYCLES_GE_3 / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_0 + UOPS_DISPATCHED.PORT_1 + UOPS_DISPATCHED.PORT_5 + UOPS_DISPATCHED.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_2_3 / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_4_9 + UOPS_DISPATCHED.PORT_7_8) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
+ "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "max(0, tma_retiring - tma_heavy_operations)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_512b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_INST_RETIRED.ANY / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions.",
+ "MetricExpr": "tma_light_operations * BR_INST_RETIRED.ALL_BRANCHES / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_branch_instructions"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_memory_operations + tma_branch_instructions + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer + tma_retiring * (UOPS_DECODED.DEC0 - cpu@UOPS_DECODED.DEC0\\,cmask\\=1@) / IDQ.MITE_UOPS",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "((tma_retiring * SLOTS) / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * ASSISTS.ANY / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_fb_full / (tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
+ "MetricGroup": "Mem;MemoryBW;Offcore",
+ "MetricName": "Memory_Bandwidth"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)))",
+ "MetricGroup": "Mem;MemoryLat;Offcore",
+ "MetricName": "Memory_Latency"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency + tma_streaming_stores))) ",
+ "MetricGroup": "Mem;MemoryTLB;Offcore",
+ "MetricName": "Memory_Data_TLBs"
+ },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
{
"BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (( 5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING ) / TOPDOWN.SLOTS) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (ICACHE_16B.IFDATA_STALL / CPU_CLK_UNHALTED.THREAD) + (10 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(( 5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
"MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
"MetricName": "Big_Code"
},
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
+ "MetricGroup": "Fed;FetchBW;Frontend",
+ "MetricName": "Instruction_Fetch_BW"
+ },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
+ {
+ "BriefDescription": "Uops Per Instruction",
+ "MetricExpr": "(tma_retiring * SLOTS) / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;Ret;Retire",
+ "MetricName": "UPI"
+ },
+ {
+ "BriefDescription": "Instruction per taken branch",
+ "MetricExpr": "(tma_retiring * SLOTS) / BR_INST_RETIRED.NEAR_TAKEN",
+ "MetricGroup": "Branches;Fed;FetchBW",
+ "MetricName": "UpTB"
+ },
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -32,13 +639,13 @@
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
"MetricExpr": "TOPDOWN.SLOTS",
- "MetricGroup": "TmaL1",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
{
"BriefDescription": "Fraction of Physical Core issue-slots utilized by this Logical Processor",
- "MetricExpr": "TOPDOWN.SLOTS / ( TOPDOWN.SLOTS / 2 ) if #SMT_on else 1",
- "MetricGroup": "SMT;TmaL1",
+ "MetricExpr": "SLOTS / (TOPDOWN.SLOTS / 2) if #SMT_on else 1",
+ "MetricGroup": "SMT;tma_L1_group",
"MetricName": "Slots_Utilization"
},
{
@@ -50,29 +657,35 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
+ {
+ "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
+ "MetricGroup": "Cor;SMT",
+ "MetricName": "Core_Bound_Likely"
+ },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
"MetricExpr": "CPU_CLK_UNHALTED.DISTRIBUTED",
@@ -117,13 +730,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -144,21 +757,21 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX512",
"PublicDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -170,11 +783,17 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
+ {
+ "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
+ "MetricExpr": "(tma_retiring * SLOTS) / cpu@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
+ "MetricGroup": "Pipeline;Ret",
+ "MetricName": "Retire"
+ },
{
"BriefDescription": "",
"MetricExpr": "UOPS_EXECUTED.THREAD / cpu@UOPS_EXECUTED.THREAD\\,cmask\\=1@",
@@ -205,6 +824,12 @@
"MetricGroup": "DSBmiss",
"MetricName": "DSB_Switch_Cost"
},
+ {
+ "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_lsd + tma_mite))",
+ "MetricGroup": "DSBmiss;Fed",
+ "MetricName": "DSB_Misses"
+ },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -217,6 +842,12 @@
"MetricGroup": "Bad;BadSpec;BrMispredicts",
"MetricName": "IpMispredict"
},
+ {
+ "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricGroup": "Bad;BrMispredicts",
+ "MetricName": "Branch_Misprediction_Cost"
+ },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -231,7 +862,7 @@
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
@@ -243,74 +874,74 @@
},
{
"BriefDescription": "Fraction of branches of other types (not individually covered by other metrics in Info.Branches group)",
- "MetricExpr": "1 - ( (BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (BR_INST_RETIRED.COND_TAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES) + ((BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES) )",
+ "MetricExpr": "1 - (Cond_NT + Cond_TK + CallRet + Jump)",
"MetricGroup": "Bad;Branches",
"MetricName": "Other_Branches"
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( ( OFFCORE_REQUESTS.ALL_DATA_RD - OFFCORE_REQUESTS.DEMAND_DATA_RD ) + L2_RQSTS.ALL_DEMAND_MISS + L2_RQSTS.SWPF_MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricExpr": "1000 * ((OFFCORE_REQUESTS.ALL_DATA_RD - OFFCORE_REQUESTS.DEMAND_DATA_RD) + L2_RQSTS.ALL_DEMAND_MISS + L2_RQSTS.SWPF_MISS) / Instructions",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
@@ -340,25 +971,25 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -370,40 +1001,40 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License0_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes."
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License1_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions."
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX)",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License2_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions."
@@ -428,7 +1059,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
diff --git a/tools/perf/pmu-events/arch/x86/icelake/pipeline.json b/tools/perf/pmu-events/arch/x86/icelake/pipeline.json
index a017a4727050..c74a7369cff3 100644
--- a/tools/perf/pmu-events/arch/x86/icelake/pipeline.json
+++ b/tools/perf/pmu-events/arch/x86/icelake/pipeline.json
@@ -167,7 +167,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "number of branch instructions retired that were mispredicted and taken. Non PEBS",
+ "BriefDescription": "number of branch instructions retired that were mispredicted and taken.",
"CollectPEBSRecord": "2",
"Counter": "0,1,2,3,4,5,6,7",
"EventCode": "0xc5",
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index c3f38b3de89f..4a056e2a36d8 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -10,7 +10,7 @@ GenuineIntel-6-5[CF],v13,goldmont,core
GenuineIntel-6-7A,v1.01,goldmontplus,core
GenuineIntel-6-(3C|45|46),v32,haswell,core
GenuineIntel-6-3F,v26,haswellx,core
-GenuineIntel-6-(7D|7E|A7),v1.14,icelake,core
+GenuineIntel-6-(7D|7E|A7),v1.15,icelake,core
GenuineIntel-6-6[AC],v1.15,icelakex,core
GenuineIntel-6-3A,v22,ivybridge,core
GenuineIntel-6-3E,v21,ivytown,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 13/22] perf vendor events: Update Intel icelakex
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (11 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 12/22] perf vendor events: Update Intel icelake Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 14/22] perf vendor events: Update Intel ivybridge Ian Rogers
` (9 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v1.16 the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- Addition of all 6 levels of TMA metrics. Previously metrics
involving topdown events were dropped. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../pmu-events/arch/x86/icelakex/cache.json | 6 +-
.../arch/x86/icelakex/icx-metrics.json | 794 ++++++++++++++++--
.../arch/x86/icelakex/pipeline.json | 2 +-
.../arch/x86/icelakex/uncore-other.json | 2 +-
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
5 files changed, 729 insertions(+), 77 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/icelakex/cache.json b/tools/perf/pmu-events/arch/x86/icelakex/cache.json
index 775190bdd063..e4035b3e55ca 100644
--- a/tools/perf/pmu-events/arch/x86/icelakex/cache.json
+++ b/tools/perf/pmu-events/arch/x86/icelakex/cache.json
@@ -18,13 +18,13 @@
"EventCode": "0x48",
"EventName": "L1D_PEND_MISS.FB_FULL",
"PEBScounters": "0,1,2,3",
- "PublicDescription": "Counts number of cycles a demand request has waited due to L1D Fill Buffer (FB) unavailablability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
+ "PublicDescription": "Counts number of cycles a demand request has waited due to L1D Fill Buffer (FB) unavailability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
"SampleAfterValue": "1000003",
"Speculative": "1",
"UMask": "0x2"
},
{
- "BriefDescription": "Number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailablability.",
+ "BriefDescription": "Number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailability.",
"CollectPEBSRecord": "2",
"Counter": "0,1,2,3",
"CounterMask": "1",
@@ -32,7 +32,7 @@
"EventCode": "0x48",
"EventName": "L1D_PEND_MISS.FB_FULL_PERIODS",
"PEBScounters": "0,1,2,3",
- "PublicDescription": "Counts number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailablability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
+ "PublicDescription": "Counts number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
"SampleAfterValue": "1000003",
"Speculative": "1",
"UMask": "0x2"
diff --git a/tools/perf/pmu-events/arch/x86/icelakex/icx-metrics.json b/tools/perf/pmu-events/arch/x86/icelakex/icx-metrics.json
index e905458b34b8..c8c95eb2e1c7 100644
--- a/tools/perf/pmu-events/arch/x86/icelakex/icx-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/icelakex/icx-metrics.json
@@ -1,22 +1,650 @@
[
+ {
+ "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
+ "MetricExpr": "topdown\\-fe\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "(5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "ICACHE_16B.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_64B.IFTAG_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT))) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "10 * BACLEARS.ANY / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "max(0, tma_frontend_bound - tma_fetch_latency)",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.MITE_CYCLES_ANY - IDQ.MITE_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where (only) 4 uops were delivered by the MITE pipeline",
+ "MetricExpr": "(cpu@IDQ.MITE_UOPS\\,cmask\\=4@ - cpu@IDQ.MITE_UOPS\\,cmask\\=5@) / CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_mite_4wide"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.DSB_CYCLES_ANY - IDQ.DSB_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
+ "MetricExpr": "max(1 - (tma_frontend_bound + tma_backend_bound + tma_retiring), 0)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
+ "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "max(0, tma_bad_speculation - tma_branch_mispredicts)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
+ "MetricExpr": "topdown\\-be\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) + (5 * cpu@INT_MISC.RECOVERY_CYCLES\\,cmask\\=1\\,edge@) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
+ "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(7 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(16 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (10 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "L1D_PEND_MISS.FB_FULL / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) / ((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + L1D_PEND_MISS.FB_FULL_PERIODS)) * ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((44 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM * (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD))) + (43.5 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(43.5 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM * (1 - (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(19 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "L1D_PEND_MISS.L2_STALL / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound) - tma_pmm_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "(43.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "(108 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "((97 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM + (97 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates (based on idle latencies) how often the CPU was stalled on accesses to external 3D-Xpoint (Crystal Ridge, a.k.a",
+ "MetricExpr": "(((1 - ((19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 10 * ((MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))) / ((19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 10 * ((MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))) + (25 * (MEM_LOAD_RETIRED.LOCAL_PMM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 33 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))))) * (CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound)) if (1000000 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM) > MEM_LOAD_RETIRED.L1_MISS) else 0)",
+ "MetricGroup": "MemoryBound;Server;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_pmm_bound",
+ "PublicDescription": "This metric roughly estimates (based on idle latencies) how often the CPU was stalled on accesses to external 3D-Xpoint (Crystal Ridge, a.k.a. IXP) memory by loads, PMM stands for Persistent Memory Module. "
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 10 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(48 * Average_Frequency) * OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores",
+ "MetricExpr": "9 * OCR.STREAMING_WR.ANY_RESPONSE / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_streaming_stores",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should Streaming stores be a bottleneck. Sample with: OCR.STREAMING_WR.ANY_RESPONSE"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "max(0, tma_backend_bound - tma_memory_bound)",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ / CLKS + tma_serializing_operation * (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "RESOURCE_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: RESOURCE_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
+ "MetricExpr": "37 * MISC_RETIRED.PAUSE_INST / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_slow_pause",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: MISC_RETIRED.PAUSE_INST"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "CLKS * UOPS_ISSUED.VECTOR_WIDTH_MISMATCH / UOPS_ISSUED.ANY",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.1_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.2_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "UOPS_EXECUTED.CYCLES_GE_3 / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_0 + UOPS_DISPATCHED.PORT_1 + UOPS_DISPATCHED.PORT_5 + UOPS_DISPATCHED.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_2_3 / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_4_9 + UOPS_DISPATCHED.PORT_7_8) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
+ "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "max(0, tma_retiring - tma_heavy_operations)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_512b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_INST_RETIRED.ANY / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions.",
+ "MetricExpr": "tma_light_operations * BR_INST_RETIRED.ALL_BRANCHES / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_branch_instructions"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_memory_operations + tma_branch_instructions + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer + tma_retiring * (UOPS_DECODED.DEC0 - cpu@UOPS_DECODED.DEC0\\,cmask\\=1@) / IDQ.MITE_UOPS",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "((tma_retiring * SLOTS) / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * ASSISTS.ANY / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_fb_full / (tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
+ "MetricGroup": "Mem;MemoryBW;Offcore",
+ "MetricName": "Memory_Bandwidth"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)))",
+ "MetricGroup": "Mem;MemoryLat;Offcore",
+ "MetricName": "Memory_Latency"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency + tma_streaming_stores))) ",
+ "MetricGroup": "Mem;MemoryTLB;Offcore",
+ "MetricName": "Memory_Data_TLBs"
+ },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
{
"BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (( 5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING ) / TOPDOWN.SLOTS) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (ICACHE_16B.IFDATA_STALL / CPU_CLK_UNHALTED.THREAD) + (10 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(( 5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
"MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
"MetricName": "Big_Code"
},
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
+ "MetricGroup": "Fed;FetchBW;Frontend",
+ "MetricName": "Instruction_Fetch_BW"
+ },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
+ {
+ "BriefDescription": "Uops Per Instruction",
+ "MetricExpr": "(tma_retiring * SLOTS) / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;Ret;Retire",
+ "MetricName": "UPI"
+ },
+ {
+ "BriefDescription": "Instruction per taken branch",
+ "MetricExpr": "(tma_retiring * SLOTS) / BR_INST_RETIRED.NEAR_TAKEN",
+ "MetricGroup": "Branches;Fed;FetchBW",
+ "MetricName": "UpTB"
+ },
{
"BriefDescription": "Per-Logical Processor actual clocks when the Logical Processor is active.",
"MetricExpr": "CPU_CLK_UNHALTED.THREAD",
@@ -26,13 +654,13 @@
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
"MetricExpr": "TOPDOWN.SLOTS",
- "MetricGroup": "TmaL1",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
{
"BriefDescription": "Fraction of Physical Core issue-slots utilized by this Logical Processor",
- "MetricExpr": "TOPDOWN.SLOTS / ( TOPDOWN.SLOTS / 2 ) if #SMT_on else 1",
- "MetricGroup": "SMT;TmaL1",
+ "MetricExpr": "SLOTS / (TOPDOWN.SLOTS / 2) if #SMT_on else 1",
+ "MetricGroup": "SMT;tma_L1_group",
"MetricName": "Slots_Utilization"
},
{
@@ -44,29 +672,35 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
+ {
+ "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
+ "MetricGroup": "Cor;SMT",
+ "MetricName": "Core_Bound_Likely"
+ },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
"MetricExpr": "CPU_CLK_UNHALTED.DISTRIBUTED",
@@ -111,13 +745,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -138,21 +772,21 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX512",
"PublicDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -164,11 +798,17 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
+ {
+ "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
+ "MetricExpr": "(tma_retiring * SLOTS) / cpu@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
+ "MetricGroup": "Pipeline;Ret",
+ "MetricName": "Retire"
+ },
{
"BriefDescription": "",
"MetricExpr": "UOPS_EXECUTED.THREAD / cpu@UOPS_EXECUTED.THREAD\\,cmask\\=1@",
@@ -193,6 +833,12 @@
"MetricGroup": "DSBmiss",
"MetricName": "DSB_Switch_Cost"
},
+ {
+ "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_mite))",
+ "MetricGroup": "DSBmiss;Fed",
+ "MetricName": "DSB_Misses"
+ },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -205,6 +851,12 @@
"MetricGroup": "Bad;BadSpec;BrMispredicts",
"MetricName": "IpMispredict"
},
+ {
+ "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricGroup": "Bad;BrMispredicts",
+ "MetricName": "Branch_Misprediction_Cost"
+ },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -219,7 +871,7 @@
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
@@ -231,74 +883,74 @@
},
{
"BriefDescription": "Fraction of branches of other types (not individually covered by other metrics in Info.Branches group)",
- "MetricExpr": "1 - ( (BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (BR_INST_RETIRED.COND_TAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES) + ((BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES) )",
+ "MetricExpr": "1 - (Cond_NT + Cond_TK + CallRet + Jump)",
"MetricGroup": "Bad;Branches",
"MetricName": "Other_Branches"
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( ( OFFCORE_REQUESTS.ALL_DATA_RD - OFFCORE_REQUESTS.DEMAND_DATA_RD ) + L2_RQSTS.ALL_DEMAND_MISS + L2_RQSTS.SWPF_MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricExpr": "1000 * ((OFFCORE_REQUESTS.ALL_DATA_RD - OFFCORE_REQUESTS.DEMAND_DATA_RD) + L2_RQSTS.ALL_DEMAND_MISS + L2_RQSTS.SWPF_MISS) / Instructions",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
@@ -328,37 +980,37 @@
},
{
"BriefDescription": "Rate of silent evictions from the L2 cache per Kilo instruction where the evicted lines are dropped (no writeback to L3 or memory)",
- "MetricExpr": "1000 * L2_LINES_OUT.SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_Silent_PKI"
},
{
"BriefDescription": "Rate of non silent evictions from the L2 cache per Kilo instruction",
- "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_NonSilent_PKI"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -370,40 +1022,40 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License0_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes."
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License1_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions."
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX)",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License2_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions."
@@ -428,13 +1080,13 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
"BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD ) / ( cha_0@event\\=0x0@ / duration_time )",
+ "MetricExpr": "1000000000 * (UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD) / (Socket_CLKS / duration_time)",
"MetricGroup": "Mem;MemoryLat;SoC",
"MetricName": "MEM_Read_Latency"
},
@@ -446,38 +1098,38 @@
},
{
"BriefDescription": "Average latency of data read request to external 3D X-Point memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM ) / cha_0@event\\=0x0@ )",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": "(1000000000 * (UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM) / cha_0@event\\=0x0@)",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_PMM_Read_Latency"
},
{
"BriefDescription": "Average latency of data read request to external DRAM memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": " 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR ) / cha_0@event\\=0x0@",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": " 1000000000 * (UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR) / cha_0@event\\=0x0@",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_DRAM_Read_Latency"
},
{
"BriefDescription": "Average 3DXP Memory Bandwidth Use for reads [GB / sec]",
- "MetricExpr": "( ( 64 * imc@event\\=0xe3@ / 1000000000 ) / duration_time )",
- "MetricGroup": "Mem;MemoryBW;SoC;Server",
+ "MetricExpr": "((64 * imc@event\\=0xe3@ / 1000000000) / duration_time)",
+ "MetricGroup": "Mem;MemoryBW;Server;SoC",
"MetricName": "PMM_Read_BW"
},
{
"BriefDescription": "Average 3DXP Memory Bandwidth Use for Writes [GB / sec]",
- "MetricExpr": "( ( 64 * imc@event\\=0xe7@ / 1000000000 ) / duration_time )",
- "MetricGroup": "Mem;MemoryBW;SoC;Server",
+ "MetricExpr": "((64 * imc@event\\=0xe7@ / 1000000000) / duration_time)",
+ "MetricGroup": "Mem;MemoryBW;Server;SoC",
"MetricName": "PMM_Write_BW"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Writes [GB / sec]",
"MetricExpr": "UNC_CHA_TOR_INSERTS.IO_PCIRDCUR * 64 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Write_BW"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Reads [GB / sec]",
- "MetricExpr": "( UNC_CHA_TOR_INSERTS.IO_HIT_ITOM + UNC_CHA_TOR_INSERTS.IO_MISS_ITOM + UNC_CHA_TOR_INSERTS.IO_HIT_ITOMCACHENEAR + UNC_CHA_TOR_INSERTS.IO_MISS_ITOMCACHENEAR ) * 64 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricExpr": "(UNC_CHA_TOR_INSERTS.IO_HIT_ITOM + UNC_CHA_TOR_INSERTS.IO_MISS_ITOM + UNC_CHA_TOR_INSERTS.IO_HIT_ITOMCACHENEAR + UNC_CHA_TOR_INSERTS.IO_MISS_ITOMCACHENEAR) * 64 / 1000000000 / duration_time",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Read_BW"
},
{
@@ -486,12 +1138,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cha_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -522,6 +1168,12 @@
"MetricGroup": "Power",
"MetricName": "C6_Pkg_Residency"
},
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
+ },
{
"BriefDescription": "Percentage of time spent in the active CPU power state C0",
"MetricExpr": "100 * CPU_CLK_UNHALTED.REF_TSC / TSC",
@@ -615,42 +1267,42 @@
},
{
"BriefDescription": "Ratio of number of code read requests missing last level core cache (includes demand w/ prefetches) to the total number of completed instructions",
- "MetricExpr": "( UNC_CHA_TOR_INSERTS.IA_MISS_CRD ) / INST_RETIRED.ANY",
+ "MetricExpr": "( UNC_CHA_TOR_INSERTS.IA_MISS_CRD + UNC_CHA_TOR_INSERTS.IA_MISS_CRD_PREF ) / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "llc_code_read_mpi_demand_plus_prefetch",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_latency",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to local memory in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_LOCAL ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_LOCAL ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_latency_for_local_requests",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to remote memory in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_REMOTE ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_REMOTE ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_latency_for_remote_requests",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to Intel(R) Optane(TM) Persistent Memory(PMEM) in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_to_pmem_latency",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to DRAM in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_to_dram_latency",
"ScaleUnit": "1ns"
diff --git a/tools/perf/pmu-events/arch/x86/icelakex/pipeline.json b/tools/perf/pmu-events/arch/x86/icelakex/pipeline.json
index 396868f70004..52fba238bf1f 100644
--- a/tools/perf/pmu-events/arch/x86/icelakex/pipeline.json
+++ b/tools/perf/pmu-events/arch/x86/icelakex/pipeline.json
@@ -167,7 +167,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "number of branch instructions retired that were mispredicted and taken. Non PEBS",
+ "BriefDescription": "number of branch instructions retired that were mispredicted and taken.",
"CollectPEBSRecord": "2",
"Counter": "0,1,2,3,4,5,6,7",
"EventCode": "0xc5",
diff --git a/tools/perf/pmu-events/arch/x86/icelakex/uncore-other.json b/tools/perf/pmu-events/arch/x86/icelakex/uncore-other.json
index 7783aa2ef5d1..03e99b8aed93 100644
--- a/tools/perf/pmu-events/arch/x86/icelakex/uncore-other.json
+++ b/tools/perf/pmu-events/arch/x86/icelakex/uncore-other.json
@@ -11779,7 +11779,7 @@
"Unit": "M3UPI"
},
{
- "BriefDescription": "Flit Gen - Header 1 : Acumullate",
+ "BriefDescription": "Flit Gen - Header 1 : Accumulate",
"Counter": "0,1,2,3",
"CounterType": "PGMABLE",
"EventCode": "0x51",
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 4a056e2a36d8..87731b33f8d0 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -11,7 +11,7 @@ GenuineIntel-6-7A,v1.01,goldmontplus,core
GenuineIntel-6-(3C|45|46),v32,haswell,core
GenuineIntel-6-3F,v26,haswellx,core
GenuineIntel-6-(7D|7E|A7),v1.15,icelake,core
-GenuineIntel-6-6[AC],v1.15,icelakex,core
+GenuineIntel-6-6[AC],v1.16,icelakex,core
GenuineIntel-6-3A,v22,ivybridge,core
GenuineIntel-6-3E,v21,ivytown,core
GenuineIntel-6-2D,v21,jaketown,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 14/22] perf vendor events: Update Intel ivybridge
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (12 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 13/22] perf vendor events: Update Intel icelakex Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 15/22] perf vendor events: Update Intel ivytown Ian Rogers
` (8 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v22, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/ivybridge/ivb-metrics.json | 525 +++++++++++++++---
1 file changed, 437 insertions(+), 88 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/ivybridge/ivb-metrics.json b/tools/perf/pmu-events/arch/x86/ivybridge/ivb-metrics.json
index 3f48e75f8a86..c18298fc627b 100644
--- a/tools/perf/pmu-events/arch/x86/ivybridge/ivb-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/ivybridge/ivb-metrics.json
@@ -1,64 +1,437 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * min(CPU_CLK_UNHALTED.THREAD, IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+ "MetricExpr": "ICACHE.IFETCH_STALL / CLKS - tma_itlb_misses",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(12 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) + RESOURCE_STALLS.SB) / (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) - CYCLE_ACTIVITY.STALLS_L1D_PENDING) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(7 * DTLB_LOAD_MISSES.STLB_HIT + DTLB_LOAD_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "13 * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_PENDING - CYCLE_ACTIVITY.STALLS_L2_PENDING) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_RETIRED.LLC_MISS)) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.LLC_MISS))) + 43 * (MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.LLC_MISS)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.LLC_MISS))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "29 * (MEM_LOAD_UOPS_RETIRED.LLC_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.LLC_MISS))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_RETIRED.LLC_MISS))) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=6@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "60 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_HIT.HITM_OTHER_CORE / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * DTLB_STORE_MISSES.STLB_HIT + DTLB_STORE_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING)) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5) / (3 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS * FP_COMP_OPS_EXE.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -76,8 +449,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -88,16 +461,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -107,37 +474,25 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -179,15 +534,15 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "1 / ( ((FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) / UOPS_EXECUTED.THREAD) + ((FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) / UOPS_EXECUTED.THREAD) )",
+ "MetricExpr": "1 / (tma_fp_scalar + tma_fp_vector)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -204,7 +559,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -216,47 +571,41 @@
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.LLC_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION) / CORE_CLKS",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -277,19 +626,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -307,26 +656,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -344,7 +693,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 15/22] perf vendor events: Update Intel ivytown
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (13 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 14/22] perf vendor events: Update Intel ivybridge Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 16/22] perf vendor events: Update Intel jaketown Ian Rogers
` (7 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v22 the core metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../pmu-events/arch/x86/ivytown/cache.json | 4 +-
.../arch/x86/ivytown/floating-point.json | 2 +-
.../pmu-events/arch/x86/ivytown/frontend.json | 18 +-
.../arch/x86/ivytown/ivt-metrics.json | 558 +++++++++++++++---
.../arch/x86/ivytown/uncore-cache.json | 58 +-
.../arch/x86/ivytown/uncore-interconnect.json | 84 +--
.../arch/x86/ivytown/uncore-memory.json | 2 +-
.../arch/x86/ivytown/uncore-other.json | 6 +-
.../arch/x86/ivytown/uncore-power.json | 8 +-
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
10 files changed, 556 insertions(+), 186 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/cache.json b/tools/perf/pmu-events/arch/x86/ivytown/cache.json
index 27576d53b347..d95b98c83914 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/cache.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/cache.json
@@ -21,7 +21,7 @@
"UMask": "0x2"
},
{
- "BriefDescription": "L1D miss oustandings duration in cycles",
+ "BriefDescription": "L1D miss outstanding duration in cycles",
"Counter": "2",
"CounterHTOff": "2",
"EventCode": "0x48",
@@ -658,7 +658,7 @@
"UMask": "0x8"
},
{
- "BriefDescription": "Cacheable and noncachaeble code read requests",
+ "BriefDescription": "Cacheable and noncacheable code read requests",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0xB0",
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/floating-point.json b/tools/perf/pmu-events/arch/x86/ivytown/floating-point.json
index 4c2ac010cf55..88891cba54ec 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/floating-point.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/floating-point.json
@@ -91,7 +91,7 @@
"UMask": "0x20"
},
{
- "BriefDescription": "Number of FP Computational Uops Executed this cycle. The number of FADD, FSUB, FCOM, FMULs, integer MULsand IMULs, FDIVs, FPREMs, FSQRTS, integer DIVs, and IDIVs. This event does not distinguish an FADD used in the middle of a transcendental flow from a s",
+ "BriefDescription": "Number of FP Computational Uops Executed this cycle. The number of FADD, FSUB, FCOM, FMULs, integer MULs and IMULs, FDIVs, FPREMs, FSQRTS, integer DIVs, and IDIVs. This event does not distinguish an FADD used in the middle of a transcendental flow from a s",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x10",
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/frontend.json b/tools/perf/pmu-events/arch/x86/ivytown/frontend.json
index 2b1a82dd86ab..0a295c4e093d 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/frontend.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/frontend.json
@@ -176,41 +176,41 @@
"UMask": "0x4"
},
{
- "BriefDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
"EventCode": "0x79",
"EventName": "IDQ.MS_CYCLES",
- "PublicDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy.",
+ "PublicDescription": "Cycles when uops are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy.",
"SampleAfterValue": "2000003",
"UMask": "0x30"
},
{
- "BriefDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
"EventCode": "0x79",
"EventName": "IDQ.MS_DSB_CYCLES",
- "PublicDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy.",
+ "PublicDescription": "Cycles when uops initiated by Decode Stream Buffer (DSB) are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy.",
"SampleAfterValue": "2000003",
"UMask": "0x10"
},
{
- "BriefDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"CounterMask": "1",
"EdgeDetect": "1",
"EventCode": "0x79",
"EventName": "IDQ.MS_DSB_OCCUR",
- "PublicDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequenser (MS) is busy.",
+ "PublicDescription": "Deliveries to Instruction Decode Queue (IDQ) initiated by Decode Stream Buffer (DSB) while Microcode Sequencer (MS) is busy.",
"SampleAfterValue": "2000003",
"UMask": "0x10"
},
{
- "BriefDescription": "Uops initiated by Decode Stream Buffer (DSB) that are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops initiated by Decode Stream Buffer (DSB) that are being delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
@@ -220,7 +220,7 @@
"UMask": "0x10"
},
{
- "BriefDescription": "Uops initiated by MITE and delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops initiated by MITE and delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
@@ -242,7 +242,7 @@
"UMask": "0x30"
},
{
- "BriefDescription": "Uops delivered to Instruction Decode Queue (IDQ) while Microcode Sequenser (MS) is busy",
+ "BriefDescription": "Uops delivered to Instruction Decode Queue (IDQ) while Microcode Sequencer (MS) is busy",
"Counter": "0,1,2,3",
"CounterHTOff": "0,1,2,3,4,5,6,7",
"EventCode": "0x79",
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/ivt-metrics.json b/tools/perf/pmu-events/arch/x86/ivytown/ivt-metrics.json
index 19c7f3b41102..81eeada2ad90 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/ivt-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/ivt-metrics.json
@@ -1,64 +1,458 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * min(CPU_CLK_UNHALTED.THREAD, IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+ "MetricExpr": "ICACHE.IFETCH_STALL / CLKS - tma_itlb_misses",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(12 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) + RESOURCE_STALLS.SB) / (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING) - CYCLE_ACTIVITY.STALLS_L1D_PENDING) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(7 * DTLB_LOAD_MISSES.STLB_HIT + DTLB_LOAD_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "13 * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_PENDING - CYCLE_ACTIVITY.STALLS_L2_PENDING) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_RETIRED.LLC_MISS)) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD))) + 43 * (MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "41 * (MEM_LOAD_UOPS_RETIRED.LLC_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_RETIRED.LLC_MISS))) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=6@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "200 * (MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "310 * (MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD))) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "(200 * (MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD))) + 180 * (MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.LLC_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_LLC_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_LLC_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_LLC_MISS_RETIRED.REMOTE_FWD)))) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(200 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_MISS.REMOTE_HITM + 60 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_HIT.HITM_OTHER_CORE) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * DTLB_STORE_MISSES.STLB_HIT + DTLB_STORE_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_LDM_PENDING)) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_EXECUTE) - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5) / (3 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS * FP_COMP_OPS_EXE.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -76,8 +470,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -88,16 +482,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -107,37 +495,25 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -179,15 +555,15 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "1 / ( ((FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) / UOPS_EXECUTED.THREAD) + ((FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) / UOPS_EXECUTED.THREAD) )",
+ "MetricExpr": "1 / (tma_fp_scalar + tma_fp_vector)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -204,7 +580,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -216,47 +592,41 @@
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.LLC_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION) / CORE_CLKS",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -277,19 +647,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -307,26 +677,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -344,7 +714,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
@@ -354,12 +724,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cbox_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -407,5 +771,11 @@
"MetricExpr": "(cstate_pkg@c7\\-residency@ / msr@tsc@) * 100",
"MetricGroup": "Power",
"MetricName": "C7_Pkg_Residency"
+ },
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
}
]
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/uncore-cache.json b/tools/perf/pmu-events/arch/x86/ivytown/uncore-cache.json
index 93e07385eeec..c118ff54c30e 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/uncore-cache.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/uncore-cache.json
@@ -61,7 +61,7 @@
"EventCode": "0x34",
"EventName": "UNC_C_LLC_LOOKUP.WRITE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of times the LLC was accessed - this includes code, data, prefetches and hints coming from L2. This has numerous filters available. Note the non-standard filtering equation. This event will count requests that lookup the cache multiple times with multiple increments. One must ALWAYS set filter mask bit 0 and select a state or states to match. Otherwise, the event will count nothing. CBoGlCtrl[22:17] bits correspond to [M'FMESI] state.; Writeback transactions from L2 to the LLC This includes all write transactions -- both Cachable and UC.",
+ "PublicDescription": "Counts the number of times the LLC was accessed - this includes code, data, prefetches and hints coming from L2. This has numerous filters available. Note the non-standard filtering equation. This event will count requests that lookup the cache multiple times with multiple increments. One must ALWAYS set filter mask bit 0 and select a state or states to match. Otherwise, the event will count nothing. CBoGlCtrl[22:17] bits correspond to [M'FMESI] state.; Writeback transactions from L2 to the LLC This includes all write transactions -- both Cacheable and UC.",
"UMask": "0x5",
"Unit": "CBO"
},
@@ -999,7 +999,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.ALL",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions inserted into the TOR. This includes requests that reside in the TOR for a short time, such as LLC Hits that do not need to snoop cores or requests that get rejected and have to be retried through one of the ingress queues. The TOR is more commonly a bottleneck in skews with smaller core counts, where the ratio of RTIDs to TOR entries is larger. Note that there are reserved TOR entries for various request types, so it is possible that a given request type be blocked with an occupancy that is less than 20. Also note that generally requests will not be able to arbitrate into the TOR pipeline if there are no available TOR slots.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions inserted into the TOR. This includes requests that reside in the TOR for a short time, such as LLC Hits that do not need to snoop cores or requests that get rejected and have to be retried through one of the ingress queues. The TOR is more commonly a bottleneck in skews with smaller core counts, where the ratio of RTIDs to TOR entries is larger. Note that there are reserved TOR entries for various request types, so it is possible that a given request type be blocked with an occupancy that is less than 20. Also note that generally requests will not be able to arbitrate into the TOR pipeline if there are no available TOR slots.",
"UMask": "0x8",
"Unit": "CBO"
},
@@ -1009,7 +1009,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.EVICTION",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Eviction transactions inserted into the TOR. Evictions can be quick, such as when the line is in the F, S, or E states and no core valid bits are set. They can also be longer if either CV bits are set (so the cores need to be snooped) and/or if there is a HitM (in which case it is necessary to write the request out to memory).",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Eviction transactions inserted into the TOR. Evictions can be quick, such as when the line is in the F, S, or E states and no core valid bits are set. They can also be longer if either CV bits are set (so the cores need to be snooped) and/or if there is a HitM (in which case it is necessary to write the request out to memory).",
"UMask": "0x4",
"Unit": "CBO"
},
@@ -1019,7 +1019,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.LOCAL",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions inserted into the TOR that are satisifed by locally HOMed memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions inserted into the TOR that are satisfied by locally HOMed memory.",
"UMask": "0x28",
"Unit": "CBO"
},
@@ -1029,7 +1029,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.LOCAL_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions, satisifed by an opcode, inserted into the TOR that are satisifed by locally HOMed memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions, satisfied by an opcode, inserted into the TOR that are satisfied by locally HOMed memory.",
"UMask": "0x21",
"Unit": "CBO"
},
@@ -1039,7 +1039,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.MISS_LOCAL",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that are satisifed by locally HOMed memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that are satisfied by locally HOMed memory.",
"UMask": "0x2A",
"Unit": "CBO"
},
@@ -1049,7 +1049,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions, satisifed by an opcode, inserted into the TOR that are satisifed by locally HOMed memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions, satisfied by an opcode, inserted into the TOR that are satisfied by locally HOMed memory.",
"UMask": "0x23",
"Unit": "CBO"
},
@@ -1059,7 +1059,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.MISS_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
"UMask": "0x3",
"Unit": "CBO"
},
@@ -1069,7 +1069,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.MISS_REMOTE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that are satisifed by remote caches or remote memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that are satisfied by remote caches or remote memory.",
"UMask": "0x8A",
"Unit": "CBO"
},
@@ -1079,7 +1079,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions, satisifed by an opcode, inserted into the TOR that are satisifed by remote caches or remote memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions, satisfied by an opcode, inserted into the TOR that are satisfied by remote caches or remote memory.",
"UMask": "0x83",
"Unit": "CBO"
},
@@ -1089,7 +1089,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.NID_ALL",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All NID matched (matches an RTID destination) transactions inserted into the TOR. The NID is programmed in Cn_MSR_PMON_BOX_FILTER.nid. In conjunction with STATE = I, it is possible to monitor misses to specific NIDs in the system.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All NID matched (matches an RTID destination) transactions inserted into the TOR. The NID is programmed in Cn_MSR_PMON_BOX_FILTER.nid. In conjunction with STATE = I, it is possible to monitor misses to specific NIDs in the system.",
"UMask": "0x48",
"Unit": "CBO"
},
@@ -1099,7 +1099,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.NID_EVICTION",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; NID matched eviction transactions inserted into the TOR.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; NID matched eviction transactions inserted into the TOR.",
"UMask": "0x44",
"Unit": "CBO"
},
@@ -1109,7 +1109,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.NID_MISS_ALL",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All NID matched miss requests that were inserted into the TOR.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All NID matched miss requests that were inserted into the TOR.",
"UMask": "0x4A",
"Unit": "CBO"
},
@@ -1119,7 +1119,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.NID_MISS_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that match a NID and an opcode.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Miss transactions inserted into the TOR that match a NID and an opcode.",
"UMask": "0x43",
"Unit": "CBO"
},
@@ -1129,7 +1129,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.NID_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Transactions inserted into the TOR that match a NID and an opcode.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Transactions inserted into the TOR that match a NID and an opcode.",
"UMask": "0x41",
"Unit": "CBO"
},
@@ -1139,7 +1139,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.NID_WB",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; NID matched write transactions inserted into the TOR.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; NID matched write transactions inserted into the TOR.",
"UMask": "0x50",
"Unit": "CBO"
},
@@ -1149,7 +1149,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
"UMask": "0x1",
"Unit": "CBO"
},
@@ -1159,7 +1159,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.REMOTE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions inserted into the TOR that are satisifed by remote caches or remote memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions inserted into the TOR that are satisfied by remote caches or remote memory.",
"UMask": "0x88",
"Unit": "CBO"
},
@@ -1169,7 +1169,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.REMOTE_OPCODE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions, satisifed by an opcode, inserted into the TOR that are satisifed by remote caches or remote memory.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; All transactions, satisfied by an opcode, inserted into the TOR that are satisfied by remote caches or remote memory.",
"UMask": "0x81",
"Unit": "CBO"
},
@@ -1179,7 +1179,7 @@
"EventCode": "0x35",
"EventName": "UNC_C_TOR_INSERTS.WB",
"PerPkg": "1",
- "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Write transactions inserted into the TOR. This does not include RFO, but actual operations that contain data being sent from the core.",
+ "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182).; Write transactions inserted into the TOR. This does not include RFO, but actual operations that contain data being sent from the core.",
"UMask": "0x10",
"Unit": "CBO"
},
@@ -1215,7 +1215,7 @@
"EventCode": "0x36",
"EventName": "UNC_C_TOR_OCCUPANCY.LOCAL_OPCODE",
"PerPkg": "1",
- "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding transactions, satisifed by an opcode, in the TOR that are satisifed by locally HOMed memory.",
+ "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding transactions, satisfied by an opcode, in the TOR that are satisfied by locally HOMed memory.",
"UMask": "0x21",
"Unit": "CBO"
},
@@ -1242,7 +1242,7 @@
"EventCode": "0x36",
"EventName": "UNC_C_TOR_OCCUPANCY.MISS_LOCAL_OPCODE",
"PerPkg": "1",
- "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding Miss transactions, satisifed by an opcode, in the TOR that are satisifed by locally HOMed memory.",
+ "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding Miss transactions, satisfied by an opcode, in the TOR that are satisfied by locally HOMed memory.",
"UMask": "0x23",
"Unit": "CBO"
},
@@ -1269,7 +1269,7 @@
"EventCode": "0x36",
"EventName": "UNC_C_TOR_OCCUPANCY.MISS_REMOTE_OPCODE",
"PerPkg": "1",
- "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding Miss transactions, satisifed by an opcode, in the TOR that are satisifed by remote caches or remote memory.",
+ "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding Miss transactions, satisfied by an opcode, in the TOR that are satisfied by remote caches or remote memory.",
"UMask": "0x83",
"Unit": "CBO"
},
@@ -1350,7 +1350,7 @@
"EventCode": "0x36",
"EventName": "UNC_C_TOR_OCCUPANCY.REMOTE_OPCODE",
"PerPkg": "1",
- "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding transactions, satisifed by an opcode, in the TOR that are satisifed by remote caches or remote memory.",
+ "PublicDescription": "For each cycle, this event accumulates the number of valid entries in the TOR that match qualifications specified by the subevent. There are a number of subevent 'filters' but only a subset of the subevent combinations are valid. Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set. If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc to DRD (0x182); Number of outstanding transactions, satisfied by an opcode, in the TOR that are satisfied by remote caches or remote memory.",
"UMask": "0x81",
"Unit": "CBO"
},
@@ -1446,7 +1446,7 @@
"EventCode": "0x2",
"EventName": "UNC_C_TxR_INSERTS.BL_CORE",
"PerPkg": "1",
- "PublicDescription": "Number of allocations into the Cbo Egress. The Egress is used to queue up requests destined for the ring.; Ring transactions from the Corebo destined for the BL ring. This is commonly used for transfering writeback data to the cache.",
+ "PublicDescription": "Number of allocations into the Cbo Egress. The Egress is used to queue up requests destined for the ring.; Ring transactions from the Corebo destined for the BL ring. This is commonly used for transferring writeback data to the cache.",
"UMask": "0x40",
"Unit": "CBO"
},
@@ -1692,7 +1692,7 @@
"EventCode": "0xb",
"EventName": "UNC_H_CONFLICT_CYCLES.LAST",
"PerPkg": "1",
- "PublicDescription": "Count every last conflictor in conflict chain. Can be used to compute the average conflict chain length as (#Ackcnflts/#LastConflictor)+1. This can be used to give a feel for the conflict chain lenghts while analyzing lock kernels.",
+ "PublicDescription": "Count every last conflictor in conflict chain. Can be used to compute the average conflict chain length as (#Ackcnflts/#LastConflictor)+1. This can be used to give a feel for the conflict chain lengths while analyzing lock kernels.",
"UMask": "0x4",
"Unit": "HA"
},
@@ -1729,7 +1729,7 @@
"EventCode": "0x41",
"EventName": "UNC_H_DIRECTORY_LAT_OPT",
"PerPkg": "1",
- "PublicDescription": "Directory Latency Optimization Data Return Path Taken. When directory mode is enabled and the directory retuned for a read is Dir=I, then data can be returned using a faster path if certain conditions are met (credits, free pipeline, etc).",
+ "PublicDescription": "Directory Latency Optimization Data Return Path Taken. When directory mode is enabled and the directory returned for a read is Dir=I, then data can be returned using a faster path if certain conditions are met (credits, free pipeline, etc).",
"Unit": "HA"
},
{
@@ -2686,7 +2686,7 @@
"EventCode": "0x21",
"EventName": "UNC_H_SNOOP_RESP.RSPSFWD",
"PerPkg": "1",
- "PublicDescription": "Counts the total number of RspI snoop responses received. Whenever a snoops are issued, one or more snoop responses will be returned depending on the topology of the system. In systems larger than 2s, when multiple snoops are returned this will count all the snoops that are received. For example, if 3 snoops were issued and returned RspI, RspS, and RspSFwd; then each of these sub-events would increment by 1.; Filters for a snoop response of RspSFwd. This is returned when a remote caching agent forwards data but holds on to its currentl copy. This is common for data and code reads that hit in a remote socket in E or F state.",
+ "PublicDescription": "Counts the total number of RspI snoop responses received. Whenever a snoops are issued, one or more snoop responses will be returned depending on the topology of the system. In systems larger than 2s, when multiple snoops are returned this will count all the snoops that are received. For example, if 3 snoops were issued and returned RspI, RspS, and RspSFwd; then each of these sub-events would increment by 1.; Filters for a snoop response of RspSFwd. This is returned when a remote caching agent forwards data but holds on to its currently copy. This is common for data and code reads that hit in a remote socket in E or F state.",
"UMask": "0x8",
"Unit": "HA"
},
@@ -2766,7 +2766,7 @@
"EventCode": "0x60",
"EventName": "UNC_H_SNP_RESP_RECV_LOCAL.RSPSFWD",
"PerPkg": "1",
- "PublicDescription": "Number of snoop responses received for a Local request; Filters for a snoop response of RspSFwd. This is returned when a remote caching agent forwards data but holds on to its currentl copy. This is common for data and code reads that hit in a remote socket in E or F state.",
+ "PublicDescription": "Number of snoop responses received for a Local request; Filters for a snoop response of RspSFwd. This is returned when a remote caching agent forwards data but holds on to its currently copy. This is common for data and code reads that hit in a remote socket in E or F state.",
"UMask": "0x8",
"Unit": "HA"
},
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/uncore-interconnect.json b/tools/perf/pmu-events/arch/x86/ivytown/uncore-interconnect.json
index b3b1a08d4acf..10ea4afeffc1 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/uncore-interconnect.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/uncore-interconnect.json
@@ -24,7 +24,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_CREDITS",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because there were not enough Egress credits. Had there been enough credits, the spawn would have worked as the RBT bit was set and the RBT tag matched.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because there were not enough Egress credits. Had there been enough credits, the spawn would have worked as the RBT bit was set and the RBT tag matched.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -34,7 +34,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_CREDITS_MISS",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match and there weren't enough Egress credits. The valid bit was set.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match and there weren't enough Egress credits. The valid bit was set.",
"UMask": "0x20",
"Unit": "QPI LL"
},
@@ -44,7 +44,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_CREDITS_RBT",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because there were not enough Egress credits AND the RBT bit was not set, but the RBT tag matched.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because there were not enough Egress credits AND the RBT bit was not set, but the RBT tag matched.",
"UMask": "0x8",
"Unit": "QPI LL"
},
@@ -54,7 +54,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_CREDITS_RBT_MISS",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match, the valid bit was not set and there weren't enough Egress credits.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match, the valid bit was not set and there weren't enough Egress credits.",
"UMask": "0x80",
"Unit": "QPI LL"
},
@@ -64,7 +64,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_MISS",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match although the valid bit was set and there were enough Egress credits.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match although the valid bit was set and there were enough Egress credits.",
"UMask": "0x10",
"Unit": "QPI LL"
},
@@ -74,7 +74,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_RBT_HIT",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the route-back table (RBT) specified that the transaction should not trigger a direct2core tranaction. This is common for IO transactions. There were enough Egress credits and the RBT tag matched but the valid bit was not set.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the route-back table (RBT) specified that the transaction should not trigger a direct2core transaction. This is common for IO transactions. There were enough Egress credits and the RBT tag matched but the valid bit was not set.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -84,7 +84,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.FAILURE_RBT_MISS",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match and the valid bit was not set although there were enough Egress credits.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn failed because the RBT tag did not match and the valid bit was not set although there were enough Egress credits.",
"UMask": "0x40",
"Unit": "QPI LL"
},
@@ -94,7 +94,7 @@
"EventCode": "0x13",
"EventName": "UNC_Q_DIRECT2CORE.SUCCESS_RBT_HIT",
"PerPkg": "1",
- "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exlusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn was successful. There were sufficient credits, the RBT valid bit was set and there was an RBT tag match. The message was marked to spawn direct2core.",
+ "PublicDescription": "Counts the number of DRS packets that we attempted to do direct2core on. There are 4 mutually exclusive filters. Filter [0] can be used to get successful spawns, while [1:3] provide the different failure cases. Note that this does not count packets that are not candidates for Direct2Core. The only candidates for Direct2Core are DRS packets destined for Cbos.; The spawn was successful. There were sufficient credits, the RBT valid bit was set and there was an RBT tag match. The message was marked to spawn direct2core.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -131,7 +131,7 @@
"EventCode": "0x9",
"EventName": "UNC_Q_RxL_BYPASSED",
"PerPkg": "1",
- "PublicDescription": "Counts the number of times that an incoming flit was able to bypass the flit buffer and pass directly across the BGF and into the Egress. This is a latency optimization, and should generally be the common case. If this value is less than the number of flits transfered, it implies that there was queueing getting onto the ring, and thus the transactions saw higher latency.",
+ "PublicDescription": "Counts the number of times that an incoming flit was able to bypass the flit buffer and pass directly across the BGF and into the Egress. This is a latency optimization, and should generally be the common case. If this value is less than the number of flits transferred, it implies that there was queueing getting onto the ring, and thus the transactions saw higher latency.",
"Unit": "QPI LL"
},
{
@@ -443,7 +443,7 @@
"EventCode": "0x1",
"EventName": "UNC_Q_RxL_FLITS_G0.DATA",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flitsreceived over QPI. Each flit contains 64b of data. This includes both DRS and NCB data flits (coherent and non-coherent). This can be used to calculate the data bandwidth of the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This does not include the header flits that go in data packets.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits received over QPI. Each flit contains 64b of data. This includes both DRS and NCB data flits (coherent and non-coherent). This can be used to calculate the data bandwidth of the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This does not include the header flits that go in data packets.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -453,7 +453,7 @@
"EventCode": "0x1",
"EventName": "UNC_Q_RxL_FLITS_G0.IDLE",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of flits received over QPI that do not hold protocol payload. When QPI is not in a power saving state, it continuously transmits flits across the link. When there are no protocol flits to send, it will send IDLE and NULL flits across. These flits sometimes do carry a payload, such as credit returns, but are generall not considered part of the QPI bandwidth.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of flits received over QPI that do not hold protocol payload. When QPI is not in a power saving state, it continuously transmits flits across the link. When there are no protocol flits to send, it will send IDLE and NULL flits across. These flits sometimes do carry a payload, such as credit returns, but are generally not considered part of the QPI bandwidth.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -463,7 +463,7 @@
"EventCode": "0x1",
"EventName": "UNC_Q_RxL_FLITS_G0.NON_DATA",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits received across QPI. This basically tracks the protocol overhead on the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This includes the header flits for data packets.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits received across QPI. This basically tracks the protocol overhead on the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This includes the header flits for data packets.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -474,7 +474,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.DRS",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits received over the NCB channel which transmits non-coherent data.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits received over the NCB channel which transmits non-coherent data.",
"UMask": "0x18",
"Unit": "QPI LL"
},
@@ -485,7 +485,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.DRS_DATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits received over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits received over the NCB channel which transmits non-coherent data. This includes only the data flits (not the header).",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits received over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits received over the NCB channel which transmits non-coherent data. This includes only the data flits (not the header).",
"UMask": "0x8",
"Unit": "QPI LL"
},
@@ -496,7 +496,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.DRS_NONDATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits received over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits received over the NCB channel which transmits non-coherent data. This includes only the header flits (not the data). This includes extended headers.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits received over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits received over the NCB channel which transmits non-coherent data. This includes only the header flits (not the data). This includes extended headers.",
"UMask": "0x10",
"Unit": "QPI LL"
},
@@ -507,7 +507,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.HOM",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits received over QPI on the home channel.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits received over QPI on the home channel.",
"UMask": "0x6",
"Unit": "QPI LL"
},
@@ -518,7 +518,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.HOM_NONREQ",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits received over QPI on the home channel. These are most commonly snoop responses, and this event can be used as a proxy for that.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits received over QPI on the home channel. These are most commonly snoop responses, and this event can be used as a proxy for that.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -529,7 +529,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.HOM_REQ",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request received over QPI on the home channel. This basically counts the number of remote memory requests received over QPI. In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request received over QPI on the home channel. This basically counts the number of remote memory requests received over QPI. In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -540,7 +540,7 @@
"EventName": "UNC_Q_RxL_FLITS_G1.SNP",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits received over QPI. These requests are contained in the snoop channel. This does not include snoop responses, which are received on the home channel.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits received over QPI. These requests are contained in the snoop channel. This does not include snoop responses, which are received on the home channel.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -551,7 +551,7 @@
"EventName": "UNC_Q_RxL_FLITS_G2.NCB",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits. These packets are generally used to transmit non-coherent data across QPI.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits. These packets are generally used to transmit non-coherent data across QPI.",
"UMask": "0xC",
"Unit": "QPI LL"
},
@@ -562,7 +562,7 @@
"EventName": "UNC_Q_RxL_FLITS_G2.NCB_DATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits. These flits are generally used to transmit non-coherent data across QPI. This does not include a count of the DRS (coherent) data flits. This only counts the data flits, not the NCB headers.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits. These flits are generally used to transmit non-coherent data across QPI. This does not include a count of the DRS (coherent) data flits. This only counts the data flits, not the NCB headers.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -573,7 +573,7 @@
"EventName": "UNC_Q_RxL_FLITS_G2.NCB_NONDATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits. These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits. This includes extended headers.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits. These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits. This includes extended headers.",
"UMask": "0x8",
"Unit": "QPI LL"
},
@@ -584,7 +584,7 @@
"EventName": "UNC_Q_RxL_FLITS_G2.NCS",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits received over QPI. This includes extended headers.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits received over QPI. This includes extended headers.",
"UMask": "0x10",
"Unit": "QPI LL"
},
@@ -595,7 +595,7 @@
"EventName": "UNC_Q_RxL_FLITS_G2.NDR_AD",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets to the local socket which use the AK ring.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets to the local socket which use the AK ring.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -606,7 +606,7 @@
"EventName": "UNC_Q_RxL_FLITS_G2.NDR_AK",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets destined for Route-thru to a remote socket.",
+ "PublicDescription": "Counts the number of flits received from the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets destined for Route-thru to a remote socket.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -1227,7 +1227,7 @@
"Counter": "0,1,2,3",
"EventName": "UNC_Q_TxL_FLITS_G0.DATA",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits transmitted across the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits transmitted over QPI. Each flit contains 64b of data. This includes both DRS and NCB data flits (coherent and non-coherent). This can be used to calculate the data bandwidth of the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This does not include the header flits that go in data packets.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits transmitted over QPI. Each flit contains 64b of data. This includes both DRS and NCB data flits (coherent and non-coherent). This can be used to calculate the data bandwidth of the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This does not include the header flits that go in data packets.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -1236,7 +1236,7 @@
"Counter": "0,1,2,3",
"EventName": "UNC_Q_TxL_FLITS_G0.NON_DATA",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits transmitted across the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits transmitted across QPI. This basically tracks the protocol overhead on the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This includes the header flits for data packets.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. It includes filters for Idle, protocol, and Data Flits. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits transmitted across QPI. This basically tracks the protocol overhead on the QPI link. One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits. This includes the header flits for data packets.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -1246,7 +1246,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.DRS",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency.",
"UMask": "0x18",
"Unit": "QPI LL"
},
@@ -1256,7 +1256,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.DRS_DATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits transmitted over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits transmitted over the NCB channel which transmits non-coherent data. This includes only the data flits (not the header).",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits transmitted over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits transmitted over the NCB channel which transmits non-coherent data. This includes only the data flits (not the header).",
"UMask": "0x8",
"Unit": "QPI LL"
},
@@ -1266,7 +1266,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.DRS_NONDATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits transmitted over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits transmitted over the NCB channel which transmits non-coherent data. This includes only the header flits (not the data). This includes extended headers.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits transmitted over QPI on the DRS (Data Response) channel. DRS flits are used to transmit data with coherency. This does not count data flits transmitted over the NCB channel which transmits non-coherent data. This includes only the header flits (not the data). This includes extended headers.",
"UMask": "0x10",
"Unit": "QPI LL"
},
@@ -1276,7 +1276,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.HOM",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits transmitted over QPI on the home channel.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits transmitted over QPI on the home channel.",
"UMask": "0x6",
"Unit": "QPI LL"
},
@@ -1286,7 +1286,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.HOM_NONREQ",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits transmitted over QPI on the home channel. These are most commonly snoop responses, and this event can be used as a proxy for that.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits transmitted over QPI on the home channel. These are most commonly snoop responses, and this event can be used as a proxy for that.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -1296,7 +1296,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.HOM_REQ",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request transmitted over QPI on the home channel. This basically counts the number of remote memory requests transmitted over QPI. In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request transmitted over QPI on the home channel. This basically counts the number of remote memory requests transmitted over QPI. In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -1306,7 +1306,7 @@
"EventName": "UNC_Q_TxL_FLITS_G1.SNP",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits transmitted over QPI. These requests are contained in the snoop channel. This does not include snoop responses, which are transmitted on the home channel.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for SNP, HOM, and DRS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits transmitted over QPI. These requests are contained in the snoop channel. This does not include snoop responses, which are transmitted on the home channel.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -1317,7 +1317,7 @@
"EventName": "UNC_Q_TxL_FLITS_G2.NCB",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits. These packets are generally used to transmit non-coherent data across QPI.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits. These packets are generally used to transmit non-coherent data across QPI.",
"UMask": "0xC",
"Unit": "QPI LL"
},
@@ -1328,7 +1328,7 @@
"EventName": "UNC_Q_TxL_FLITS_G2.NCB_DATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits. These flits are generally used to transmit non-coherent data across QPI. This does not include a count of the DRS (coherent) data flits. This only counts the data flits, not te NCB headers.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits. These flits are generally used to transmit non-coherent data across QPI. This does not include a count of the DRS (coherent) data flits. This only counts the data flits, not the NCB headers.",
"UMask": "0x4",
"Unit": "QPI LL"
},
@@ -1339,7 +1339,7 @@
"EventName": "UNC_Q_TxL_FLITS_G2.NCB_NONDATA",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits. These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits. This includes extended headers.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits. These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits. This includes extended headers.",
"UMask": "0x8",
"Unit": "QPI LL"
},
@@ -1350,7 +1350,7 @@
"EventName": "UNC_Q_TxL_FLITS_G2.NCS",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits transmitted over QPI. This includes extended headers.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits transmitted over QPI. This includes extended headers.",
"UMask": "0x10",
"Unit": "QPI LL"
},
@@ -1361,7 +1361,7 @@
"EventName": "UNC_Q_TxL_FLITS_G2.NDR_AD",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets to the local socket which use the AK ring.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets to the local socket which use the AK ring.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -1372,7 +1372,7 @@
"EventName": "UNC_Q_TxL_FLITS_G2.NDR_AK",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Counts the number of flits trasmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets destined for Route-thru to a remote socket.",
+ "PublicDescription": "Counts the number of flits transmitted across the QPI Link. This is one of three groups that allow us to track flits. It includes filters for NDR, NCB, and NCS message classes. Each flit is made up of 80 bits of information (in addition to some ECC data). In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data). In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit. When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits. Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed. One can calculate the bandwidth of the link by taking: flits*80b/time. Note that this is not the same as data bandwidth. For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information. To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel. This channel is used to send a variety of protocol flits including grants and completions. This is only for NDR packets destined for Route-thru to a remote socket.",
"UMask": "0x2",
"Unit": "QPI LL"
},
@@ -1511,7 +1511,7 @@
"EventName": "UNC_Q_TxR_AD_SNP_CREDIT_OCCUPANCY.VN0",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Occupancy event that tracks the number of link layer credits into the R3 (for transactions across the BGF) available in each cycle. Flow Control FIFO fro Snoop messages on AD.",
+ "PublicDescription": "Occupancy event that tracks the number of link layer credits into the R3 (for transactions across the BGF) available in each cycle. Flow Control FIFO for Snoop messages on AD.",
"UMask": "0x1",
"Unit": "QPI LL"
},
@@ -1522,7 +1522,7 @@
"EventName": "UNC_Q_TxR_AD_SNP_CREDIT_OCCUPANCY.VN1",
"ExtSel": "1",
"PerPkg": "1",
- "PublicDescription": "Occupancy event that tracks the number of link layer credits into the R3 (for transactions across the BGF) available in each cycle. Flow Control FIFO fro Snoop messages on AD.",
+ "PublicDescription": "Occupancy event that tracks the number of link layer credits into the R3 (for transactions across the BGF) available in each cycle. Flow Control FIFO for Snoop messages on AD.",
"UMask": "0x2",
"Unit": "QPI LL"
},
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/uncore-memory.json b/tools/perf/pmu-events/arch/x86/ivytown/uncore-memory.json
index 63b49b712c62..ed60ebca35cb 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/uncore-memory.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/uncore-memory.json
@@ -188,7 +188,7 @@
"EventCode": "0x9",
"EventName": "UNC_M_ECC_CORRECTABLE_ERRORS",
"PerPkg": "1",
- "PublicDescription": "Counts the number of ECC errors detected and corrected by the iMC on this channel. This counter is only useful with ECC DRAM devices. This count will increment one time for each correction regardless of the number of bits corrected. The iMC can correct up to 4 bit errors in independent channel mode and 8 bit erros in lockstep mode.",
+ "PublicDescription": "Counts the number of ECC errors detected and corrected by the iMC on this channel. This counter is only useful with ECC DRAM devices. This count will increment one time for each correction regardless of the number of bits corrected. The iMC can correct up to 4 bit errors in independent channel mode and 8 bit errors in lockstep mode.",
"Unit": "iMC"
},
{
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/uncore-other.json b/tools/perf/pmu-events/arch/x86/ivytown/uncore-other.json
index af289aa6c98e..6c7ddf642fc3 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/uncore-other.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/uncore-other.json
@@ -2097,7 +2097,7 @@
"EventCode": "0x33",
"EventName": "UNC_R3_VNA_CREDITS_ACQUIRED",
"PerPkg": "1",
- "PublicDescription": "Number of QPI VNA Credit acquisitions. This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder. VNA credits are used by all message classes in order to communicate across QPI. If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool. Note that a single packet may require multiple flit buffers (i.e. when data is being transfered). Therefore, this event will increment by the number of credits acquired in each cycle. Filtering based on message class is not provided. One can count the number of packets transfered in a given message class using an qfclk event.",
+ "PublicDescription": "Number of QPI VNA Credit acquisitions. This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder. VNA credits are used by all message classes in order to communicate across QPI. If a packet is unable to acquire credits, it will then attempt to use credits from the VN0 pool. Note that a single packet may require multiple flit buffers (i.e. when data is being transferred). Therefore, this event will increment by the number of credits acquired in each cycle. Filtering based on message class is not provided. One can count the number of packets transferred in a given message class using an qfclk event.",
"Unit": "R3QPI"
},
{
@@ -2106,7 +2106,7 @@
"EventCode": "0x33",
"EventName": "UNC_R3_VNA_CREDITS_ACQUIRED.AD",
"PerPkg": "1",
- "PublicDescription": "Number of QPI VNA Credit acquisitions. This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder. VNA credits are used by all message classes in order to communicate across QPI. If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool. Note that a single packet may require multiple flit buffers (i.e. when data is being transfered). Therefore, this event will increment by the number of credits acquired in each cycle. Filtering based on message class is not provided. One can count the number of packets transfered in a given message class using an qfclk event.; Filter for the Home (HOM) message class. HOM is generally used to send requests, request responses, and snoop responses.",
+ "PublicDescription": "Number of QPI VNA Credit acquisitions. This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder. VNA credits are used by all message classes in order to communicate across QPI. If a packet is unable to acquire credits, it will then attempt to use credits from the VN0 pool. Note that a single packet may require multiple flit buffers (i.e. when data is being transferred). Therefore, this event will increment by the number of credits acquired in each cycle. Filtering based on message class is not provided. One can count the number of packets transferred in a given message class using an qfclk event.; Filter for the Home (HOM) message class. HOM is generally used to send requests, request responses, and snoop responses.",
"UMask": "0x1",
"Unit": "R3QPI"
},
@@ -2116,7 +2116,7 @@
"EventCode": "0x33",
"EventName": "UNC_R3_VNA_CREDITS_ACQUIRED.BL",
"PerPkg": "1",
- "PublicDescription": "Number of QPI VNA Credit acquisitions. This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder. VNA credits are used by all message classes in order to communicate across QPI. If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool. Note that a single packet may require multiple flit buffers (i.e. when data is being transfered). Therefore, this event will increment by the number of credits acquired in each cycle. Filtering based on message class is not provided. One can count the number of packets transfered in a given message class using an qfclk event.; Filter for the Home (HOM) message class. HOM is generally used to send requests, request responses, and snoop responses.",
+ "PublicDescription": "Number of QPI VNA Credit acquisitions. This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder. VNA credits are used by all message classes in order to communicate across QPI. If a packet is unable to acquire credits, it will then attempt to use credits from the VN0 pool. Note that a single packet may require multiple flit buffers (i.e. when data is being transferred). Therefore, this event will increment by the number of credits acquired in each cycle. Filtering based on message class is not provided. One can count the number of packets transferred in a given message class using an qfclk event.; Filter for the Home (HOM) message class. HOM is generally used to send requests, request responses, and snoop responses.",
"UMask": "0x4",
"Unit": "R3QPI"
},
diff --git a/tools/perf/pmu-events/arch/x86/ivytown/uncore-power.json b/tools/perf/pmu-events/arch/x86/ivytown/uncore-power.json
index 0ba63a97ddfa..74c87217d75c 100644
--- a/tools/perf/pmu-events/arch/x86/ivytown/uncore-power.json
+++ b/tools/perf/pmu-events/arch/x86/ivytown/uncore-power.json
@@ -601,7 +601,7 @@
"EventCode": "0x80",
"EventName": "UNC_P_POWER_STATE_OCCUPANCY.CORES_C0",
"PerPkg": "1",
- "PublicDescription": "This is an occupancy event that tracks the number of cores that are in the chosen C-State. It can be used by itself to get the average number of cores in that C-state with threshholding to generate histograms, or with other PCU events and occupancy triggering to capture other details.",
+ "PublicDescription": "This is an occupancy event that tracks the number of cores that are in the chosen C-State. It can be used by itself to get the average number of cores in that C-state with thresholding to generate histograms, or with other PCU events and occupancy triggering to capture other details.",
"Unit": "PCU"
},
{
@@ -610,7 +610,7 @@
"EventCode": "0x80",
"EventName": "UNC_P_POWER_STATE_OCCUPANCY.CORES_C3",
"PerPkg": "1",
- "PublicDescription": "This is an occupancy event that tracks the number of cores that are in the chosen C-State. It can be used by itself to get the average number of cores in that C-state with threshholding to generate histograms, or with other PCU events and occupancy triggering to capture other details.",
+ "PublicDescription": "This is an occupancy event that tracks the number of cores that are in the chosen C-State. It can be used by itself to get the average number of cores in that C-state with thresholding to generate histograms, or with other PCU events and occupancy triggering to capture other details.",
"Unit": "PCU"
},
{
@@ -619,7 +619,7 @@
"EventCode": "0x80",
"EventName": "UNC_P_POWER_STATE_OCCUPANCY.CORES_C6",
"PerPkg": "1",
- "PublicDescription": "This is an occupancy event that tracks the number of cores that are in the chosen C-State. It can be used by itself to get the average number of cores in that C-state with threshholding to generate histograms, or with other PCU events and occupancy triggering to capture other details.",
+ "PublicDescription": "This is an occupancy event that tracks the number of cores that are in the chosen C-State. It can be used by itself to get the average number of cores in that C-state with thresholding to generate histograms, or with other PCU events and occupancy triggering to capture other details.",
"Unit": "PCU"
},
{
@@ -637,7 +637,7 @@
"EventCode": "0x9",
"EventName": "UNC_P_PROCHOT_INTERNAL_CYCLES",
"PerPkg": "1",
- "PublicDescription": "Counts the number of cycles that we are in Interal PROCHOT mode. This mode is triggered when a sensor on the die determines that we are too hot and must throttle to avoid damaging the chip.",
+ "PublicDescription": "Counts the number of cycles that we are in Internal PROCHOT mode. This mode is triggered when a sensor on the die determines that we are too hot and must throttle to avoid damaging the chip.",
"Unit": "PCU"
},
{
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 87731b33f8d0..80acb5fb722c 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -13,7 +13,7 @@ GenuineIntel-6-3F,v26,haswellx,core
GenuineIntel-6-(7D|7E|A7),v1.15,icelake,core
GenuineIntel-6-6[AC],v1.16,icelakex,core
GenuineIntel-6-3A,v22,ivybridge,core
-GenuineIntel-6-3E,v21,ivytown,core
+GenuineIntel-6-3E,v22,ivytown,core
GenuineIntel-6-2D,v21,jaketown,core
GenuineIntel-6-(57|85),v9,knightslanding,core
GenuineIntel-6-AA,v1.00,meteorlake,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 16/22] perf vendor events: Update Intel jaketown
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (14 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 15/22] perf vendor events: Update Intel ivytown Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 17/22] perf vendor events: Update Intel sandybridge Ian Rogers
` (6 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v21, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/jaketown/jkt-metrics.json | 291 +++++++++++++-----
1 file changed, 213 insertions(+), 78 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/jaketown/jkt-metrics.json b/tools/perf/pmu-events/arch/x86/jaketown/jkt-metrics.json
index c0fbb4f31241..f97072151e04 100644
--- a/tools/perf/pmu-events/arch/x86/jaketown/jkt-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/jaketown/jkt-metrics.json
@@ -1,64 +1,217 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * min(CPU_CLK_UNHALTED.THREAD, IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(12 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_L1D_PENDING) + RESOURCE_STALLS.SB) / (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_DISPATCH) + cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=1@ - cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(7 * DTLB_LOAD_MISSES.STLB_HIT + DTLB_LOAD_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_RETIRED.LLC_MISS)) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_RETIRED.LLC_MISS))) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=6@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_DISPATCH) + cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=1@ - cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_L1D_PENDING)) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS * FP_COMP_OPS_EXE.X87 / UOPS_DISPATCHED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) / UOPS_DISPATCHED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) / UOPS_DISPATCHED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -70,8 +223,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -82,16 +235,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_DISPATCHED.THREAD / UOPS_ISSUED.ANY",
@@ -101,44 +248,32 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_DISPATCHED.THREAD / (( cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@)",
+ "MetricExpr": "UOPS_DISPATCHED.THREAD / ((cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@ / 2) if #SMT_on else cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -149,7 +284,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -161,26 +296,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -198,7 +333,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
@@ -208,12 +343,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cbox_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -261,5 +390,11 @@
"MetricExpr": "(cstate_pkg@c7\\-residency@ / msr@tsc@) * 100",
"MetricGroup": "Power",
"MetricName": "C7_Pkg_Residency"
+ },
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
}
]
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 17/22] perf vendor events: Update Intel sandybridge
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (15 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 16/22] perf vendor events: Update Intel jaketown Ian Rogers
@ 2022-09-28 7:21 ` Ian Rogers
2022-09-28 7:22 ` [PATCH v1 18/22] perf vendor events: Update Intel sapphirerapids Ian Rogers
` (5 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:21 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v17, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/sandybridge/snb-metrics.json | 279 +++++++++++++-----
1 file changed, 207 insertions(+), 72 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/sandybridge/snb-metrics.json b/tools/perf/pmu-events/arch/x86/sandybridge/snb-metrics.json
index ae7ed267b2a2..a86e11d1878d 100644
--- a/tools/perf/pmu-events/arch/x86/sandybridge/snb-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/sandybridge/snb-metrics.json
@@ -1,64 +1,217 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
"PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * min(CPU_CLK_UNHALTED.THREAD, IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(12 * ITLB_MISSES.STLB_HIT + ITLB_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_L1D_PENDING) + RESOURCE_STALLS.SB) / (min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_DISPATCH) + cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=1@ - cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(7 * DTLB_LOAD_MISSES.STLB_HIT + DTLB_LOAD_MISSES.WALK_DURATION) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_MISC_RETIRED.LLC_MISS)) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.LLC_HIT / (MEM_LOAD_UOPS_RETIRED.LLC_HIT + 7 * MEM_LOAD_UOPS_MISC_RETIRED.LLC_MISS))) * CYCLE_ACTIVITY.STALLS_L2_PENDING / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=6@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.CYCLES_NO_DISPATCH) + cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=1@ - cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=3@ if (IPC > 1.8) else cpu@UOPS_DISPATCHED.THREAD\\,cmask\\=2@ - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - min(CPU_CLK_UNHALTED.THREAD, CYCLE_ACTIVITY.STALLS_L1D_PENDING)) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS * FP_COMP_OPS_EXE.X87 / UOPS_DISPATCHED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) / UOPS_DISPATCHED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) / UOPS_DISPATCHED.THREAD",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -70,8 +223,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -82,16 +235,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_DISPATCHED.THREAD / UOPS_ISSUED.ANY",
@@ -101,44 +248,32 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_DISPATCHED.THREAD / (( cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@)",
+ "MetricExpr": "UOPS_DISPATCHED.THREAD / ((cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@ / 2) if #SMT_on else cpu@UOPS_DISPATCHED.CORE\\,cmask\\=1@)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -149,7 +284,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -161,26 +296,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE ) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * ( FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE ) + 8 * SIMD_FP_256.PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_COMP_OPS_EXE.SSE_SCALAR_SINGLE + FP_COMP_OPS_EXE.SSE_SCALAR_DOUBLE) + 2 * FP_COMP_OPS_EXE.SSE_PACKED_DOUBLE + 4 * (FP_COMP_OPS_EXE.SSE_PACKED_SINGLE + SIMD_FP_256.PACKED_DOUBLE) + 8 * SIMD_FP_256.PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -198,7 +333,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 18/22] perf vendor events: Update Intel sapphirerapids
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (16 preceding siblings ...)
2022-09-28 7:21 ` [PATCH v1 17/22] perf vendor events: Update Intel sandybridge Ian Rogers
@ 2022-09-28 7:22 ` Ian Rogers
2022-09-28 7:22 ` [PATCH v1 19/22] perf vendor events: Update silvermont cpuids Ian Rogers
` (4 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:22 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events are updated to v1.06 the core metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- Addition of all 6 levels of TMA metrics. Previously metrics
involving topdown events were dropped. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
.../arch/x86/sapphirerapids/cache.json | 4 +-
.../arch/x86/sapphirerapids/frontend.json | 11 +
.../arch/x86/sapphirerapids/pipeline.json | 4 +-
.../arch/x86/sapphirerapids/spr-metrics.json | 858 ++++++++++++++++--
5 files changed, 807 insertions(+), 72 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 80acb5fb722c..298ebda0c439 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -20,7 +20,7 @@ GenuineIntel-6-AA,v1.00,meteorlake,core
GenuineIntel-6-1[AEF],v3,nehalemep,core
GenuineIntel-6-2E,v3,nehalemex,core
GenuineIntel-6-2A,v17,sandybridge,core
-GenuineIntel-6-8F,v1.04,sapphirerapids,core
+GenuineIntel-6-8F,v1.06,sapphirerapids,core
GenuineIntel-6-(37|4C|4D),v14,silvermont,core
GenuineIntel-6-(4E|5E|8E|9E|A5|A6),v53,skylake,core
GenuineIntel-6-55-[01234],v1.28,skylakex,core
diff --git a/tools/perf/pmu-events/arch/x86/sapphirerapids/cache.json b/tools/perf/pmu-events/arch/x86/sapphirerapids/cache.json
index 348476ce8107..c05c741e22db 100644
--- a/tools/perf/pmu-events/arch/x86/sapphirerapids/cache.json
+++ b/tools/perf/pmu-events/arch/x86/sapphirerapids/cache.json
@@ -35,7 +35,7 @@
"UMask": "0x2"
},
{
- "BriefDescription": "Number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailablability.",
+ "BriefDescription": "Number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailability.",
"CollectPEBSRecord": "2",
"Counter": "0,1,2,3",
"CounterMask": "1",
@@ -43,7 +43,7 @@
"EventCode": "0x48",
"EventName": "L1D_PEND_MISS.FB_FULL_PERIODS",
"PEBScounters": "0,1,2,3",
- "PublicDescription": "Counts number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailablability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
+ "PublicDescription": "Counts number of phases a demand request has waited due to L1D Fill Buffer (FB) unavailability. Demand requests include cacheable/uncacheable demand load, store, lock or SW prefetch accesses.",
"SampleAfterValue": "1000003",
"Speculative": "1",
"UMask": "0x2"
diff --git a/tools/perf/pmu-events/arch/x86/sapphirerapids/frontend.json b/tools/perf/pmu-events/arch/x86/sapphirerapids/frontend.json
index 44ecf38ad970..ff0d47ce8e9a 100644
--- a/tools/perf/pmu-events/arch/x86/sapphirerapids/frontend.json
+++ b/tools/perf/pmu-events/arch/x86/sapphirerapids/frontend.json
@@ -11,6 +11,17 @@
"Speculative": "1",
"UMask": "0x1"
},
+ {
+ "BriefDescription": "Cycles the Microcode Sequencer is busy.",
+ "CollectPEBSRecord": "2",
+ "Counter": "0,1,2,3",
+ "EventCode": "0x87",
+ "EventName": "DECODE.MS_BUSY",
+ "PEBScounters": "0,1,2,3",
+ "SampleAfterValue": "500009",
+ "Speculative": "1",
+ "UMask": "0x2"
+ },
{
"BriefDescription": "DSB-to-MITE switch true penalty cycles.",
"CollectPEBSRecord": "2",
diff --git a/tools/perf/pmu-events/arch/x86/sapphirerapids/pipeline.json b/tools/perf/pmu-events/arch/x86/sapphirerapids/pipeline.json
index df4f3d714e6e..b2f0d9393d3c 100644
--- a/tools/perf/pmu-events/arch/x86/sapphirerapids/pipeline.json
+++ b/tools/perf/pmu-events/arch/x86/sapphirerapids/pipeline.json
@@ -80,10 +80,10 @@
"EventCode": "0xc1",
"EventName": "ASSISTS.ANY",
"PEBScounters": "0,1,2,3,4,5,6,7",
- "PublicDescription": "Counts the number of occurrences where a microcode assist is invoked by hardware Examples include AD (page Access Dirty), FP and AVX related assists.",
+ "PublicDescription": "Counts the number of occurrences where a microcode assist is invoked by hardware. Examples include AD (page Access Dirty), FP and AVX related assists.",
"SampleAfterValue": "100003",
"Speculative": "1",
- "UMask": "0x1f"
+ "UMask": "0x1b"
},
{
"BriefDescription": "All branch instructions retired.",
diff --git a/tools/perf/pmu-events/arch/x86/sapphirerapids/spr-metrics.json b/tools/perf/pmu-events/arch/x86/sapphirerapids/spr-metrics.json
index e194dfc5c25b..7fc52935d447 100644
--- a/tools/perf/pmu-events/arch/x86/sapphirerapids/spr-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/sapphirerapids/spr-metrics.json
@@ -1,16 +1,716 @@
[
+ {
+ "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
+ "MetricExpr": "topdown\\-fe\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "(topdown\\-fetch\\-lat / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS)",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "ICACHE_DATA.STALLS / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_TAG.STALLS / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(tma_branch_mispredicts / tma_bad_speculation) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (tma_branch_mispredicts / tma_bad_speculation)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "INT_MISC.UNKNOWN_BRANCH_CYCLES / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: FRONTEND_RETIRED.UNKNOWN_BRANCH"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "DECODE.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: FRONTEND_RETIRED.MS_FLOWS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "max(0, tma_frontend_bound - tma_fetch_latency)",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.MITE_CYCLES_ANY - IDQ.MITE_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.DSB_CYCLES_ANY - IDQ.DSB_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
+ "MetricExpr": "max(1 - (tma_frontend_bound + tma_backend_bound + tma_retiring), 0)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
+ "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "topdown\\-br\\-mispredict / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: TOPDOWN.BR_MISPREDICT_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "max(0, tma_bad_speculation - tma_branch_mispredicts)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
+ "MetricExpr": "topdown\\-be\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
+ "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "topdown\\-mem\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((EXE_ACTIVITY.BOUND_ON_LOADS - MEMORY_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(7 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - MEMORY_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(16 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (10 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "L1D_PEND_MISS.FB_FULL / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L1D_MISS - MEMORY_ACTIVITY.STALLS_L2_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L2_MISS - MEMORY_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((25 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD))) + (24 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(24 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD + MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (1 - (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(9 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "(XQ.FULL_CYCLES + L1D_PEND_MISS.L2_STALLS) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "((MEMORY_ACTIVITY.STALLS_L3_MISS / CLKS) - tma_pmm_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to memory bandwidth Allocation feature (RDT's memory bandwidth throttling).",
+ "MetricExpr": "INT_MISC.MBA_STALLS / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;Server;TopdownL5;tma_mem_bandwidth_group",
+ "MetricName": "tma_mba_stalls"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
+ "MetricExpr": "(54.5 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_local_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+ "MetricExpr": "(119 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_dram",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+ "MetricExpr": "((108 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM + (108 * Average_Frequency) * MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_mem_latency_group",
+ "MetricName": "tma_remote_cache",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article Sample with: MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates (based on idle latencies) how often the CPU was stalled on accesses to external 3D-Xpoint (Crystal Ridge, a.k.a",
+ "MetricExpr": "(((1 - ((19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 10 * ((MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))) / ((19 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 10 * ((MEM_LOAD_L3_MISS_RETIRED.LOCAL_DRAM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_FWD * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + (MEM_LOAD_L3_MISS_RETIRED.REMOTE_HITM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))) + (25 * (MEM_LOAD_RETIRED.LOCAL_PMM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + 33 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))))))) * (MEMORY_ACTIVITY.STALLS_L3_MISS / CLKS)) if (1000000 * (MEM_LOAD_L3_MISS_RETIRED.REMOTE_PMM + MEM_LOAD_RETIRED.LOCAL_PMM) > MEM_LOAD_RETIRED.L1_MISS) else 0)",
+ "MetricGroup": "MemoryBound;Server;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_pmm_bound",
+ "PublicDescription": "This metric roughly estimates (based on idle latencies) how often the CPU was stalled on accesses to external 3D-Xpoint (Crystal Ridge, a.k.a. IXP) memory by loads, PMM stands for Persistent Memory Module. "
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((MEM_STORE_RETIRED.L2_HIT * 10 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(28 * Average_Frequency) * OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores",
+ "MetricExpr": "9 * OCR.STREAMING_WR.ANY_RESPONSE / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_streaming_stores",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should Streaming stores be a bottleneck. Sample with: OCR.STREAMING_WR.ANY_RESPONSE"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "max(0, tma_backend_bound - tma_memory_bound)",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * cpu@EXE_ACTIVITY.2_PORTS_UTIL\\,umask\\=0xc@)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - EXE_ACTIVITY.BOUND_ON_LOADS)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * cpu@EXE_ACTIVITY.2_PORTS_UTIL\\,umask\\=0xc@) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ / CLKS + tma_serializing_operation * (CYCLE_ACTIVITY.STALLS_TOTAL - EXE_ACTIVITY.BOUND_ON_LOADS) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "RESOURCE_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: RESOURCE_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
+ "MetricExpr": "CPU_CLK_UNHALTED.PAUSE / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_slow_pause",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: CPU_CLK_UNHALTED.PAUSE_INST"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to LFENCE Instructions.",
+ "MetricExpr": "13 * MISC2_RETIRED.LFENCE / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_memory_fence"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "160 * ASSISTS.SSE_AVX_MIX / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the Advanced Matrix Extensions (AMX) execution engine was busy with tile (arithmetic) operations",
+ "MetricExpr": "EXE.AMX_BUSY / CORE_CLKS",
+ "MetricGroup": "Compute;HPC;Server;TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_amx_busy"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.1_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.2_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "UOPS_EXECUTED.CYCLES_GE_3 / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_0 + UOPS_DISPATCHED.PORT_1 + UOPS_DISPATCHED.PORT_5_11 + UOPS_DISPATCHED.PORT_6) / (5 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3_10",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_2_3_10 / (3 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_4_9 + UOPS_DISPATCHED.PORT_7_8) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
+ "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "max(0, tma_retiring - tma_heavy_operations)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector + tma_fp_amx",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.VECTOR) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.128B_PACKED_HALF) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.256B_PACKED_HALF) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.512B_PACKED_HALF) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_512b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) matrix uops fraction the CPU has retired (aggregated across all supported FP datatypes in AMX engine)",
+ "MetricExpr": "cpu@AMX_OPS_RETIRED.BF16\\,cmask\\=1@ / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;HPC;Pipeline;Server;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_amx",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) matrix uops fraction the CPU has retired (aggregated across all supported FP datatypes in AMX engine). Refer to AMX_Busy and GFLOPs metrics for actual AMX utilization and FP performance, resp."
+ },
+ {
+ "BriefDescription": "This metric represents overall Integer (Int) select operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_int_vector_128b + tma_int_vector_256b + tma_shuffles",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_int_operations",
+ "PublicDescription": "This metric represents overall Integer (Int) select operations fraction the CPU has executed (retired). Vector/Matrix Int operations and shuffles are counted. Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain."
+ },
+ {
+ "BriefDescription": "This metric represents 128-bit vector Integer ADD/SUB/SAD or VNNI (Vector Neural Network Instructions) uops fraction the CPU has retired.",
+ "MetricExpr": "(INT_VEC_RETIRED.ADD_128 + INT_VEC_RETIRED.VNNI_128) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;IntVector;Pipeline;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_int_vector_128b"
+ },
+ {
+ "BriefDescription": "This metric represents 256-bit vector Integer ADD/SUB/SAD or VNNI (Vector Neural Network Instructions) uops fraction the CPU has retired.",
+ "MetricExpr": "(INT_VEC_RETIRED.ADD_256 + INT_VEC_RETIRED.MUL_256 + INT_VEC_RETIRED.VNNI_256) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;IntVector;Pipeline;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_int_vector_256b"
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic Integer (Int) matrix uops fraction the CPU has retired (aggregated across all supported Int datatypes in AMX engine)",
+ "MetricExpr": "cpu@AMX_OPS_RETIRED.INT8\\,cmask\\=1@ / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;HPC;IntVector;Pipeline;Server;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_int_amx",
+ "PublicDescription": "This metric approximates arithmetic Integer (Int) matrix uops fraction the CPU has retired (aggregated across all supported Int datatypes in AMX engine). Refer to AMX_Busy and TIOPs metrics for actual AMX utilization and Int performance, resp."
+ },
+ {
+ "BriefDescription": "This metric represents Shuffle (cross \"vector lane\" data transfers) uops fraction the CPU has retired.",
+ "MetricExpr": "INT_VEC_RETIRED.SHUFFLES / (tma_retiring * SLOTS)",
+ "MetricGroup": "HPC;Pipeline;TopdownL4;tma_int_operations_group",
+ "MetricName": "tma_shuffles"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_UOP_RETIRED.ANY / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.MACRO_FUSED / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fused_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions. The instruction pairs of CMP+JCC or DEC+JCC are commonly used examples."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused",
+ "MetricExpr": "tma_light_operations * (BR_INST_RETIRED.ALL_BRANCHES - INST_RETIRED.MACRO_FUSED) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_non_fused_branches",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused. Non-conditional branches like direct JMP or CALL would count here. Can be used to examine fusible conditional jumps that were not fused."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_int_operations + tma_memory_operations + tma_fused_instructions + tma_non_fused_branches + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "topdown\\-heavy\\-ops / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences. Sample with: UOPS_RETIRED.HEAVY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "UOPS_RETIRED.MS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: UOPS_RETIRED.MS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * cpu@ASSISTS.ANY\\,umask\\=0x1B@ / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Page Faults",
+ "MetricExpr": "99 * ASSISTS.PAGE_FAULT / SLOTS",
+ "MetricGroup": "TopdownL5;tma_assists_group",
+ "MetricName": "tma_page_faults",
+ "PublicDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Page Faults. A Page Fault may apply on first application access to a memory page. Note operating system handling of page faults accounts for the majority of its cost."
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Floating Point (FP) Assists",
+ "MetricExpr": "30 * ASSISTS.FP / SLOTS",
+ "MetricGroup": "HPC;TopdownL5;tma_assists_group",
+ "MetricName": "tma_fp_assists",
+ "PublicDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Floating Point (FP) Assists. FP Assist may apply when working with very small floating point values (so-called denormals)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops as a result of handing SSE to AVX* or AVX* to SSE transition Assists. ",
+ "MetricExpr": "63 * ASSISTS.SSE_AVX_MIX / SLOTS",
+ "MetricGroup": "HPC;TopdownL5;tma_assists_group",
+ "MetricName": "tma_avx_assists"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources. Sample with: FRONTEND_RETIRED.MS_FLOWS"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_fb_full / (tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
+ "MetricGroup": "Mem;MemoryBW;Offcore",
+ "MetricName": "Memory_Bandwidth"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)))",
+ "MetricGroup": "Mem;MemoryLat;Offcore",
+ "MetricName": "Memory_Latency"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_pmm_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency + tma_streaming_stores))) ",
+ "MetricGroup": "Mem;MemoryTLB;Offcore",
+ "MetricName": "Memory_Data_TLBs"
+ },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
+ "MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
+ "MetricName": "Big_Code"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
+ "MetricGroup": "Fed;FetchBW;Frontend",
+ "MetricName": "Instruction_Fetch_BW"
+ },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
+ {
+ "BriefDescription": "Uops Per Instruction",
+ "MetricExpr": "(tma_retiring * SLOTS) / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;Ret;Retire",
+ "MetricName": "UPI"
+ },
+ {
+ "BriefDescription": "Instruction per taken branch",
+ "MetricExpr": "(tma_retiring * SLOTS) / BR_INST_RETIRED.NEAR_TAKEN",
+ "MetricGroup": "Branches;Fed;FetchBW",
+ "MetricName": "UpTB"
+ },
{
"BriefDescription": "Per-Logical Processor actual clocks when the Logical Processor is active.",
"MetricExpr": "CPU_CLK_UNHALTED.THREAD",
@@ -20,13 +720,13 @@
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
"MetricExpr": "TOPDOWN.SLOTS",
- "MetricGroup": "TmaL1",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
{
"BriefDescription": "Fraction of Physical Core issue-slots utilized by this Logical Processor",
- "MetricExpr": "TOPDOWN.SLOTS / ( TOPDOWN.SLOTS / 2 ) if #SMT_on else 1",
- "MetricGroup": "SMT;TmaL1",
+ "MetricExpr": "SLOTS / (TOPDOWN.SLOTS / 2) if #SMT_on else 1",
+ "MetricGroup": "SMT;tma_L1_group",
"MetricName": "Slots_Utilization"
},
{
@@ -38,29 +738,35 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR_HALF ) + 2 * ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED2.COMPLEX_SCALAR_HALF ) + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED2.128B_PACKED_HALF + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * ( FP_ARITH_INST_RETIRED2.256B_PACKED_HALF + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) + 32 * FP_ARITH_INST_RETIRED2.512B_PACKED_HALF + 4 * AMX_OPS_RETIRED.BF16 ) / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR_HALF) + 2 * (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED2.COMPLEX_SCALAR_HALF) + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED2.128B_PACKED_HALF + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * (FP_ARITH_INST_RETIRED2.256B_PACKED_HALF + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) + 32 * FP_ARITH_INST_RETIRED2.512B_PACKED_HALF + 4 * AMX_OPS_RETIRED.BF16) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( FP_ARITH_DISPATCHED.PORT_0 + FP_ARITH_DISPATCHED.PORT_1 + FP_ARITH_DISPATCHED.PORT_5 ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(FP_ARITH_DISPATCHED.PORT_0 + FP_ARITH_DISPATCHED.PORT_1 + FP_ARITH_DISPATCHED.PORT_5) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
+ {
+ "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
+ "MetricGroup": "Cor;SMT",
+ "MetricName": "Core_Bound_Likely"
+ },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
"MetricExpr": "CPU_CLK_UNHALTED.DISTRIBUTED",
@@ -105,13 +811,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR_HALF ) + 2 * ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED2.COMPLEX_SCALAR_HALF ) + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED2.128B_PACKED_HALF + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * ( FP_ARITH_INST_RETIRED2.256B_PACKED_HALF + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) + 32 * FP_ARITH_INST_RETIRED2.512B_PACKED_HALF + 4 * AMX_OPS_RETIRED.BF16 )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR_HALF) + 2 * (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED2.COMPLEX_SCALAR_HALF) + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED2.128B_PACKED_HALF + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * (FP_ARITH_INST_RETIRED2.256B_PACKED_HALF + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) + 32 * FP_ARITH_INST_RETIRED2.512B_PACKED_HALF + 4 * AMX_OPS_RETIRED.BF16)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.VECTOR) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.VECTOR))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -132,21 +838,21 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.128B_PACKED_HALF )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.128B_PACKED_HALF)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.256B_PACKED_HALF )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.256B_PACKED_HALF)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.512B_PACKED_HALF )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE + FP_ARITH_INST_RETIRED2.512B_PACKED_HALF)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX512",
"PublicDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -161,7 +867,7 @@
{
"BriefDescription": "Instructions per Integer Arithmetic AMX operation (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / AMX_OPS_RETIRED.INT8",
- "MetricGroup": "IntVector;InsType;Server",
+ "MetricGroup": "InsType;IntVector;Server",
"MetricName": "IpArith_AMX_Int8",
"PublicDescription": "Instructions per Integer Arithmetic AMX operation (lower number means higher occurrence rate). Operations factored per matrices' sizes of the AMX instructions."
},
@@ -172,11 +878,17 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
+ {
+ "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
+ "MetricExpr": "(tma_retiring * SLOTS) / cpu@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
+ "MetricGroup": "Pipeline;Ret",
+ "MetricName": "Retire"
+ },
{
"BriefDescription": "Estimated fraction of retirement-cycles dealing with repeat instructions",
"MetricExpr": "INST_RETIRED.REP_ITERATION / cpu@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
@@ -213,6 +925,12 @@
"MetricGroup": "DSBmiss",
"MetricName": "DSB_Switch_Cost"
},
+ {
+ "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_mite))",
+ "MetricGroup": "DSBmiss;Fed",
+ "MetricName": "DSB_Misses"
+ },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -225,6 +943,12 @@
"MetricGroup": "Bad;BadSpec;BrMispredicts",
"MetricName": "IpMispredict"
},
+ {
+ "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricGroup": "Bad;BrMispredicts",
+ "MetricName": "Branch_Misprediction_Cost"
+ },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -239,7 +963,7 @@
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
@@ -251,7 +975,7 @@
},
{
"BriefDescription": "Fraction of branches of other types (not individually covered by other metrics in Info.Branches group)",
- "MetricExpr": "1 - ( (BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (BR_INST_RETIRED.COND_TAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES) + ((BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES) )",
+ "MetricExpr": "1 - (Cond_NT + Cond_TK + CallRet + Jump)",
"MetricGroup": "Bad;Branches",
"MetricName": "Other_Branches"
},
@@ -264,67 +988,67 @@
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING ) / ( 4 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING) / (4 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
@@ -354,37 +1078,37 @@
},
{
"BriefDescription": "Rate of silent evictions from the L2 cache per Kilo instruction where the evicted lines are dropped (no writeback to L3 or memory)",
- "MetricExpr": "1000 * L2_LINES_OUT.SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_Silent_PKI"
},
{
"BriefDescription": "Rate of non silent evictions from the L2 cache per Kilo instruction",
- "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / INST_RETIRED.ANY",
+ "MetricExpr": "1000 * L2_LINES_OUT.NON_SILENT / Instructions",
"MetricGroup": "L2Evicts;Mem;Server",
"MetricName": "L2_Evictions_NonSilent_PKI"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -396,26 +1120,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR_HALF ) + 2 * ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED2.COMPLEX_SCALAR_HALF ) + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED2.128B_PACKED_HALF + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * ( FP_ARITH_INST_RETIRED2.256B_PACKED_HALF + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) + 32 * FP_ARITH_INST_RETIRED2.512B_PACKED_HALF + 4 * AMX_OPS_RETIRED.BF16 ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + FP_ARITH_INST_RETIRED2.SCALAR_HALF) + 2 * (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED2.COMPLEX_SCALAR_HALF) + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED2.128B_PACKED_HALF + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * (FP_ARITH_INST_RETIRED2.256B_PACKED_HALF + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) + 32 * FP_ARITH_INST_RETIRED2.512B_PACKED_HALF + 4 * AMX_OPS_RETIRED.BF16) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Tera Integer (matrix) Operations Per Second",
- "MetricExpr": "( 8 * AMX_OPS_RETIRED.INT8 / 1000000000000 ) / duration_time",
+ "MetricExpr": "(8 * AMX_OPS_RETIRED.INT8 / 1e12) / duration_time",
"MetricGroup": "Cor;HPC;IntVector;Server",
"MetricName": "TIOPS"
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
@@ -439,13 +1163,13 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "(64 * (uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@) / 1000000000) / duration_time",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
"BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD ) / ( uncore_cha_0@event\\=0x1@ / duration_time )",
+ "MetricExpr": "1000000000 * (UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD) / (Socket_CLKS / duration_time)",
"MetricGroup": "Mem;MemoryLat;SoC",
"MetricName": "MEM_Read_Latency"
},
@@ -457,32 +1181,32 @@
},
{
"BriefDescription": "Average latency of data read request to external 3D X-Point memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM ) / uncore_cha_0@event\\=0x1@ )",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": "(1000000000 * (UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM) / uncore_cha_0@event\\=0x1@)",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_PMM_Read_Latency"
},
{
"BriefDescription": "Average latency of data read request to external DRAM memory [in nanoseconds]. Accounts for demand loads and L1/L2 data-read prefetches",
- "MetricExpr": " 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR ) / uncore_cha_0@event\\=0x1@",
- "MetricGroup": "Mem;MemoryLat;SoC;Server",
+ "MetricExpr": " 1000000000 * (UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR) / uncore_cha_0@event\\=0x1@",
+ "MetricGroup": "Mem;MemoryLat;Server;SoC",
"MetricName": "MEM_DRAM_Read_Latency"
},
{
"BriefDescription": "Average 3DXP Memory Bandwidth Use for reads [GB / sec]",
- "MetricExpr": "( ( 64 * UNC_M_PMM_RPQ_INSERTS / 1000000000 ) / duration_time )",
- "MetricGroup": "Mem;MemoryBW;SoC;Server",
+ "MetricExpr": "((64 * UNC_M_PMM_RPQ_INSERTS / 1000000000) / duration_time)",
+ "MetricGroup": "Mem;MemoryBW;Server;SoC",
"MetricName": "PMM_Read_BW"
},
{
"BriefDescription": "Average 3DXP Memory Bandwidth Use for Writes [GB / sec]",
- "MetricExpr": "( ( 64 * UNC_M_PMM_WPQ_INSERTS / 1000000000 ) / duration_time )",
- "MetricGroup": "Mem;MemoryBW;SoC;Server",
+ "MetricExpr": "((64 * UNC_M_PMM_WPQ_INSERTS / 1000000000) / duration_time)",
+ "MetricGroup": "Mem;MemoryBW;Server;SoC",
"MetricName": "PMM_Write_BW"
},
{
"BriefDescription": "Average IO (network or disk) Bandwidth Use for Writes [GB / sec]",
"MetricExpr": "UNC_CHA_TOR_INSERTS.IO_PCIRDCUR * 64 / 1000000000 / duration_time",
- "MetricGroup": "IoBW;Mem;SoC;Server",
+ "MetricGroup": "IoBW;Mem;Server;SoC",
"MetricName": "IO_Write_BW"
},
{
@@ -491,12 +1215,6 @@
"MetricGroup": "SoC",
"MetricName": "Socket_CLKS"
},
- {
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "uncore_cha_0@event\\=0x1@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
- },
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
"MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
@@ -527,6 +1245,12 @@
"MetricGroup": "Power",
"MetricName": "C6_Pkg_Residency"
},
+ {
+ "BriefDescription": "Uncore frequency per die [GHZ]",
+ "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1000000000",
+ "MetricGroup": "SoC",
+ "MetricName": "UNCORE_FREQ"
+ },
{
"BriefDescription": "Percentage of time spent in the active CPU power state C0",
"MetricExpr": "100 * CPU_CLK_UNHALTED.REF_TSC / TSC",
@@ -620,42 +1344,42 @@
},
{
"BriefDescription": "Ratio of number of code read requests missing last level core cache (includes demand w/ prefetches) to the total number of completed instructions",
- "MetricExpr": "( UNC_CHA_TOR_INSERTS.IA_MISS_CRD ) / INST_RETIRED.ANY",
+ "MetricExpr": "UNC_CHA_TOR_INSERTS.IA_MISS_CRD / INST_RETIRED.ANY",
"MetricGroup": "",
"MetricName": "llc_code_read_mpi_demand_plus_prefetch",
"ScaleUnit": "1per_instr"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD / UNC_CHA_TOR_INSERTS.IA_MISS_DRD ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_latency",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to local memory in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_LOCAL ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_LOCAL ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_latency_for_local_requests",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to remote memory in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_REMOTE ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_REMOTE ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_latency_for_remote_requests",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to Intel(R) Optane(TM) Persistent Memory(PMEM) in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_PMM ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_PMM) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_to_pmem_latency",
"ScaleUnit": "1ns"
},
{
"BriefDescription": "Average latency of a last level cache (LLC) demand data read miss (read memory access) addressed to DRAM in nano seconds",
- "MetricExpr": "( ( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR) * #num_packages ) ) ) * duration_time )",
+ "MetricExpr": "( 1000000000 * ( UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR / UNC_CHA_TOR_INSERTS.IA_MISS_DRD_DDR ) / ( UNC_CHA_CLOCKTICKS / ( source_count(UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_DDR) * #num_packages ) ) ) * duration_time",
"MetricGroup": "",
"MetricName": "llc_demand_data_read_miss_to_dram_latency",
"ScaleUnit": "1ns"
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 19/22] perf vendor events: Update silvermont cpuids
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (17 preceding siblings ...)
2022-09-28 7:22 ` [PATCH v1 18/22] perf vendor events: Update Intel sapphirerapids Ian Rogers
@ 2022-09-28 7:22 ` Ian Rogers
2022-09-28 7:22 ` [PATCH v1 20/22] perf vendor events: Update Intel skylake Ian Rogers
` (3 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:22 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Add cpuid that was added to https://download.01.org/perfmon/mapfile.csv
Signed-off-by: Ian Rogers <irogers@google.com>
---
tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 298ebda0c439..67ed9063eb54 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -21,7 +21,7 @@ GenuineIntel-6-1[AEF],v3,nehalemep,core
GenuineIntel-6-2E,v3,nehalemex,core
GenuineIntel-6-2A,v17,sandybridge,core
GenuineIntel-6-8F,v1.06,sapphirerapids,core
-GenuineIntel-6-(37|4C|4D),v14,silvermont,core
+GenuineIntel-6-(37|4A|4C|4D),v14,silvermont,core
GenuineIntel-6-(4E|5E|8E|9E|A5|A6),v53,skylake,core
GenuineIntel-6-55-[01234],v1.28,skylakex,core
GenuineIntel-6-86,v1.20,snowridgex,core
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 20/22] perf vendor events: Update Intel skylake
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (18 preceding siblings ...)
2022-09-28 7:22 ` [PATCH v1 19/22] perf vendor events: Update silvermont cpuids Ian Rogers
@ 2022-09-28 7:22 ` Ian Rogers
2022-09-28 7:22 ` [PATCH v1 21/22] perf vendor events: Update Intel tigerlake Ian Rogers
` (2 subsequent siblings)
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:22 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v53, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode are
correctly expanded in the single main metric.
- Addition of all 6 levels of TMA metrics. Child metrics are placed
in a group named after their parent allowing children of a metric
to be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/skylake/skl-metrics.json | 774 ++++++++++++++----
1 file changed, 594 insertions(+), 180 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/skylake/skl-metrics.json b/tools/perf/pmu-events/arch/x86/skylake/skl-metrics.json
index 73fa72d3dcb1..95e21e479e1a 100644
--- a/tools/perf/pmu-events/arch/x86/skylake/skl-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/skylake/skl-metrics.json
@@ -1,148 +1,611 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "(ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_64B.IFTAG_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT))) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "9 * BACLEARS.ANY / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
+ "MetricExpr": "1 - tma_frontend_bound - (UOPS_ISSUED.ANY + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
"PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(12 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (9 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) / ((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@)) * ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((18.5 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM + (16.5 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(16.5 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(6.5 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(22 * Average_Frequency) * OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(UOPS_EXECUTED.CORE_CYCLES_NONE / 2 if #SMT_on else CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "PARTIAL_RAT_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: PARTIAL_RAT_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "CLKS * UOPS_ISSUED.VECTOR_WIDTH_MISMATCH / UOPS_ISSUED.ANY",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((UOPS_EXECUTED.CORE_CYCLES_GE_1 - UOPS_EXECUTED.CORE_CYCLES_GE_2) / 2 if #SMT_on else EXE_ACTIVITY.1_PORTS_UTIL) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((UOPS_EXECUTED.CORE_CYCLES_GE_2 - UOPS_EXECUTED.CORE_CYCLES_GE_3) / 2 if #SMT_on else EXE_ACTIVITY.2_PORTS_UTIL) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+ "MetricExpr": "(UOPS_EXECUTED.CORE_CYCLES_GE_3 / 2 if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_3) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED_PORT.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED_PORT.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_2",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads) Sample with: UOPS_DISPATCHED_PORT.PORT_3",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data) Sample with: UOPS_DISPATCHED_PORT.PORT_4",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address) Sample with: UOPS_DISPATCHED_PORT.PORT_7",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
},
{
- "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
- "MetricExpr": "100 * ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "Bad;BadSpec;BrMispredicts",
- "MetricName": "Mispredictions"
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_INST_RETIRED.ANY / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions",
+ "MetricExpr": "tma_light_operations * UOPS_RETIRED.MACRO_FUSED / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fused_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions. The instruction pairs of CMP+JCC or DEC+JCC are commonly used examples."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused",
+ "MetricExpr": "tma_light_operations * (BR_INST_RETIRED.ALL_BRANCHES - UOPS_RETIRED.MACRO_FUSED) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_non_fused_branches",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused. Non-conditional branches like direct JMP or CALL would count here. Can be used to examine fusible conditional jumps that were not fused."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_memory_operations + tma_fused_instructions + tma_non_fused_branches + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS + UOPS_RETIRED.MACRO_FUSED - INST_RETIRED.ANY) / SLOTS",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * (FP_ASSIST.ANY + OTHER_ASSISTS.ANY) / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
- "MetricExpr": "100 * ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "Bad;BadSpec;BrMispredicts_SMT",
- "MetricName": "Mispredictions_SMT"
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
},
{
"BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (OFFCORE_REQUESTS_BUFFER.SQ_FULL / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) ) + ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( ((L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )) * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CPU_CLK_UNHALTED.THREAD) / #(max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) ",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_fb_full / (tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "Memory_Bandwidth"
},
- {
- "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2 ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) ) + ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( ((L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )) * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CPU_CLK_UNHALTED.THREAD) / #(max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) ",
- "MetricGroup": "Mem;MemoryBW;Offcore_SMT",
- "MetricName": "Memory_Bandwidth_SMT"
- },
{
"BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD ) / CPU_CLK_UNHALTED.THREAD - (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD)) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (( (10 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) - (3.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) ) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) + ( (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD)) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) )",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)))",
"MetricGroup": "Mem;MemoryLat;Offcore",
"MetricName": "Memory_Latency"
},
- {
- "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( CPU_CLK_UNHALTED.THREAD , OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD ) / CPU_CLK_UNHALTED.THREAD - (min( CPU_CLK_UNHALTED.THREAD , cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@ ) / CPU_CLK_UNHALTED.THREAD)) / #(CYCLE_ACTIVITY.STALLS_L3_MISS / CPU_CLK_UNHALTED.THREAD + (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD) - (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD))) ) + ( (( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( (10 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) - (3.5 * ((CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time)) ) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CPU_CLK_UNHALTED.THREAD) / #(( CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS ) / CPU_CLK_UNHALTED.THREAD) ) + ( (( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) / ( (MEM_LOAD_RETIRED.L2_HIT * ( 1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) )) + cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ ) ) * (( CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS ) / CPU_CLK_UNHALTED.THREAD)) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) )",
- "MetricGroup": "Mem;MemoryLat;Offcore_SMT",
- "MetricName": "Memory_Latency_SMT"
- },
{
"BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) * ( ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (min( 9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE , max( CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS , 0 ) ) / CPU_CLK_UNHALTED.THREAD) / (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) + ( (EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) ) * ( (( 9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE ) / CPU_CLK_UNHALTED.THREAD) / #(EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) ) ) ",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency))) ",
"MetricGroup": "Mem;MemoryTLB;Offcore",
"MetricName": "Memory_Data_TLBs"
},
- {
- "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
- "MetricExpr": "100 * ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * ( ( (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) / ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (min( 9 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE , max( CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS , 0 ) ) / CPU_CLK_UNHALTED.THREAD) / (max( ( CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS ) / CPU_CLK_UNHALTED.THREAD , 0 )) ) + ( (EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) / #((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) ) * ( (( 9 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / #(EXE_ACTIVITY.BOUND_ON_STORES / CPU_CLK_UNHALTED.THREAD) ) ) ",
- "MetricGroup": "Mem;MemoryTLB;Offcore_SMT",
- "MetricName": "Memory_Data_TLBs_SMT"
- },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) ) / (4 * CPU_CLK_UNHALTED.THREAD))",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - (BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
- {
- "BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.CONDITIONAL + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))",
- "MetricGroup": "Ret_SMT",
- "MetricName": "Branching_Overhead_SMT"
- },
{
"BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
"MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
"MetricName": "Big_Code"
},
- {
- "BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))",
- "MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB_SMT",
- "MetricName": "Big_Code_SMT"
- },
{
"BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
- "MetricExpr": "100 * ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) - (100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)))",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
"MetricGroup": "Fed;FetchBW;Frontend",
"MetricName": "Instruction_Fetch_BW"
},
- {
- "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
- "MetricExpr": "100 * ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) - (100 * (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (( ICACHE_16B.IFDATA_STALL + 2 * cpu@ICACHE_16B.IFDATA_STALL\\,cmask\\=1\\,edge@ ) / CPU_CLK_UNHALTED.THREAD) + (9 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))",
- "MetricGroup": "Fed;FetchBW;Frontend_SMT",
- "MetricName": "Instruction_Fetch_BW_SMT"
- },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -160,8 +623,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -172,16 +635,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -191,63 +648,38 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
- {
- "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Cor;Flops;HPC_SMT",
- "MetricName": "FP_Arith_Utilization_SMT",
- "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common). SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
- "MetricExpr": "( 1 - ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)))) / ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) if ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - ( UOPS_ISSUED.ANY + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)))) < ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) else 1 ) if 0 > 0.5 else 0",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
"MetricGroup": "Cor;SMT",
"MetricName": "Core_Bound_Likely"
},
- {
- "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
- "MetricExpr": "( 1 - ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))) / ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) if ((1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ((( CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES ) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * (1 - (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - ( UOPS_ISSUED.ANY + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))))) < ((EXE_ACTIVITY.EXE_BOUND_0_PORTS + (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL)) / CPU_CLK_UNHALTED.THREAD if ( ARITH.DIVIDER_ACTIVE < ( CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY ) ) else (EXE_ACTIVITY.1_PORTS_UTIL + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * EXE_ACTIVITY.2_PORTS_UTIL) / CPU_CLK_UNHALTED.THREAD) else 1 ) if (1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 )) > 0.5 else 0",
- "MetricGroup": "Cor;SMT_SMT",
- "MetricName": "Core_Bound_Likely_SMT"
- },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -289,13 +721,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -316,14 +748,14 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -335,9 +767,9 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -372,16 +804,10 @@
},
{
"BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
- "MetricExpr": "100 * ( (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * (DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + ((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))) * (( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / CPU_CLK_UNHALTED.THREAD / 2) / #((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD))) )",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_mite))",
"MetricGroup": "DSBmiss;Fed",
"MetricName": "DSB_Misses"
},
- {
- "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
- "MetricExpr": "100 * ( (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * (DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + ((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) * (( IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) / 2) / #((IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) - (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) )",
- "MetricGroup": "DSBmiss;Fed_SMT",
- "MetricName": "DSB_Misses_SMT"
- },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -396,16 +822,10 @@
},
{
"BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) * (4 * CPU_CLK_UNHALTED.THREAD) / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;BrMispredicts",
"MetricName": "Branch_Misprediction_Cost"
},
- {
- "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * INT_MISC.CLEAR_RESTEER_CYCLES / CPU_CLK_UNHALTED.THREAD) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) * (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / BR_MISP_RETIRED.ALL_BRANCHES",
- "MetricGroup": "Bad;BrMispredicts_SMT",
- "MetricName": "Branch_Misprediction_Cost_SMT"
- },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.NOT_TAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -414,101 +834,95 @@
},
{
"BriefDescription": "Fraction of branches that are taken conditionals",
- "MetricExpr": "( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches;CodeGen;PGO",
"MetricName": "Cond_TK"
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
{
"BriefDescription": "Fraction of branches that are unconditional (direct or indirect) jumps",
- "MetricExpr": "(BR_INST_RETIRED.NEAR_TAKEN - ( BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN ) - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_TAKEN - (BR_INST_RETIRED.CONDITIONAL - BR_INST_RETIRED.NOT_TAKEN) - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "Jump"
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING + EPT.WALK_PENDING ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -535,25 +949,25 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -565,26 +979,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -602,7 +1016,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 21/22] perf vendor events: Update Intel tigerlake
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (19 preceding siblings ...)
2022-09-28 7:22 ` [PATCH v1 20/22] perf vendor events: Update Intel skylake Ian Rogers
@ 2022-09-28 7:22 ` Ian Rogers
2022-09-28 7:22 ` [PATCH v1 22/22] perf vendor events: Update Intel broadwellde Ian Rogers
2022-09-28 12:56 ` [PATCH v1 00/22] Improvements to Intel perf metrics Liang, Kan
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:22 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v1.07, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- Addition of all 6 levels of TMA metrics. Previously metrics
involving topdown events were dropped. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/tigerlake/tgl-metrics.json | 727 ++++++++++++++++--
1 file changed, 679 insertions(+), 48 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/tigerlake/tgl-metrics.json b/tools/perf/pmu-events/arch/x86/tigerlake/tgl-metrics.json
index 03c97bd74ad9..e6f5103bbac3 100644
--- a/tools/perf/pmu-events/arch/x86/tigerlake/tgl-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/tigerlake/tgl-metrics.json
@@ -1,26 +1,633 @@
[
+ {
+ "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
+ "MetricExpr": "topdown\\-fe\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "(5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING) / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "ICACHE_16B.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "ICACHE_64B.IFTAG_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "(1 - (BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT))) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "10 * BACLEARS.ANY / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: BACLEARS.ANY"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "max(0, tma_frontend_bound - tma_fetch_latency)",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.MITE_CYCLES_ANY - IDQ.MITE_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
+ "MetricExpr": "(cpu@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_decoder0_alone"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where (only) 4 uops were delivered by the MITE pipeline",
+ "MetricExpr": "(cpu@IDQ.MITE_UOPS\\,cmask\\=4@ - cpu@IDQ.MITE_UOPS\\,cmask\\=5@) / CLKS",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
+ "MetricName": "tma_mite_4wide"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.DSB_CYCLES_ANY - IDQ.DSB_CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit",
+ "MetricExpr": "(LSD.CYCLES_ACTIVE - LSD.CYCLES_OK) / CORE_CLKS / 2",
+ "MetricGroup": "FetchBW;LSD;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_lsd",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit. LSD typically does well sustaining Uop supply. However; in some rare cases; optimal uop-delivery could not be reached for small loops whose size (in terms of number of uops) does not suit well the LSD structure."
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
+ "MetricExpr": "max(1 - (tma_frontend_bound + tma_backend_bound + tma_retiring), 0)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
+ "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "max(0, tma_bad_speculation - tma_branch_mispredicts)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
+ "MetricExpr": "topdown\\-be\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) + (5 * cpu@INT_MISC.RECOVERY_CYCLES\\,cmask\\=1\\,edge@) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
+ "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + EXE_ACTIVITY.BOUND_ON_STORES) / (CYCLE_ACTIVITY.STALLS_TOTAL + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) + EXE_ACTIVITY.BOUND_ON_STORES)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "min(7 * cpu@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - CYCLE_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
+ "MetricName": "tma_load_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(16 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (10 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "L1D_PEND_MISS.FB_FULL / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) / ((MEM_LOAD_RETIRED.L2_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS))) + L1D_PEND_MISS.FB_FULL_PERIODS)) * ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L2_MISS - CYCLE_ACTIVITY.STALLS_L3_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "((49 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD))) + (48 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "(48 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD + MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (1 - (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "(17.5 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "L1D_PEND_MISS.L2_STALL / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L3_MISS / CLKS + ((CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS) - tma_l2_bound)",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 10 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "(54 * Average_Frequency) * OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores",
+ "MetricExpr": "9 * OCR.STREAMING_WR.ANY_RESPONSE / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_streaming_stores",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should Streaming stores be a bottleneck. Sample with: OCR.STREAMING_WR.ANY_RESPONSE"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(7 * cpu@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
+ "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_hit"
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
+ "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
+ "MetricName": "tma_store_stlb_miss"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "max(0, tma_backend_bound - tma_memory_bound)",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "(cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * EXE_ACTIVITY.2_PORTS_UTIL) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "cpu@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ / CLKS + tma_serializing_operation * (CYCLE_ACTIVITY.STALLS_TOTAL - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
+ "MetricExpr": "RESOURCE_STALLS.SCOREBOARD / CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_serializing_operation",
+ "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: RESOURCE_STALLS.SCOREBOARD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
+ "MetricExpr": "140 * MISC_RETIRED.PAUSE_INST / CLKS",
+ "MetricGroup": "TopdownL6;tma_serializing_operation_group",
+ "MetricName": "tma_slow_pause",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: MISC_RETIRED.PAUSE_INST"
+ },
+ {
+ "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
+ "MetricExpr": "CLKS * UOPS_ISSUED.VECTOR_WIDTH_MISMATCH / UOPS_ISSUED.ANY",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
+ "MetricName": "tma_mixing_vectors",
+ "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.1_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "EXE_ACTIVITY.2_PORTS_UTIL / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "UOPS_EXECUTED.CYCLES_GE_3 / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_0 + UOPS_DISPATCHED.PORT_1 + UOPS_DISPATCHED.PORT_5 + UOPS_DISPATCHED.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU) Sample with: UOPS_DISPATCHED.PORT_5",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3",
+ "MetricExpr": "UOPS_DISPATCHED.PORT_2_3 / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
+ "MetricExpr": "(UOPS_DISPATCHED.PORT_4_9 + UOPS_DISPATCHED.PORT_7_8) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
+ "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "max(0, tma_retiring - tma_heavy_operations)",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_512b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 512-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
+ "MetricExpr": "tma_light_operations * MEM_INST_RETIRED.ANY / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_memory_operations"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions.",
+ "MetricExpr": "tma_light_operations * BR_INST_RETIRED.ALL_BRANCHES / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_branch_instructions"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
+ "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / (tma_retiring * SLOTS)",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_nop_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP"
+ },
+ {
+ "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
+ "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_memory_operations + tma_branch_instructions + tma_nop_instructions))",
+ "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_other_light_ops"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer + tma_retiring * (UOPS_DECODED.DEC0 - cpu@UOPS_DECODED.DEC0\\,cmask\\=1@) / IDQ.MITE_UOPS",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
+ "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
+ "MetricGroup": "TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_few_uops_instructions",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "((tma_retiring * SLOTS) / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * ASSISTS.ANY / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
+ "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
+ "MetricGroup": "Bad;BadSpec;BrMispredicts",
+ "MetricName": "Mispredictions"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_fb_full / (tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
+ "MetricGroup": "Mem;MemoryBW;Offcore",
+ "MetricName": "Memory_Bandwidth"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)))",
+ "MetricGroup": "Mem;MemoryLat;Offcore",
+ "MetricName": "Memory_Latency"
+ },
+ {
+ "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
+ "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_4k_aliasing + tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency + tma_streaming_stores))) ",
+ "MetricGroup": "Mem;MemoryTLB;Offcore",
+ "MetricName": "Memory_Data_TLBs"
+ },
{
"BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
- "MetricExpr": "100 * (( BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * ((BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
"MetricGroup": "Ret",
"MetricName": "Branching_Overhead"
},
{
"BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
- "MetricExpr": "100 * (( 5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING ) / TOPDOWN.SLOTS) * ( (ICACHE_64B.IFTAG_STALL / CPU_CLK_UNHALTED.THREAD) + (ICACHE_16B.IFDATA_STALL / CPU_CLK_UNHALTED.THREAD) + (10 * BACLEARS.ANY / CPU_CLK_UNHALTED.THREAD) ) / #(( 5 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE - INT_MISC.UOP_DROPPING ) / TOPDOWN.SLOTS)",
+ "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
"MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
"MetricName": "Big_Code"
},
+ {
+ "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
+ "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
+ "MetricGroup": "Fed;FetchBW;Frontend",
+ "MetricName": "Instruction_Fetch_BW"
+ },
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
+ {
+ "BriefDescription": "Uops Per Instruction",
+ "MetricExpr": "(tma_retiring * SLOTS) / INST_RETIRED.ANY",
+ "MetricGroup": "Pipeline;Ret;Retire",
+ "MetricName": "UPI"
+ },
+ {
+ "BriefDescription": "Instruction per taken branch",
+ "MetricExpr": "(tma_retiring * SLOTS) / BR_INST_RETIRED.NEAR_TAKEN",
+ "MetricGroup": "Branches;Fed;FetchBW",
+ "MetricName": "UpTB"
+ },
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -32,13 +639,13 @@
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
"MetricExpr": "TOPDOWN.SLOTS",
- "MetricGroup": "TmaL1",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
{
"BriefDescription": "Fraction of Physical Core issue-slots utilized by this Logical Processor",
- "MetricExpr": "TOPDOWN.SLOTS / ( TOPDOWN.SLOTS / 2 ) if #SMT_on else 1",
- "MetricGroup": "SMT;TmaL1",
+ "MetricExpr": "SLOTS / (TOPDOWN.SLOTS / 2) if #SMT_on else 1",
+ "MetricGroup": "SMT;tma_L1_group",
"MetricName": "Slots_Utilization"
},
{
@@ -50,29 +657,35 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.DISTRIBUTED",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
+ {
+ "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
+ "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
+ "MetricGroup": "Cor;SMT",
+ "MetricName": "Core_Bound_Likely"
+ },
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
"MetricExpr": "CPU_CLK_UNHALTED.DISTRIBUTED",
@@ -117,13 +730,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -144,21 +757,21 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX512",
"PublicDescription": "Instructions per FP Arithmetic AVX 512-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
@@ -170,11 +783,17 @@
"MetricName": "IpSWPF"
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
+ {
+ "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
+ "MetricExpr": "(tma_retiring * SLOTS) / cpu@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
+ "MetricGroup": "Pipeline;Ret",
+ "MetricName": "Retire"
+ },
{
"BriefDescription": "",
"MetricExpr": "UOPS_EXECUTED.THREAD / cpu@UOPS_EXECUTED.THREAD\\,cmask\\=1@",
@@ -205,6 +824,12 @@
"MetricGroup": "DSBmiss",
"MetricName": "DSB_Switch_Cost"
},
+ {
+ "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
+ "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_lsd + tma_mite))",
+ "MetricGroup": "DSBmiss;Fed",
+ "MetricName": "DSB_Misses"
+ },
{
"BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
"MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
@@ -217,6 +842,12 @@
"MetricGroup": "Bad;BadSpec;BrMispredicts",
"MetricName": "IpMispredict"
},
+ {
+ "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricGroup": "Bad;BrMispredicts",
+ "MetricName": "Branch_Misprediction_Cost"
+ },
{
"BriefDescription": "Fraction of branches that are non-taken conditionals",
"MetricExpr": "BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES",
@@ -231,7 +862,7 @@
},
{
"BriefDescription": "Fraction of branches that are CALL or RET",
- "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
+ "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;Branches",
"MetricName": "CallRet"
},
@@ -243,80 +874,80 @@
},
{
"BriefDescription": "Fraction of branches of other types (not individually covered by other metrics in Info.Branches group)",
- "MetricExpr": "1 - ( (BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (BR_INST_RETIRED.COND_TAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES) + ((BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES) )",
+ "MetricExpr": "1 - (Cond_NT + Cond_TK + CallRet + Jump)",
"MetricGroup": "Bad;Branches",
"MetricName": "Other_Branches"
},
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_RETIRED.L1_MISS + MEM_LOAD_RETIRED.FB_HIT)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI_Load"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
"MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "FB_HPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
+ "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING) / (2 * CORE_CLKS)",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
@@ -346,25 +977,25 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Access_BW",
"MetricGroup": "Mem;MemoryBW;Offcore",
"MetricName": "L3_Cache_Access_BW_1T"
},
@@ -376,40 +1007,40 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * ( FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE ) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * (FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE) + 16 * FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0",
- "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL0_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License0_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for baseline license level 0. This includes non-AVX codes, SSE, AVX 128-bit, and low-current AVX 256-bit codes."
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1",
- "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL1_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License1_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 1. This includes high current AVX 256-bit instructions as well as low current AVX 512-bit instructions."
},
{
"BriefDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX)",
- "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CPU_CLK_UNHALTED.DISTRIBUTED",
+ "MetricExpr": "CORE_POWER.LVL2_TURBO_LICENSE / CORE_CLKS",
"MetricGroup": "Power",
"MetricName": "Power_License2_Utilization",
"PublicDescription": "Fraction of Core cycles where the core was running with power-delivery for license level 2 (introduced in SKX). This includes high current AVX 512-bit instructions."
@@ -434,7 +1065,7 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* [PATCH v1 22/22] perf vendor events: Update Intel broadwellde
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (20 preceding siblings ...)
2022-09-28 7:22 ` [PATCH v1 21/22] perf vendor events: Update Intel tigerlake Ian Rogers
@ 2022-09-28 7:22 ` Ian Rogers
2022-09-28 12:56 ` [PATCH v1 00/22] Improvements to Intel perf metrics Liang, Kan
22 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 7:22 UTC (permalink / raw)
To: Zhengjun Xing, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian, Ian Rogers
Events remain at v23, and the metrics are based on TMA 4.4 full.
Use script at:
https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
with updates at:
https://github.com/captain5050/event-converter-for-linux-perf
Updates include:
- Switch for core metrics from BDX to BDW.
- Switch for Page_Walks_Utilization to BDX version.
- Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
- Addition of all 6 levels of TMA metrics. Child metrics are placed in
a group named after their parent allowing children of a metric to
be easily measured using the metric name with a _group suffix.
- ## and ##? operators are correctly expanded.
- The locate-with column is added to the long description describing
a sampling event.
- Metrics are written in terms of other metrics to reduce the
expression size and increase readability.
Tested with 'perf test':
10: PMU events :
10.1: PMU event table sanity : Ok
10.2: PMU event map aliases : Ok
10.3: Parsing of PMU event table metrics : Ok
10.4: Parsing of PMU event table metrics with fake PMUs : Ok
Signed-off-by: Ian Rogers <irogers@google.com>
---
.../arch/x86/broadwellde/bdwde-metrics.json | 639 ++++++++++++++----
1 file changed, 506 insertions(+), 133 deletions(-)
diff --git a/tools/perf/pmu-events/arch/x86/broadwellde/bdwde-metrics.json b/tools/perf/pmu-events/arch/x86/broadwellde/bdwde-metrics.json
index b6fdf5ba2c9a..e66529775e6c 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellde/bdwde-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellde/bdwde-metrics.json
@@ -1,64 +1,486 @@
[
{
"BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Frontend_Bound",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound."
+ "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
+ "MetricGroup": "PGO;TopdownL1;tma_L1_group",
+ "MetricName": "tma_frontend_bound",
+ "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS"
},
{
- "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Frontend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+ "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
+ "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_latency",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
+ "MetricExpr": "ICACHE.IFDATA_STALL / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_icache_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+ "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ITLB_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_itlb_misses",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+ "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_branch_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+ "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_mispredicts_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+ "MetricExpr": "MACHINE_CLEARS.COUNT * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_clears_resteers",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+ "MetricExpr": "tma_branch_resteers - tma_mispredicts_resteers - tma_clears_resteers",
+ "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
+ "MetricName": "tma_unknown_branches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: FRONTEND_RETIRED.UNKNOWN_BRANCH"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+ "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
+ "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_dsb_switches",
+ "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+ "MetricExpr": "ILD_STALL.LCP / CLKS",
+ "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_lcp",
+ "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs."
+ },
+ {
+ "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+ "MetricExpr": "2 * IDQ.MS_SWITCHES / CLKS",
+ "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
+ "MetricName": "tma_ms_switches",
+ "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+ "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+ "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+ "MetricName": "tma_fetch_bandwidth",
+ "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+ "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_mite",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+ "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
+ "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
+ "MetricName": "tma_dsb",
+ "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here."
},
{
"BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Bad_Speculation",
+ "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ((INT_MISC.RECOVERY_CYCLES_ANY / 2) if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_bad_speculation",
"PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example."
},
{
- "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Bad_Speculation_SMT",
- "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+ "MetricExpr": "(BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT)) * tma_bad_speculation",
+ "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_branch_mispredicts",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: TOPDOWN.BR_MISPREDICT_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+ "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+ "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
+ "MetricName": "tma_machine_clears",
+ "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT"
},
{
"BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
- "MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD)) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)) )",
- "MetricGroup": "TopdownL1",
- "MetricName": "Backend_Bound",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound."
+ "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_backend_bound",
+ "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_MEM_ANY + RESOURCE_STALLS.SB) / (CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB)) * tma_backend_bound",
+ "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_memory_bound",
+ "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+ "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l1_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+ "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_LOAD_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_dtlb_load",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+ "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_store_fwd_blk",
+ "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+ "MetricExpr": "(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CLKS",
+ "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_lock_latency",
+ "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+ "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_split_loads",
+ "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+ "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CLKS",
+ "MetricGroup": "TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_4k_aliasing",
+ "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound)."
+ },
+ {
+ "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+ "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / CLKS",
+ "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
+ "MetricName": "tma_fb_full",
+ "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
+ "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l2_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
+ "MetricExpr": "(MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_MISS / CLKS",
+ "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_l3_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+ "MetricExpr": "(60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS)))) / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_contested_accesses",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+ "MetricExpr": "43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) / CLKS",
+ "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_data_sharing",
+ "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
+ "MetricExpr": "29 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + mem_load_uops_retired.hit_lfb / ((MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS) + MEM_LOAD_UOPS_RETIRED.L3_MISS))) / CLKS",
+ "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_l3_hit_latency",
+ "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS"
+ },
+ {
+ "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+ "MetricExpr": "((OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2) if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
+ "MetricName": "tma_sq_full",
+ "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore."
+ },
+ {
+ "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+ "MetricExpr": "(1 - (MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS))) * CYCLE_ACTIVITY.STALLS_L2_MISS / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_dram_bound",
+ "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
+ "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_bandwidth",
+ "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+ "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
+ "MetricName": "tma_mem_latency",
+ "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that)."
+ },
+ {
+ "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+ "MetricExpr": "RESOURCE_STALLS.SB / CLKS",
+ "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
+ "MetricName": "tma_store_bound",
+ "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+ "MetricExpr": "((L2_RQSTS.RFO_HIT * 9 * (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES))) + (1 - (MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
+ "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_store_latency",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+ "MetricExpr": "60 * OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
+ "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_false_sharing",
+ "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM"
+ },
+ {
+ "BriefDescription": "This metric represents rate of split store accesses",
+ "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
+ "MetricGroup": "TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_split_stores",
+ "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+ "MetricExpr": "(8 * DTLB_STORE_MISSES.STLB_HIT + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_STORE_MISSES.WALK_COMPLETED) / CLKS",
+ "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
+ "MetricName": "tma_dtlb_store",
+ "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+ "MetricExpr": "tma_backend_bound - tma_memory_bound",
+ "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
+ "MetricName": "tma_core_bound",
+ "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations)."
},
{
- "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "1 - ( (IDQ_UOPS_NOT_DELIVERED.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) + (UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) )",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Backend_Bound_SMT",
- "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+ "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
+ "MetricGroup": "TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_divider",
+ "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+ "MetricExpr": "((CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if (IPC > 1.8) else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else RESOURCE_STALLS.SB) - RESOURCE_STALLS.SB - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CLKS",
+ "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
+ "MetricName": "tma_ports_utilization",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@) / 2 if #SMT_on else (CYCLE_ACTIVITY.STALLS_TOTAL - RS_EVENTS.EMPTY_CYCLES if (tma_fetch_latency > 0.1) else 0) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_0",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_1",
+ "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_2",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL"
+ },
+ {
+ "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+ "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
+ "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
+ "MetricName": "tma_ports_utilized_3m",
+ "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / (4 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_alu_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
+ "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_0"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_1"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU)",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_5"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
+ "MetricName": "tma_port_6"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3_10",
+ "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_load_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads)",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_2"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads)",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_load_op_utilization_group",
+ "MetricName": "tma_port_3"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
+ "MetricName": "tma_store_op_utilization"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data)",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_4"
+ },
+ {
+ "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address)",
+ "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
+ "MetricGroup": "TopdownL6;tma_store_op_utilization_group",
+ "MetricName": "tma_port_7"
},
{
"BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "TopdownL1",
- "MetricName": "Retiring",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. "
+ "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
+ "MetricGroup": "TopdownL1;tma_L1_group",
+ "MetricName": "tma_retiring",
+ "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS"
},
{
- "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))",
- "MetricGroup": "TopdownL1_SMT",
- "MetricName": "Retiring_SMT",
- "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. SMT version; use when SMT is enabled and measuring per logical CPU."
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+ "MetricExpr": "tma_retiring - tma_heavy_operations",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_light_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST"
+ },
+ {
+ "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+ "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+ "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
+ "MetricName": "tma_fp_arith",
+ "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting."
+ },
+ {
+ "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+ "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_x87_use",
+ "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_scalar",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
+ "MetricName": "tma_fp_vector",
+ "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_128b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+ "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+ "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
+ "MetricName": "tma_fp_vector_256b",
+ "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
+ "MetricExpr": "tma_microcode_sequencer",
+ "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
+ "MetricName": "tma_heavy_operations",
+ "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences."
+ },
+ {
+ "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+ "MetricExpr": "(UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY) * IDQ.MS_UOPS / SLOTS",
+ "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
+ "MetricName": "tma_microcode_sequencer",
+ "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: UOPS_RETIRED.MS"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+ "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_assists",
+ "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY"
+ },
+ {
+ "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+ "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+ "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
+ "MetricName": "tma_cisc",
+ "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources."
},
{
"BriefDescription": "Instructions Per Cycle (per Logical Processor)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "INST_RETIRED.ANY / CLKS",
"MetricGroup": "Ret;Summary",
"MetricName": "IPC"
},
@@ -76,8 +498,8 @@
},
{
"BriefDescription": "Cycles Per Instruction (per Logical Processor)",
- "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
- "MetricGroup": "Pipeline;Mem",
+ "MetricExpr": "1 / IPC",
+ "MetricGroup": "Mem;Pipeline",
"MetricName": "CPI"
},
{
@@ -88,16 +510,10 @@
},
{
"BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "TmaL1",
+ "MetricExpr": "4 * CORE_CLKS",
+ "MetricGroup": "tma_L1_group",
"MetricName": "SLOTS"
},
- {
- "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
- "MetricExpr": "4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "TmaL1_SMT",
- "MetricName": "SLOTS_SMT"
- },
{
"BriefDescription": "The ratio of Executed- by Issued-Uops",
"MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
@@ -107,51 +523,32 @@
},
{
"BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;SMT;TmaL1",
+ "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
+ "MetricGroup": "Ret;SMT;tma_L1_group",
"MetricName": "CoreIPC"
},
- {
- "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
- "MetricExpr": "INST_RETIRED.ANY / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;SMT;TmaL1_SMT",
- "MetricName": "CoreIPC_SMT"
- },
{
"BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.THREAD",
- "MetricGroup": "Ret;Flops",
+ "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
+ "MetricGroup": "Flops;Ret",
"MetricName": "FLOPc"
},
- {
- "BriefDescription": "Floating Point Operations Per Cycle",
- "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Ret;Flops_SMT",
- "MetricName": "FLOPc_SMT"
- },
{
"BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * CPU_CLK_UNHALTED.THREAD )",
+ "MetricExpr": "((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "FP_Arith_Utilization",
"PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
},
- {
- "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). SMT version; use when SMT is enabled and measuring per logical CPU.",
- "MetricExpr": "( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) ) / ( 2 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) )",
- "MetricGroup": "Cor;Flops;HPC_SMT",
- "MetricName": "FP_Arith_Utilization_SMT",
- "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common). SMT version; use when SMT is enabled and measuring per logical CPU."
- },
{
"BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
- "MetricExpr": "UOPS_EXECUTED.THREAD / (( cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 ) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
+ "MetricExpr": "UOPS_EXECUTED.THREAD / ((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2) if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
"MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
"MetricName": "ILP"
},
{
"BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
- "MetricExpr": "( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
+ "MetricExpr": "((CPU_CLK_UNHALTED.THREAD / 2) * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK)) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2) if #SMT_on else CLKS",
"MetricGroup": "SMT",
"MetricName": "CORE_CLKS"
},
@@ -193,13 +590,13 @@
},
{
"BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;InsType",
"MetricName": "IpFLOP"
},
{
"BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) )",
+ "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
"MetricGroup": "Flops;InsType",
"MetricName": "IpArith",
"PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
@@ -220,22 +617,22 @@
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX128",
"PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
"BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
- "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
+ "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
"MetricGroup": "Flops;FpVector;InsType",
"MetricName": "IpArith_AVX256",
"PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
},
{
- "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
+ "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
"MetricExpr": "INST_RETIRED.ANY",
- "MetricGroup": "Summary;TmaL1",
+ "MetricGroup": "Summary;tma_L1_group",
"MetricName": "Instructions"
},
{
@@ -252,7 +649,7 @@
},
{
"BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
- "MetricExpr": "IDQ.DSB_UOPS / (( IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS ) )",
+ "MetricExpr": "IDQ.DSB_UOPS / ((IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS))",
"MetricGroup": "DSB;Fed;FetchBW",
"MetricName": "DSB_Coverage"
},
@@ -264,83 +661,71 @@
},
{
"BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * INT_MISC.RECOVERY_CYCLES ) / (4 * CPU_CLK_UNHALTED.THREAD))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) * (BR_MISP_RETIRED.ALL_BRANCHES * (12 * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / CPU_CLK_UNHALTED.THREAD) / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY )) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * CPU_CLK_UNHALTED.THREAD)) ) * (4 * CPU_CLK_UNHALTED.THREAD) / BR_MISP_RETIRED.ALL_BRANCHES",
+ "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
"MetricGroup": "Bad;BrMispredicts",
"MetricName": "Branch_Misprediction_Cost"
},
- {
- "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
- "MetricExpr": " ( ((BR_MISP_RETIRED.ALL_BRANCHES / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT )) * (( UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * ( INT_MISC.RECOVERY_CYCLES_ANY / 2 ) ) / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )))) + (4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) * (BR_MISP_RETIRED.ALL_BRANCHES * (12 * ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY ) / CPU_CLK_UNHALTED.THREAD) / ( BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY )) / #(4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ))) ) * (4 * ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )) / BR_MISP_RETIRED.ALL_BRANCHES",
- "MetricGroup": "Bad;BrMispredicts_SMT",
- "MetricName": "Branch_Misprediction_Cost_SMT"
- },
{
"BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
- "MetricExpr": "L1D_PEND_MISS.PENDING / ( MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb )",
+ "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + mem_load_uops_retired.hit_lfb)",
"MetricGroup": "Mem;MemoryBound;MemoryLat",
"MetricName": "Load_Miss_Real_Latency"
},
{
"BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
"MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
- "MetricGroup": "Mem;MemoryBound;MemoryBW",
+ "MetricGroup": "Mem;MemoryBW;MemoryBound",
"MetricName": "MLP"
},
{
"BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L1MPKI"
},
{
"BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;Backend;CacheMisses",
+ "MetricGroup": "Backend;CacheMisses;Mem",
"MetricName": "L2MPKI"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses;Offcore",
+ "MetricGroup": "CacheMisses;Mem;Offcore",
"MetricName": "L2MPKI_All"
},
{
"BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2MPKI_Load"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
- "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_All"
},
{
"BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
"MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L2HPKI_Load"
},
{
"BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
"MetricExpr": "1000 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
- "MetricGroup": "Mem;CacheMisses",
+ "MetricGroup": "CacheMisses;Mem",
"MetricName": "L3MPKI"
},
{
"BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
"MetricConstraint": "NO_NMI_WATCHDOG",
- "MetricExpr": "( cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / CPU_CLK_UNHALTED.THREAD",
+ "MetricExpr": "( ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / ( 2 * (( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) ) if #core_wide < 1 else ( CPU_CLK_UNHALTED.THREAD_ANY / 2 ) if #SMT_on else CPU_CLK_UNHALTED.THREAD) )",
"MetricGroup": "Mem;MemoryTLB",
"MetricName": "Page_Walks_Utilization"
},
- {
- "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
- "MetricExpr": "( cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ( DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED ) ) / ( ( CPU_CLK_UNHALTED.THREAD / 2 ) * ( 1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK ) )",
- "MetricGroup": "Mem;MemoryTLB_SMT",
- "MetricName": "Page_Walks_Utilization_SMT"
- },
{
"BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
"MetricExpr": "64 * L1D.REPLACEMENT / 1000000000 / duration_time",
@@ -361,19 +746,19 @@
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
- "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
+ "MetricExpr": "L1D_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L1D_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
- "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
+ "MetricExpr": "L2_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L2_Cache_Fill_BW_1T"
},
{
"BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
- "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
+ "MetricExpr": "L3_Cache_Fill_BW",
"MetricGroup": "Mem;MemoryBW",
"MetricName": "L3_Cache_Fill_BW_1T"
},
@@ -391,26 +776,26 @@
},
{
"BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
- "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
- "MetricGroup": "Summary;Power",
+ "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
+ "MetricGroup": "Power;Summary",
"MetricName": "Average_Frequency"
},
{
"BriefDescription": "Giga Floating Point Operations Per Second",
- "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
+ "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1000000000) / duration_time",
"MetricGroup": "Cor;Flops;HPC",
"MetricName": "GFLOPs",
"PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
},
{
"BriefDescription": "Average Frequency Utilization relative nominal frequency",
- "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
+ "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
"MetricGroup": "Power",
"MetricName": "Turbo_Utilization"
},
{
"BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
- "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / ( CPU_CLK_UNHALTED.REF_XCLK_ANY / 2 ) if #SMT_on else 0",
+ "MetricExpr": "1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0",
"MetricGroup": "SMT",
"MetricName": "SMT_2T_Utilization"
},
@@ -428,33 +813,21 @@
},
{
"BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
- "MetricExpr": "( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time",
+ "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
"MetricGroup": "HPC;Mem;MemoryBW;SoC",
"MetricName": "DRAM_BW_Use"
},
{
- "BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "1000000000 * ( cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182@ / cbox@event\\=0x35\\,umask\\=0x3\\,filter_opc\\=0x182@ ) / ( cbox_0@event\\=0x0@ / duration_time )",
- "MetricGroup": "Mem;MemoryLat;SoC",
- "MetricName": "MEM_Read_Latency"
- },
- {
- "BriefDescription": "Average number of parallel data read requests to external memory. Accounts for demand loads and L1/L2 prefetches",
- "MetricExpr": "cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182@ / cbox@event\\=0x36\\,umask\\=0x3\\,filter_opc\\=0x182\\,thresh\\=1@",
- "MetricGroup": "Mem;MemoryBW;SoC",
- "MetricName": "MEM_Parallel_Reads"
- },
- {
- "BriefDescription": "Socket actual clocks when any core is active on that socket",
- "MetricExpr": "cbox_0@event\\=0x0@",
- "MetricGroup": "SoC",
- "MetricName": "Socket_CLKS"
+ "BriefDescription": "Average latency of all requests to external memory (in Uncore cycles)",
+ "MetricExpr": "UNC_ARB_TRK_OCCUPANCY.ALL / arb@event\\=0x81\\,umask\\=0x1@",
+ "MetricGroup": "Mem;SoC",
+ "MetricName": "MEM_Request_Latency"
},
{
- "BriefDescription": "Uncore frequency per die [GHZ]",
- "MetricExpr": "cbox_0@event\\=0x0@ / #num_dies / duration_time / 1000000000",
- "MetricGroup": "SoC",
- "MetricName": "UNCORE_FREQ"
+ "BriefDescription": "Average number of parallel requests to external memory. Accounts for all requests",
+ "MetricExpr": "UNC_ARB_TRK_OCCUPANCY.ALL / arb@event\\=0x81\\,umask\\=0x1@",
+ "MetricGroup": "Mem;SoC",
+ "MetricName": "MEM_Parallel_Requests"
},
{
"BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
--
2.37.3.998.g577e59143f-goog
^ permalink raw reply related [flat|nested] 33+ messages in thread
* Re: [PATCH v1 05/22] perf vendor events: Update Intel alderlake
2022-09-28 7:21 ` [PATCH v1 05/22] perf vendor events: Update Intel alderlake Ian Rogers
@ 2022-09-28 8:22 ` Xing Zhengjun
2022-09-28 14:07 ` Arnaldo Carvalho de Melo
0 siblings, 1 reply; 33+ messages in thread
From: Xing Zhengjun @ 2022-09-28 8:22 UTC (permalink / raw)
To: Ian Rogers, Kan Liang, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Arnaldo Carvalho de Melo, Mark Rutland,
Alexander Shishkin, Jiri Olsa, Namhyung Kim, John Garry,
James Clark, Kajol Jain, Thomas Richter, Miaoqian Lin,
Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian
On 9/28/2022 3:21 PM, Ian Rogers wrote:
> Events are updated to v1.15, the core metrics are based on TMA 4.4
> full and the atom metrics on E-core TMA 2.2.
>
> Use script at:
> https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
> with updates at:
> https://github.com/captain5050/event-converter-for-linux-perf
>
> Updates include:
> - Rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
> - Addition of all 6 levels of TMA metrics. Previously metrics
> involving topdown events were dropped. Child metrics are placed in
> a group named after their parent allowing children of a metric to
> be easily measured using the metric name with a _group suffix.
> - ## and ##? operators are correctly expanded.
> - The locate-with column is added to the long description describing
> a sampling event.
> - Metrics are written in terms of other metrics to reduce the
> expression size and increase readability.
>
> Tested with 'perf test':
> 10: PMU events :
> 10.1: PMU event table sanity : Ok
> 10.2: PMU event map aliases : Ok
> 10.3: Parsing of PMU event table metrics : Ok
> 10.4: Parsing of PMU event table metrics with fake PMUs : Ok
>
> Signed-off-by: Ian Rogers <irogers@google.com>
> ---
> .../arch/x86/alderlake/adl-metrics.json | 1215 ++++++++++++++++-
> .../pmu-events/arch/x86/alderlake/cache.json | 129 +-
> .../arch/x86/alderlake/frontend.json | 12 +
> .../pmu-events/arch/x86/alderlake/memory.json | 22 +
> .../pmu-events/arch/x86/alderlake/other.json | 22 +
> .../arch/x86/alderlake/pipeline.json | 14 +-
> tools/perf/pmu-events/arch/x86/mapfile.csv | 2 +-
> 7 files changed, 1322 insertions(+), 94 deletions(-)
>
> diff --git a/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json b/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json
> index 095dd8c7f161..8d61eecf2fce 100644
> --- a/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json
> +++ b/tools/perf/pmu-events/arch/x86/alderlake/adl-metrics.json
> @@ -1,22 +1,764 @@
> [
> + {
> + "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
> + "MetricExpr": "topdown\\-fe\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS",
> + "MetricGroup": "PGO;TopdownL1;tma_L1_group",
> + "MetricName": "tma_frontend_bound",
> + "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound. Sample with: FRONTEND_RETIRED.LATENCY_GE_4_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
> + "MetricExpr": "(topdown\\-fetch\\-lat / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) - INT_MISC.UOP_DROPPING / SLOTS)",
> + "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
> + "MetricName": "tma_fetch_latency",
> + "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues. For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: FRONTEND_RETIRED.LATENCY_GE_16_PS;FRONTEND_RETIRED.LATENCY_GE_8_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses",
> + "MetricExpr": "ICACHE_DATA.STALLS / CLKS",
> + "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_fetch_latency_group",
> + "MetricName": "tma_icache_misses",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses. Sample with: FRONTEND_RETIRED.L2_MISS_PS;FRONTEND_RETIRED.L1I_MISS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
> + "MetricExpr": "ICACHE_TAG.STALLS / CLKS",
> + "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_fetch_latency_group",
> + "MetricName": "tma_itlb_misses",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: FRONTEND_RETIRED.STLB_MISS_PS;FRONTEND_RETIRED.ITLB_MISS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
> + "MetricExpr": "INT_MISC.CLEAR_RESTEER_CYCLES / CLKS + tma_unknown_branches",
> + "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
> + "MetricName": "tma_branch_resteers",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
> + "MetricExpr": "(tma_branch_mispredicts / tma_bad_speculation) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
> + "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_branch_resteers_group",
> + "MetricName": "tma_mispredicts_resteers",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
> + "MetricExpr": "(1 - (tma_branch_mispredicts / tma_bad_speculation)) * INT_MISC.CLEAR_RESTEER_CYCLES / CLKS",
> + "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_branch_resteers_group",
> + "MetricName": "tma_clears_resteers",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Sample with: INT_MISC.CLEAR_RESTEER_CYCLES",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
> + "MetricExpr": "INT_MISC.UNKNOWN_BRANCH_CYCLES / CLKS",
> + "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_branch_resteers_group",
> + "MetricName": "tma_unknown_branches",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit). Sample with: FRONTEND_RETIRED.UNKNOWN_BRANCH",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
> + "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CLKS",
> + "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_fetch_latency_group",
> + "MetricName": "tma_dsb_switches",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Sample with: FRONTEND_RETIRED.DSB_MISS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
> + "MetricExpr": "DECODE.LCP / CLKS",
> + "MetricGroup": "FetchLat;TopdownL3;tma_fetch_latency_group",
> + "MetricName": "tma_lcp",
> + "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
> + "MetricExpr": "3 * IDQ.MS_SWITCHES / CLKS",
> + "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_fetch_latency_group",
> + "MetricName": "tma_ms_switches",
> + "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: FRONTEND_RETIRED.MS_FLOWS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
> + "MetricExpr": "max(0, tma_frontend_bound - tma_fetch_latency)",
> + "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_frontend_bound_group",
> + "MetricName": "tma_fetch_bandwidth",
> + "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues. For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Sample with: FRONTEND_RETIRED.LATENCY_GE_2_BUBBLES_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_1_PS;FRONTEND_RETIRED.LATENCY_GE_2_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
> + "MetricExpr": "(IDQ.MITE_CYCLES_ANY - IDQ.MITE_CYCLES_OK) / CORE_CLKS / 2",
> + "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
> + "MetricName": "tma_mite",
> + "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck. Sample with: FRONTEND_RETIRED.ANY_DSB_MISS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles where decoder-0 was the only active decoder",
> + "MetricExpr": "(cpu_core@INST_DECODED.DECODERS\\,cmask\\=1@ - cpu_core@INST_DECODED.DECODERS\\,cmask\\=2@) / CORE_CLKS",
> + "MetricGroup": "DSBmiss;FetchBW;TopdownL4;tma_mite_group",
> + "MetricName": "tma_decoder0_alone",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
> + "MetricExpr": "(IDQ.DSB_CYCLES_ANY - IDQ.DSB_CYCLES_OK) / CORE_CLKS / 2",
> + "MetricGroup": "DSB;FetchBW;TopdownL3;tma_fetch_bandwidth_group",
> + "MetricName": "tma_dsb",
> + "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline. For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit",
> + "MetricExpr": "(LSD.CYCLES_ACTIVE - LSD.CYCLES_OK) / CORE_CLKS / 2",
> + "MetricGroup": "FetchBW;LSD;TopdownL3;tma_fetch_bandwidth_group",
> + "MetricName": "tma_lsd",
> + "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to LSD (Loop Stream Detector) unit. LSD typically does well sustaining Uop supply. However; in some rare cases; optimal uop-delivery could not be reached for small loops whose size (in terms of number of uops) does not suit well the LSD structure.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
> + "MetricExpr": "max(1 - (tma_frontend_bound + tma_backend_bound + tma_retiring), 0)",
> + "MetricGroup": "TopdownL1;tma_L1_group",
> + "MetricName": "tma_bad_speculation",
> + "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
> + "MetricExpr": "topdown\\-br\\-mispredict / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> + "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_bad_speculation_group",
> + "MetricName": "tma_branch_mispredicts",
> + "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction. These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: TOPDOWN.BR_MISPREDICT_SLOTS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
> + "MetricExpr": "max(0, tma_bad_speculation - tma_branch_mispredicts)",
> + "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_bad_speculation_group",
> + "MetricName": "tma_machine_clears",
> + "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears. These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
> + "MetricExpr": "topdown\\-be\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> + "MetricGroup": "TopdownL1;tma_L1_group",
> + "MetricName": "tma_backend_bound",
> + "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound. Sample with: TOPDOWN.BACKEND_BOUND_SLOTS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
> + "MetricExpr": "topdown\\-mem\\-bound / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> + "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_backend_bound_group",
> + "MetricName": "tma_memory_bound",
> + "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck. Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two).",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
> + "MetricExpr": "max((EXE_ACTIVITY.BOUND_ON_LOADS - MEMORY_ACTIVITY.STALLS_L1D_MISS) / CLKS, 0)",
> + "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
> + "MetricName": "tma_l1_bound",
> + "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache. The L1 data cache typically has the shortest latency. However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_RETIRED.L1_HIT_PS;MEM_LOAD_RETIRED.FB_HIT_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
> + "MetricExpr": "min(7 * cpu_core@DTLB_LOAD_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_LOAD_MISSES.WALK_ACTIVE, max(CYCLE_ACTIVITY.CYCLES_MEM_ANY - MEMORY_ACTIVITY.CYCLES_L1D_MISS, 0)) / CLKS",
> + "MetricGroup": "MemoryTLB;TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_dtlb_load",
> + "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_INST_RETIRED.STLB_MISS_LOADS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates the fraction of cycles where the (first level) DTLB was missed by load accesses, that later on hit in second-level TLB (STLB)",
> + "MetricExpr": "tma_dtlb_load - tma_load_stlb_miss",
> + "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
> + "MetricName": "tma_load_stlb_hit",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates the fraction of cycles where the Second-level TLB (STLB) was missed by load accesses, performing a hardware page walk",
> + "MetricExpr": "DTLB_LOAD_MISSES.WALK_ACTIVE / CLKS",
> + "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_load_group",
> + "MetricName": "tma_load_stlb_miss",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
> + "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / CLKS",
> + "MetricGroup": "TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_store_fwd_blk",
> + "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
> + "MetricExpr": "(16 * max(0, MEM_INST_RETIRED.LOCK_LOADS - L2_RQSTS.ALL_RFO) + (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES) * (10 * L2_RQSTS.RFO_HIT + min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO))) / CLKS",
> + "MetricGroup": "Offcore;TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_lock_latency",
> + "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_INST_RETIRED.LOCK_LOADS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
> + "MetricExpr": "Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CLKS",
> + "MetricGroup": "TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_split_loads",
> + "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_INST_RETIRED.SPLIT_LOADS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
> + "MetricExpr": "L1D_PEND_MISS.FB_FULL / CLKS",
> + "MetricGroup": "MemoryBW;TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_fb_full",
> + "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory).",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
> + "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L1D_MISS - MEMORY_ACTIVITY.STALLS_L2_MISS) / CLKS",
> + "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
> + "MetricName": "tma_l2_bound",
> + "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads. Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L2_HIT_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
> + "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L2_MISS - MEMORY_ACTIVITY.STALLS_L3_MISS) / CLKS",
> + "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
> + "MetricName": "tma_l3_bound",
> + "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core. Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
> + "MetricExpr": "((25 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD))) + (24 * Average_Frequency) * MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
> + "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_l3_bound_group",
> + "MetricName": "tma_contested_accesses",
> + "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
> + "MetricExpr": "(24 * Average_Frequency) * (MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD + MEM_LOAD_L3_HIT_RETIRED.XSNP_FWD * (1 - (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM / (OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM + OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD)))) * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
> + "MetricGroup": "Offcore;Snoop;TopdownL4;tma_l3_bound_group",
> + "MetricName": "tma_data_sharing",
> + "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_NO_FWD",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
> + "MetricExpr": "(9 * Average_Frequency) * MEM_LOAD_RETIRED.L3_HIT * (1 + (MEM_LOAD_RETIRED.FB_HIT / MEM_LOAD_RETIRED.L1_MISS) / 2) / CLKS",
> + "MetricGroup": "MemoryLat;TopdownL4;tma_l3_bound_group",
> + "MetricName": "tma_l3_hit_latency",
> + "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited). Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance. Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_RETIRED.L3_HIT_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
> + "MetricExpr": "(XQ.FULL_CYCLES + L1D_PEND_MISS.L2_STALLS) / CLKS",
> + "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_l3_bound_group",
> + "MetricName": "tma_sq_full",
> + "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
> + "MetricExpr": "(MEMORY_ACTIVITY.STALLS_L3_MISS / CLKS)",
> + "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
> + "MetricName": "tma_dram_bound",
> + "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_RETIRED.L3_MISS_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
> + "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu_core@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / CLKS",
> + "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_dram_bound_group",
> + "MetricName": "tma_mem_bandwidth",
> + "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM). The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that).",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
> + "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CLKS - tma_mem_bandwidth",
> + "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_dram_bound_group",
> + "MetricName": "tma_mem_latency",
> + "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM). This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that).",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
> + "MetricExpr": "EXE_ACTIVITY.BOUND_ON_STORES / CLKS",
> + "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_memory_bound_group",
> + "MetricName": "tma_store_bound",
> + "PublicDescription": "This metric estimates how often CPU was stalled due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_INST_RETIRED.ALL_STORES_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
> + "MetricExpr": "((MEM_STORE_RETIRED.L2_HIT * 10 * (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES))) + (1 - (MEM_INST_RETIRED.LOCK_LOADS / MEM_INST_RETIRED.ALL_STORES)) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CLKS",
> + "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_store_bound_group",
> + "MetricName": "tma_store_latency",
> + "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
> + "MetricExpr": "(28 * Average_Frequency) * OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM / CLKS",
> + "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_store_bound_group",
> + "MetricName": "tma_false_sharing",
> + "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: OCR.DEMAND_RFO.L3_HIT.SNOOP_HITM",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents rate of split store accesses",
> + "MetricExpr": "MEM_INST_RETIRED.SPLIT_STORES / CORE_CLKS",
> + "MetricGroup": "TopdownL4;tma_store_bound_group",
> + "MetricName": "tma_split_stores",
> + "PublicDescription": "This metric represents rate of split store accesses. Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_INST_RETIRED.SPLIT_STORES_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores",
> + "MetricExpr": "9 * OCR.STREAMING_WR.ANY_RESPONSE / CLKS",
> + "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_store_bound_group",
> + "MetricName": "tma_streaming_stores",
> + "PublicDescription": "This metric estimates how often CPU was stalled due to Streaming store memory accesses; Streaming store optimize out a read request required by RFO stores. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should Streaming stores be a bottleneck. Sample with: OCR.STREAMING_WR.ANY_RESPONSE",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
> + "MetricExpr": "(7 * cpu_core@DTLB_STORE_MISSES.STLB_HIT\\,cmask\\=1@ + DTLB_STORE_MISSES.WALK_ACTIVE) / CORE_CLKS",
> + "MetricGroup": "MemoryTLB;TopdownL4;tma_store_bound_group",
> + "MetricName": "tma_dtlb_store",
> + "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses. As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_INST_RETIRED.STLB_MISS_STORES_PS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates the fraction of cycles where the TLB was missed by store accesses, hitting in the second-level TLB (STLB)",
> + "MetricExpr": "tma_dtlb_store - tma_store_stlb_miss",
> + "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
> + "MetricName": "tma_store_stlb_hit",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates the fraction of cycles where the STLB was missed by store accesses, performing a hardware page walk",
> + "MetricExpr": "DTLB_STORE_MISSES.WALK_ACTIVE / CORE_CLKS",
> + "MetricGroup": "MemoryTLB;TopdownL5;tma_dtlb_store_group",
> + "MetricName": "tma_store_stlb_miss",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
> + "MetricExpr": "max(0, tma_backend_bound - tma_memory_bound)",
> + "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_backend_bound_group",
> + "MetricName": "tma_core_bound",
> + "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck. Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations).",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
> + "MetricExpr": "ARITH.DIVIDER_ACTIVE / CLKS",
> + "MetricGroup": "TopdownL3;tma_core_bound_group",
> + "MetricName": "tma_divider",
> + "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_ACTIVE",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
> + "MetricExpr": "(cpu_core@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ + (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * cpu_core@EXE_ACTIVITY.2_PORTS_UTIL\\,umask\\=0xc@)) / CLKS if (ARITH.DIVIDER_ACTIVE < (CYCLE_ACTIVITY.STALLS_TOTAL - EXE_ACTIVITY.BOUND_ON_LOADS)) else (EXE_ACTIVITY.1_PORTS_UTIL + tma_retiring * cpu_core@EXE_ACTIVITY.2_PORTS_UTIL\\,umask\\=0xc@) / CLKS",
> + "MetricGroup": "PortsUtil;TopdownL3;tma_core_bound_group",
> + "MetricName": "tma_ports_utilization",
> + "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related). Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
> + "MetricExpr": "cpu_core@EXE_ACTIVITY.3_PORTS_UTIL\\,umask\\=0x80@ / CLKS + tma_serializing_operation * (CYCLE_ACTIVITY.STALLS_TOTAL - EXE_ACTIVITY.BOUND_ON_LOADS) / CLKS",
> + "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
> + "MetricName": "tma_ports_utilized_0",
> + "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations",
> + "MetricExpr": "RESOURCE_STALLS.SCOREBOARD / CLKS",
> + "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
> + "MetricName": "tma_serializing_operation",
> + "PublicDescription": "This metric represents fraction of cycles the CPU issue-pipeline was stalled due to serializing operations. Instructions like CPUID; WRMSR or LFENCE serialize the out-of-order execution which may limit performance. Sample with: RESOURCE_STALLS.SCOREBOARD",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions",
> + "MetricExpr": "CPU_CLK_UNHALTED.PAUSE / CLKS",
> + "MetricGroup": "TopdownL6;tma_serializing_operation_group",
> + "MetricName": "tma_slow_pause",
> + "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to PAUSE Instructions. Sample with: CPU_CLK_UNHALTED.PAUSE_INST",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to LFENCE Instructions.",
> + "MetricExpr": "13 * MISC2_RETIRED.LFENCE / CLKS",
> + "MetricGroup": "TopdownL6;tma_serializing_operation_group",
> + "MetricName": "tma_memory_fence",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued",
> + "MetricExpr": "160 * ASSISTS.SSE_AVX_MIX / CLKS",
> + "MetricGroup": "TopdownL5;tma_ports_utilized_0_group",
> + "MetricName": "tma_mixing_vectors",
> + "PublicDescription": "The Mixing_Vectors metric gives the percentage of injected blend uops out of all uops issued. Usually a Mixing_Vectors over 5% is worth investigating. Read more in Appendix B1 of the Optimizations Guide for this topic.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
> + "MetricExpr": "EXE_ACTIVITY.1_PORTS_UTIL / CLKS",
> + "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
> + "MetricName": "tma_ports_utilized_1",
> + "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Sample with: EXE_ACTIVITY.1_PORTS_UTIL",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
> + "MetricExpr": "EXE_ACTIVITY.2_PORTS_UTIL / CLKS",
> + "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
> + "MetricName": "tma_ports_utilized_2",
> + "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Sample with: EXE_ACTIVITY.2_PORTS_UTIL",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
> + "MetricExpr": "UOPS_EXECUTED.CYCLES_GE_3 / CLKS",
> + "MetricGroup": "PortsUtil;TopdownL4;tma_ports_utilization_group",
> + "MetricName": "tma_ports_utilized_3m",
> + "PublicDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). Sample with: UOPS_EXECUTED.CYCLES_GE_3",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
> + "MetricExpr": "(UOPS_DISPATCHED.PORT_0 + UOPS_DISPATCHED.PORT_1 + UOPS_DISPATCHED.PORT_5_11 + UOPS_DISPATCHED.PORT_6) / (5 * CORE_CLKS)",
> + "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
> + "MetricName": "tma_alu_op_utilization",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch) Sample with: UOPS_DISPATCHED.PORT_0",
> + "MetricExpr": "UOPS_DISPATCHED.PORT_0 / CORE_CLKS",
> + "MetricGroup": "Compute;TopdownL6;tma_alu_op_utilization_group",
> + "MetricName": "tma_port_0",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU) Sample with: UOPS_DISPATCHED.PORT_1",
> + "MetricExpr": "UOPS_DISPATCHED.PORT_1 / CORE_CLKS",
> + "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
> + "MetricName": "tma_port_1",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU) Sample with: UOPS_DISPATCHED.PORT_6",
> + "MetricExpr": "UOPS_DISPATCHED.PORT_6 / CORE_CLKS",
> + "MetricGroup": "TopdownL6;tma_alu_op_utilization_group",
> + "MetricName": "tma_port_6",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations Sample with: UOPS_DISPATCHED.PORT_2_3_10",
> + "MetricExpr": "UOPS_DISPATCHED.PORT_2_3_10 / (3 * CORE_CLKS)",
> + "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
> + "MetricName": "tma_load_op_utilization",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations Sample with: UOPS_DISPATCHED.PORT_7_8",
> + "MetricExpr": "(UOPS_DISPATCHED.PORT_4_9 + UOPS_DISPATCHED.PORT_7_8) / (4 * CORE_CLKS)",
> + "MetricGroup": "TopdownL5;tma_ports_utilized_3m_group",
> + "MetricName": "tma_store_op_utilization",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
> + "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> + "MetricGroup": "TopdownL1;tma_L1_group",
> + "MetricName": "tma_retiring",
> + "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category. Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved. Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance. For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.SLOTS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
> + "MetricExpr": "max(0, tma_retiring - tma_heavy_operations)",
> + "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
> + "MetricName": "tma_light_operations",
> + "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
> + "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
> + "MetricGroup": "HPC;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_fp_arith",
> + "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
> + "MetricExpr": "tma_retiring * UOPS_EXECUTED.X87 / UOPS_EXECUTED.THREAD",
> + "MetricGroup": "Compute;TopdownL4;tma_fp_arith_group",
> + "MetricName": "tma_x87_use",
> + "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
> + "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
> + "MetricName": "tma_fp_scalar",
> + "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
> + "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Compute;Flops;TopdownL4;tma_fp_arith_group",
> + "MetricName": "tma_fp_vector",
> + "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
> + "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
> + "MetricName": "tma_fp_vector_128b",
> + "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
> + "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Compute;Flops;TopdownL5;tma_fp_vector_group",
> + "MetricName": "tma_fp_vector_256b",
> + "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents overall Integer (Int) select operations fraction the CPU has executed (retired)",
> + "MetricExpr": "tma_int_vector_128b + tma_int_vector_256b + tma_shuffles",
> + "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_int_operations",
> + "PublicDescription": "This metric represents overall Integer (Int) select operations fraction the CPU has executed (retired). Vector/Matrix Int operations and shuffles are counted. Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents 128-bit vector Integer ADD/SUB/SAD or VNNI (Vector Neural Network Instructions) uops fraction the CPU has retired.",
> + "MetricExpr": "(INT_VEC_RETIRED.ADD_128 + INT_VEC_RETIRED.VNNI_128) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Compute;IntVector;Pipeline;TopdownL4;tma_int_operations_group",
> + "MetricName": "tma_int_vector_128b",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents 256-bit vector Integer ADD/SUB/SAD or VNNI (Vector Neural Network Instructions) uops fraction the CPU has retired.",
> + "MetricExpr": "(INT_VEC_RETIRED.ADD_256 + INT_VEC_RETIRED.MUL_256 + INT_VEC_RETIRED.VNNI_256) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Compute;IntVector;Pipeline;TopdownL4;tma_int_operations_group",
> + "MetricName": "tma_int_vector_256b",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents Shuffle (cross \"vector lane\" data transfers) uops fraction the CPU has retired.",
> + "MetricExpr": "INT_VEC_RETIRED.SHUFFLES / (tma_retiring * SLOTS)",
> + "MetricGroup": "HPC;Pipeline;TopdownL4;tma_int_operations_group",
> + "MetricName": "tma_shuffles",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring memory operations -- uops for memory load or store accesses.",
> + "MetricExpr": "tma_light_operations * MEM_UOP_RETIRED.ANY / (tma_retiring * SLOTS)",
> + "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_memory_operations",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions",
> + "MetricExpr": "tma_light_operations * INST_RETIRED.MACRO_FUSED / (tma_retiring * SLOTS)",
> + "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_fused_instructions",
> + "PublicDescription": "This metric represents fraction of slots where the CPU was retiring fused instructions -- where one uop can represent multiple contiguous instructions. The instruction pairs of CMP+JCC or DEC+JCC are commonly used examples.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused",
> + "MetricExpr": "tma_light_operations * (BR_INST_RETIRED.ALL_BRANCHES - INST_RETIRED.MACRO_FUSED) / (tma_retiring * SLOTS)",
> + "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_non_fused_branches",
> + "PublicDescription": "This metric represents fraction of slots where the CPU was retiring branch instructions that were not fused. Non-conditional branches like direct JMP or CALL would count here. Can be used to examine fusible conditional jumps that were not fused.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions",
> + "MetricExpr": "tma_light_operations * INST_RETIRED.NOP / (tma_retiring * SLOTS)",
> + "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_nop_instructions",
> + "PublicDescription": "This metric represents fraction of slots where the CPU was retiring NOP (no op) instructions. Compilers often use NOPs for certain address alignments - e.g. start address of a function or loop body. Sample with: INST_RETIRED.NOP",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents the remaining light uops fraction the CPU has executed - remaining means not covered by other sibling nodes. May undercount due to FMA double counting",
> + "MetricExpr": "max(0, tma_light_operations - (tma_fp_arith + tma_int_operations + tma_memory_operations + tma_fused_instructions + tma_non_fused_branches + tma_nop_instructions))",
> + "MetricGroup": "Pipeline;TopdownL3;tma_light_operations_group",
> + "MetricName": "tma_other_light_ops",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
> + "MetricExpr": "topdown\\-heavy\\-ops / (topdown\\-fe\\-bound + topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> + "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_retiring_group",
> + "MetricName": "tma_heavy_operations",
> + "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences. Sample with: UOPS_RETIRED.HEAVY",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops",
> + "MetricExpr": "tma_heavy_operations - tma_microcode_sequencer",
> + "MetricGroup": "TopdownL3;tma_heavy_operations_group",
> + "MetricName": "tma_few_uops_instructions",
> + "PublicDescription": "This metric represents fraction of slots where the CPU was retiring instructions that that are decoder into two or up to ([SNB+] four; [ADL+] five) uops. This highly-correlates with the number of uops in such instructions.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
> + "MetricExpr": "UOPS_RETIRED.MS / SLOTS",
> + "MetricGroup": "MicroSeq;TopdownL3;tma_heavy_operations_group",
> + "MetricName": "tma_microcode_sequencer",
> + "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit. The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: UOPS_RETIRED.MS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
> + "MetricExpr": "100 * cpu_core@ASSISTS.ANY\\,umask\\=0x1B@ / SLOTS",
> + "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
> + "MetricName": "tma_assists",
> + "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: ASSISTS.ANY",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Page Faults",
> + "MetricExpr": "99 * ASSISTS.PAGE_FAULT / SLOTS",
> + "MetricGroup": "TopdownL5;tma_assists_group",
> + "MetricName": "tma_page_faults",
> + "PublicDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Page Faults. A Page Fault may apply on first application access to a memory page. Note operating system handling of page faults accounts for the majority of its cost.",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Floating Point (FP) Assists",
> + "MetricExpr": "30 * ASSISTS.FP / SLOTS",
> + "MetricGroup": "HPC;TopdownL5;tma_assists_group",
> + "MetricName": "tma_fp_assists",
> + "PublicDescription": "This metric roughly estimates fraction of slots the CPU retired uops as a result of handing Floating Point (FP) Assists. FP Assist may apply when working with very small floating point values (so-called denormals).",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of slots the CPU retired uops as a result of handing SSE to AVX* or AVX* to SSE transition Assists. ",
> + "MetricExpr": "63 * ASSISTS.SSE_AVX_MIX / SLOTS",
> + "MetricGroup": "HPC;TopdownL5;tma_assists_group",
> + "MetricName": "tma_avx_assists",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
> + "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
> + "MetricGroup": "TopdownL4;tma_microcode_sequencer_group",
> + "MetricName": "tma_cisc",
> + "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources. Sample with: FRONTEND_RETIRED.MS_FLOWS",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "Total pipeline cost of Branch Misprediction related bottlenecks",
> + "MetricExpr": "100 * (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches))",
> + "MetricGroup": "Bad;BadSpec;BrMispredicts",
> + "MetricName": "Mispredictions",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "Total pipeline cost of (external) Memory Bandwidth related bottlenecks",
> + "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_bandwidth / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_sq_full / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full))) + (tma_l1_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_fb_full / (tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) ",
> + "MetricGroup": "Mem;MemoryBW;Offcore",
> + "MetricName": "Memory_Bandwidth",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "Total pipeline cost of Memory Latency related bottlenecks (external memory and off-core caches)",
> + "MetricExpr": "100 * tma_memory_bound * ((tma_dram_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_mem_latency / (tma_mem_bandwidth + tma_mem_latency)) + (tma_l3_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_l3_hit_latency / (tma_contested_accesses + tma_data_sharing + tma_l3_hit_latency + tma_sq_full)) + (tma_l2_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)))",
> + "MetricGroup": "Mem;MemoryLat;Offcore",
> + "MetricName": "Memory_Latency",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "Total pipeline cost of Memory Address Translation related bottlenecks (data-side TLBs)",
> + "MetricExpr": "100 * tma_memory_bound * ((tma_l1_bound / max(tma_memory_bound, tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_load / max(tma_l1_bound, tma_dtlb_load + tma_fb_full + tma_lock_latency + tma_split_loads + tma_store_fwd_blk)) + (tma_store_bound / (tma_dram_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_store_bound)) * (tma_dtlb_store / (tma_dtlb_store + tma_false_sharing + tma_split_stores + tma_store_latency + tma_streaming_stores))) ",
> + "MetricGroup": "Mem;MemoryTLB;Offcore",
> + "MetricName": "Memory_Data_TLBs",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Total pipeline cost of branch related instructions (used for program control-flow including function calls)",
> - "MetricExpr": "100 * (( BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) ) / TOPDOWN.SLOTS)",
> + "MetricExpr": "100 * ((BR_INST_RETIRED.COND + 3 * BR_INST_RETIRED.NEAR_CALL + (BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL)) / SLOTS)",
> "MetricGroup": "Ret",
> "MetricName": "Branching_Overhead",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Total pipeline cost of instruction fetch related bottlenecks by large code footprint programs (i-side cache; TLB and BTB misses)",
> + "MetricExpr": "100 * tma_fetch_latency * (tma_itlb_misses + tma_icache_misses + tma_unknown_branches) / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)",
> + "MetricGroup": "BigFoot;Fed;Frontend;IcMiss;MemoryTLB",
> + "MetricName": "Big_Code",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "Total pipeline cost of instruction fetch bandwidth related bottlenecks",
> + "MetricExpr": "100 * (tma_frontend_bound - tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) - Big_Code",
> + "MetricGroup": "Fed;FetchBW;Frontend",
> + "MetricName": "Instruction_Fetch_BW",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Instructions Per Cycle (per Logical Processor)",
> - "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD",
> + "MetricExpr": "INST_RETIRED.ANY / CLKS",
> "MetricGroup": "Ret;Summary",
> "MetricName": "IPC",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Uops Per Instruction",
> + "MetricExpr": "(tma_retiring * SLOTS) / INST_RETIRED.ANY",
> + "MetricGroup": "Pipeline;Ret;Retire",
> + "MetricName": "UPI",
> + "Unit": "cpu_core"
> + },
> + {
> + "BriefDescription": "Instruction per taken branch",
> + "MetricExpr": "(tma_retiring * SLOTS) / BR_INST_RETIRED.NEAR_TAKEN",
> + "MetricGroup": "Branches;Fed;FetchBW",
> + "MetricName": "UpTB",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Cycles Per Instruction (per Logical Processor)",
> - "MetricExpr": "1 / (INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD)",
> - "MetricGroup": "Pipeline;Mem",
> + "MetricExpr": "1 / IPC",
> + "MetricGroup": "Mem;Pipeline",
> "MetricName": "CPI",
> "Unit": "cpu_core"
> },
> @@ -30,14 +772,14 @@
> {
> "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
> "MetricExpr": "TOPDOWN.SLOTS",
> - "MetricGroup": "TmaL1",
> + "MetricGroup": "tma_L1_group",
> "MetricName": "SLOTS",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Fraction of Physical Core issue-slots utilized by this Logical Processor",
> - "MetricExpr": "TOPDOWN.SLOTS / ( TOPDOWN.SLOTS / 2 ) if #SMT_on else 1",
> - "MetricGroup": "SMT;TmaL1",
> + "MetricExpr": "SLOTS / (TOPDOWN.SLOTS / 2) if #SMT_on else 1",
> + "MetricGroup": "SMT;tma_L1_group",
> "MetricName": "Slots_Utilization",
> "Unit": "cpu_core"
> },
> @@ -51,21 +793,21 @@
> },
> {
> "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
> - "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.DISTRIBUTED",
> - "MetricGroup": "Ret;SMT;TmaL1",
> + "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
> + "MetricGroup": "Ret;SMT;tma_L1_group",
> "MetricName": "CoreIPC",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Floating Point Operations Per Cycle",
> - "MetricExpr": "( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / CPU_CLK_UNHALTED.DISTRIBUTED",
> - "MetricGroup": "Ret;Flops",
> + "MetricExpr": "(1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
> + "MetricGroup": "Flops;Ret",
> "MetricName": "FLOPc",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
> - "MetricExpr": "( FP_ARITH_DISPATCHED.PORT_0 + FP_ARITH_DISPATCHED.PORT_1 + FP_ARITH_DISPATCHED.PORT_5 ) / ( 2 * CPU_CLK_UNHALTED.DISTRIBUTED )",
> + "MetricExpr": "(FP_ARITH_DISPATCHED.PORT_0 + FP_ARITH_DISPATCHED.PORT_1 + FP_ARITH_DISPATCHED.PORT_5) / (2 * CORE_CLKS)",
> "MetricGroup": "Cor;Flops;HPC",
> "MetricName": "FP_Arith_Utilization",
> "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common).",
> @@ -73,11 +815,18 @@
> },
> {
> "BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
> - "MetricExpr": "UOPS_EXECUTED.THREAD / (( UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2 ) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
> + "MetricExpr": "UOPS_EXECUTED.THREAD / ((UOPS_EXECUTED.CORE_CYCLES_GE_1 / 2) if #SMT_on else UOPS_EXECUTED.CORE_CYCLES_GE_1)",
> "MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
> "MetricName": "ILP",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Probability of Core Bound bottleneck hidden by SMT-profiling artifacts",
> + "MetricExpr": "(1 - tma_core_bound / tma_ports_utilization if tma_core_bound < tma_ports_utilization else 1) if SMT_2T_Utilization > 0.5 else 0",
> + "MetricGroup": "Cor;SMT",
> + "MetricName": "Core_Bound_Likely",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
> "MetricExpr": "CPU_CLK_UNHALTED.DISTRIBUTED",
> @@ -129,14 +878,14 @@
> },
> {
> "BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
> - "MetricExpr": "INST_RETIRED.ANY / ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
> + "MetricExpr": "INST_RETIRED.ANY / (1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
> "MetricGroup": "Flops;InsType",
> "MetricName": "IpFLOP",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
> - "MetricExpr": "INST_RETIRED.ANY / ( (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) )",
> + "MetricExpr": "INST_RETIRED.ANY / ((FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
> "MetricGroup": "Flops;InsType",
> "MetricName": "IpArith",
> "PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW.",
> @@ -160,7 +909,7 @@
> },
> {
> "BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
> - "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE )",
> + "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
> "MetricGroup": "Flops;FpVector;InsType",
> "MetricName": "IpArith_AVX128",
> "PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting.",
> @@ -168,7 +917,7 @@
> },
> {
> "BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
> - "MetricExpr": "INST_RETIRED.ANY / ( FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE )",
> + "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
> "MetricGroup": "Flops;FpVector;InsType",
> "MetricName": "IpArith_AVX256",
> "PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting.",
> @@ -182,12 +931,19 @@
> "Unit": "cpu_core"
> },
> {
> - "BriefDescription": "Total number of retired Instructions, Sample with: INST_RETIRED.PREC_DIST",
> + "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
> "MetricExpr": "INST_RETIRED.ANY",
> - "MetricGroup": "Summary;TmaL1",
> + "MetricGroup": "Summary;tma_L1_group",
> "MetricName": "Instructions",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
> + "MetricExpr": "(tma_retiring * SLOTS) / cpu_core@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
> + "MetricGroup": "Pipeline;Ret",
> + "MetricName": "Retire",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Estimated fraction of retirement-cycles dealing with repeat instructions",
> "MetricExpr": "INST_RETIRED.REP_ITERATION / cpu_core@UOPS_RETIRED.SLOTS\\,cmask\\=1@",
> @@ -237,6 +993,13 @@
> "MetricName": "DSB_Switch_Cost",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Total penalty related to DSB (uop cache) misses - subset of the Instruction_Fetch_BW Bottleneck.",
> + "MetricExpr": "100 * (tma_fetch_latency * tma_dsb_switches / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches) + tma_fetch_bandwidth * tma_mite / (tma_dsb + tma_lsd + tma_mite))",
> + "MetricGroup": "DSBmiss;Fed",
> + "MetricName": "DSB_Misses",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Number of Instructions per non-speculative DSB miss (lower number means higher occurrence rate)",
> "MetricExpr": "INST_RETIRED.ANY / FRONTEND_RETIRED.ANY_DSB_MISS",
> @@ -251,6 +1014,13 @@
> "MetricName": "IpMispredict",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
> + "MetricExpr": " (tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
> + "MetricGroup": "Bad;BrMispredicts",
> + "MetricName": "Branch_Misprediction_Cost",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Fraction of branches that are non-taken conditionals",
> "MetricExpr": "BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES",
> @@ -267,7 +1037,7 @@
> },
> {
> "BriefDescription": "Fraction of branches that are CALL or RET",
> - "MetricExpr": "( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES",
> + "MetricExpr": "(BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN) / BR_INST_RETIRED.ALL_BRANCHES",
> "MetricGroup": "Bad;Branches",
> "MetricName": "CallRet",
> "Unit": "cpu_core"
> @@ -281,7 +1051,7 @@
> },
> {
> "BriefDescription": "Fraction of branches of other types (not individually covered by other metrics in Info.Branches group)",
> - "MetricExpr": "1 - ( (BR_INST_RETIRED.COND_NTAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (BR_INST_RETIRED.COND_TAKEN / BR_INST_RETIRED.ALL_BRANCHES) + (( BR_INST_RETIRED.NEAR_CALL + BR_INST_RETIRED.NEAR_RETURN ) / BR_INST_RETIRED.ALL_BRANCHES) + ((BR_INST_RETIRED.NEAR_TAKEN - BR_INST_RETIRED.COND_TAKEN - 2 * BR_INST_RETIRED.NEAR_CALL) / BR_INST_RETIRED.ALL_BRANCHES) )",
> + "MetricExpr": "1 - (Cond_NT + Cond_TK + CallRet + Jump)",
> "MetricGroup": "Bad;Branches",
> "MetricName": "Other_Branches",
> "Unit": "cpu_core"
> @@ -296,77 +1066,77 @@
> {
> "BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
> "MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
> - "MetricGroup": "Mem;MemoryBound;MemoryBW",
> + "MetricGroup": "Mem;MemoryBW;MemoryBound",
> "MetricName": "MLP",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
> "MetricExpr": "1000 * MEM_LOAD_RETIRED.L1_MISS / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "L1MPKI",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L1 cache true misses per kilo instruction for all demand loads (including speculative)",
> "MetricExpr": "1000 * L2_RQSTS.ALL_DEMAND_DATA_RD / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "L1MPKI_Load",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
> "MetricExpr": "1000 * MEM_LOAD_RETIRED.L2_MISS / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;Backend;CacheMisses",
> + "MetricGroup": "Backend;CacheMisses;Mem",
> "MetricName": "L2MPKI",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
> "MetricExpr": "1000 * L2_RQSTS.MISS / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses;Offcore",
> + "MetricGroup": "CacheMisses;Mem;Offcore",
> "MetricName": "L2MPKI_All",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads (including speculative)",
> "MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "L2MPKI_Load",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
> - "MetricExpr": "1000 * ( L2_RQSTS.REFERENCES - L2_RQSTS.MISS ) / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricExpr": "1000 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "L2HPKI_All",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L2 cache hits per kilo instruction for all demand loads (including speculative)",
> "MetricExpr": "1000 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "L2HPKI_Load",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
> "MetricExpr": "1000 * MEM_LOAD_RETIRED.L3_MISS / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "L3MPKI",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Fill Buffer (FB) hits per kilo instructions for retired demand loads (L1D misses that merge into ongoing miss-handling entries)",
> "MetricExpr": "1000 * MEM_LOAD_RETIRED.FB_HIT / INST_RETIRED.ANY",
> - "MetricGroup": "Mem;CacheMisses",
> + "MetricGroup": "CacheMisses;Mem",
> "MetricName": "FB_HPKI",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
> "MetricConstraint": "NO_NMI_WATCHDOG",
> - "MetricExpr": "( ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING ) / ( 4 * CPU_CLK_UNHALTED.DISTRIBUTED )",
> + "MetricExpr": "(ITLB_MISSES.WALK_PENDING + DTLB_LOAD_MISSES.WALK_PENDING + DTLB_STORE_MISSES.WALK_PENDING) / (4 * CORE_CLKS)",
> "MetricGroup": "Mem;MemoryTLB",
> "MetricName": "Page_Walks_Utilization",
> "Unit": "cpu_core"
> @@ -401,28 +1171,28 @@
> },
> {
> "BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
> - "MetricExpr": "(64 * L1D.REPLACEMENT / 1000000000 / duration_time)",
> + "MetricExpr": "L1D_Cache_Fill_BW",
> "MetricGroup": "Mem;MemoryBW",
> "MetricName": "L1D_Cache_Fill_BW_1T",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
> - "MetricExpr": "(64 * L2_LINES_IN.ALL / 1000000000 / duration_time)",
> + "MetricExpr": "L2_Cache_Fill_BW",
> "MetricGroup": "Mem;MemoryBW",
> "MetricName": "L2_Cache_Fill_BW_1T",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
> - "MetricExpr": "(64 * LONGEST_LAT_CACHE.MISS / 1000000000 / duration_time)",
> + "MetricExpr": "L3_Cache_Fill_BW",
> "MetricGroup": "Mem;MemoryBW",
> "MetricName": "L3_Cache_Fill_BW_1T",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
> - "MetricExpr": "(64 * OFFCORE_REQUESTS.ALL_REQUESTS / 1000000000 / duration_time)",
> + "MetricExpr": "L3_Cache_Access_BW",
> "MetricGroup": "Mem;MemoryBW;Offcore",
> "MetricName": "L3_Cache_Access_BW_1T",
> "Unit": "cpu_core"
> @@ -436,14 +1206,14 @@
> },
> {
> "BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
> - "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC) * msr@tsc@ / 1000000000 / duration_time",
> - "MetricGroup": "Summary;Power",
> + "MetricExpr": "Turbo_Utilization * msr@tsc@ / 1000000000 / duration_time",
> + "MetricGroup": "Power;Summary",
> "MetricName": "Average_Frequency",
> "Unit": "cpu_core"
> },
> {
> "BriefDescription": "Giga Floating Point Operations Per Second",
> - "MetricExpr": "( ( 1 * ( FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE ) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * ( FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE ) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE ) / 1000000000 ) / duration_time",
> + "MetricExpr": "((1 * (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1000000000) / duration_time",
> "MetricGroup": "Cor;Flops;HPC",
> "MetricName": "GFLOPs",
> "PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine.",
> @@ -451,7 +1221,7 @@
> },
> {
> "BriefDescription": "Average Frequency Utilization relative nominal frequency",
> - "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC",
> + "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
> "MetricGroup": "Power",
> "MetricName": "Turbo_Utilization",
> "Unit": "cpu_core"
> @@ -479,7 +1249,7 @@
> },
> {
> "BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
> - "MetricExpr": "64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000",
> + "MetricExpr": "64 * (arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@) / 1000000 / duration_time / 1000",
> "MetricGroup": "HPC;Mem;MemoryBW;SoC",
> "MetricName": "DRAM_BW_Use",
> "Unit": "cpu_core"
> @@ -500,41 +1270,358 @@
> },
> {
> "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to frontend stalls.",
> - "MetricExpr": "TOPDOWN_FE_BOUND.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
> + "MetricExpr": "TOPDOWN_FE_BOUND.ALL / SLOTS",
> "MetricGroup": "TopdownL1",
> - "MetricName": "Frontend_Bound",
> + "MetricName": "tma_frontend_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to frontend bandwidth restrictions due to decode, predecode, cisc, and other limitations.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.FRONTEND_LATENCY / SLOTS",
> + "MetricGroup": "TopdownL2;tma_frontend_bound_group",
> + "MetricName": "tma_frontend_latency",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to instruction cache misses.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.ICACHE / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_latency_group",
> + "MetricName": "tma_icache",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to Instruction Table Lookaside Buffer (ITLB) misses.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.ITLB / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_latency_group",
> + "MetricName": "tma_itlb",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to BACLEARS, which occurs when the Branch Target Buffer (BTB) prediction or lack thereof, was corrected by a later branch predictor in the frontend",
> + "MetricExpr": "TOPDOWN_FE_BOUND.BRANCH_DETECT / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_latency_group",
> + "MetricName": "tma_branch_detect",
> + "PublicDescription": "Counts the number of issue slots that were not delivered by the frontend due to BACLEARS, which occurs when the Branch Target Buffer (BTB) prediction or lack thereof, was corrected by a later branch predictor in the frontend. Includes BACLEARS due to all branch types including conditional and unconditional jumps, returns, and indirect branches.",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to BTCLEARS, which occurs when the Branch Target Buffer (BTB) predicts a taken branch.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.BRANCH_RESTEER / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_latency_group",
> + "MetricName": "tma_branch_resteer",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to frontend bandwidth restrictions due to decode, predecode, cisc, and other limitations.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.FRONTEND_BANDWIDTH / SLOTS",
> + "MetricGroup": "TopdownL2;tma_frontend_bound_group",
> + "MetricName": "tma_frontend_bandwidth",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to the microcode sequencer (MS).",
> + "MetricExpr": "TOPDOWN_FE_BOUND.CISC / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
> + "MetricName": "tma_cisc",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to decode stalls.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.DECODE / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
> + "MetricName": "tma_decode",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to wrong predecodes.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.PREDECODE / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
> + "MetricName": "tma_predecode",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not delivered by the frontend due to other common frontend stalls not categorized.",
> + "MetricExpr": "TOPDOWN_FE_BOUND.OTHER / SLOTS",
> + "MetricGroup": "TopdownL3;tma_frontend_bandwidth_group",
> + "MetricName": "tma_other_fb",
> "Unit": "cpu_atom"
> },
> {
> "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend because allocation is stalled due to a mispredicted jump or a machine clear",
> - "MetricExpr": "TOPDOWN_BAD_SPECULATION.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
> + "MetricExpr": "(SLOTS - (TOPDOWN_FE_BOUND.ALL + TOPDOWN_BE_BOUND.ALL + TOPDOWN_RETIRING.ALL)) / SLOTS",
> "MetricGroup": "TopdownL1",
> - "MetricName": "Bad_Speculation",
> + "MetricName": "tma_bad_speculation",
> "PublicDescription": "Counts the total number of issue slots that were not consumed by the backend because allocation is stalled due to a mispredicted jump or a machine clear. Only issue slots wasted due to fast nukes such as memory ordering nukes are counted. Other nukes are not accounted for. Counts all issue slots blocked during this recovery window including relevant microcode flows and while uops are not yet available in the instruction queue (IQ). Also includes the issue slots that were consumed by the backend but were thrown away because they were younger than the mispredict or machine clear.",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to branch mispredicts.",
> + "MetricExpr": "TOPDOWN_BAD_SPECULATION.MISPREDICT / SLOTS",
> + "MetricGroup": "TopdownL2;tma_bad_speculation_group",
> + "MetricName": "tma_branch_mispredicts",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend because allocation is stalled due to a machine clear (nuke) of any kind including memory ordering and memory disambiguation.",
> + "MetricExpr": "TOPDOWN_BAD_SPECULATION.MACHINE_CLEARS / SLOTS",
> + "MetricGroup": "TopdownL2;tma_bad_speculation_group",
> + "MetricName": "tma_machine_clears",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to a machine clear (slow nuke).",
> + "MetricExpr": "TOPDOWN_BAD_SPECULATION.NUKE / SLOTS",
> + "MetricGroup": "TopdownL3;tma_machine_clears_group",
> + "MetricName": "tma_nuke",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to SMC. ",
> + "MetricExpr": "tma_nuke * (MACHINE_CLEARS.SMC / MACHINE_CLEARS.SLOW)",
> + "MetricGroup": "TopdownL4;tma_nuke_group",
> + "MetricName": "tma_smc",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to memory ordering. ",
> + "MetricExpr": "tma_nuke * (MACHINE_CLEARS.MEMORY_ORDERING / MACHINE_CLEARS.SLOW)",
> + "MetricGroup": "TopdownL4;tma_nuke_group",
> + "MetricName": "tma_memory_ordering",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to FP assists. ",
> + "MetricExpr": "tma_nuke * (MACHINE_CLEARS.FP_ASSIST / MACHINE_CLEARS.SLOW)",
> + "MetricGroup": "TopdownL4;tma_nuke_group",
> + "MetricName": "tma_fp_assist",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to memory disambiguation. ",
> + "MetricExpr": "tma_nuke * (MACHINE_CLEARS.DISAMBIGUATION / MACHINE_CLEARS.SLOW)",
> + "MetricGroup": "TopdownL4;tma_nuke_group",
> + "MetricName": "tma_disambiguation",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of machine clears relative to the number of nuke slots due to page faults. ",
> + "MetricExpr": "tma_nuke * (MACHINE_CLEARS.PAGE_FAULT / MACHINE_CLEARS.SLOW)",
> + "MetricGroup": "TopdownL4;tma_nuke_group",
> + "MetricName": "tma_page_fault",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to a machine clear classified as a fast nuke due to memory ordering, memory disambiguation and memory renaming.",
> + "MetricExpr": "TOPDOWN_BAD_SPECULATION.FASTNUKE / SLOTS",
> + "MetricGroup": "TopdownL3;tma_machine_clears_group",
> + "MetricName": "tma_fast_nuke",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls",
> - "MetricConstraint": "NO_NMI_WATCHDOG",
> - "MetricExpr": "TOPDOWN_BE_BOUND.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
> + "MetricExpr": "TOPDOWN_BE_BOUND.ALL / SLOTS",
> "MetricGroup": "TopdownL1",
> - "MetricName": "Backend_Bound",
> + "MetricName": "tma_backend_bound",
> "PublicDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls. Note that uops must be available for consumption in order for this event to count. If a uop is not available (IQ is empty), this event will not count. The rest of these subevents count backend stalls, in cycles, due to an outstanding request which is memory bound vs core bound. The subevents are not slot based events and therefore can not be precisely added or subtracted from the Backend_Bound_Aux subevents which are slot based.",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts the number of cycles due to backend bound stalls that are core execution bound and not attributed to outstanding demand load or store stalls. ",
> + "MetricExpr": "max(0, tma_backend_bound - tma_load_store_bound)",
> + "MetricGroup": "TopdownL2;tma_backend_bound_group",
> + "MetricName": "tma_core_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles the core is stalled due to stores or loads. ",
> + "MetricExpr": "min((TOPDOWN_BE_BOUND.ALL / SLOTS), (LD_HEAD.ANY_AT_RET / CLKS) + tma_store_bound)",
> + "MetricGroup": "TopdownL2;tma_backend_bound_group",
> + "MetricName": "tma_load_store_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles the core is stalled due to store buffer full.",
> + "MetricExpr": "tma_mem_scheduler * (MEM_SCHEDULER_BLOCK.ST_BUF / MEM_SCHEDULER_BLOCK.ALL)",
> + "MetricGroup": "TopdownL3;tma_load_store_bound_group",
> + "MetricName": "tma_store_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a load block.",
> + "MetricExpr": "LD_HEAD.L1_BOUND_AT_RET / CLKS",
> + "MetricGroup": "TopdownL3;tma_load_store_bound_group",
> + "MetricName": "tma_l1_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a store forward block.",
> + "MetricExpr": "LD_HEAD.ST_ADDR_AT_RET / CLKS",
> + "MetricGroup": "TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_store_fwd",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a first level TLB miss.",
> + "MetricExpr": "LD_HEAD.DTLB_MISS_AT_RET / CLKS",
> + "MetricGroup": "TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_stlb_hit",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a second level TLB miss requiring a page walk.",
> + "MetricExpr": "LD_HEAD.PGWALK_AT_RET / CLKS",
> + "MetricGroup": "TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_stlb_miss",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles that the oldest load of the load buffer is stalled at retirement due to a number of other load blocks.",
> + "MetricExpr": "LD_HEAD.OTHER_AT_RET / CLKS",
> + "MetricGroup": "TopdownL4;tma_l1_bound_group",
> + "MetricName": "tma_other_l1",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles a core is stalled due to a demand load which hit in the L2 Cache.",
> + "MetricExpr": "(MEM_BOUND_STALLS.LOAD_L2_HIT / CLKS) - (MEM_BOUND_STALLS_AT_RET_CORRECTION * MEM_BOUND_STALLS.LOAD_L2_HIT / MEM_BOUND_STALLS.LOAD)",
> + "MetricGroup": "TopdownL3;tma_load_store_bound_group",
> + "MetricName": "tma_l2_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles a core is stalled due to a demand load which hit in the Last Level Cache (LLC) or other core with HITE/F/M.",
> + "MetricExpr": "(MEM_BOUND_STALLS.LOAD_LLC_HIT / CLKS) - (MEM_BOUND_STALLS_AT_RET_CORRECTION * MEM_BOUND_STALLS.LOAD_LLC_HIT / MEM_BOUND_STALLS.LOAD)",
> + "MetricGroup": "TopdownL3;tma_load_store_bound_group",
> + "MetricName": "tma_l3_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles the core is stalled due to a demand load miss which hit in DRAM or MMIO (Non-DRAM).",
> + "MetricExpr": "(MEM_BOUND_STALLS.LOAD_DRAM_HIT / CLKS) - (MEM_BOUND_STALLS_AT_RET_CORRECTION * MEM_BOUND_STALLS.LOAD_DRAM_HIT / MEM_BOUND_STALLS.LOAD)",
> + "MetricGroup": "TopdownL3;tma_load_store_bound_group",
> + "MetricName": "tma_dram_bound",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles the core is stalled due to a demand load miss which hits in the L2, LLC, DRAM or MMIO (Non-DRAM) but could not be correctly attributed or cycles in which the load miss is waiting on a request buffer.",
> + "MetricExpr": "max(0, tma_load_store_bound - (tma_store_bound + tma_l1_bound + tma_l2_bound + tma_l3_bound + tma_dram_bound))",
> + "MetricGroup": "TopdownL3;tma_load_store_bound_group",
> + "MetricName": "tma_other_load_store",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls",
> - "MetricExpr": "(TOPDOWN_BE_BOUND.ALL / (5 * CPU_CLK_UNHALTED.CORE))",
> + "MetricExpr": "tma_backend_bound",
> "MetricGroup": "TopdownL1",
> - "MetricName": "Backend_Bound_Aux",
> + "MetricName": "tma_backend_bound_aux",
> "PublicDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls. Note that UOPS must be available for consumption in order for this event to count. If a uop is not available (IQ is empty), this event will not count. All of these subevents count backend stalls, in slots, due to a resource limitation. These are not cycle based events and therefore can not be precisely added or subtracted from the Backend_Bound subevents which are cycle based. These subevents are supplementary to Backend_Bound and can be used to analyze results from a resource perspective at allocation. ",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls",
> + "MetricExpr": "tma_backend_bound",
> + "MetricGroup": "TopdownL2;tma_backend_bound_aux_group",
> + "MetricName": "tma_resource_bound",
> + "PublicDescription": "Counts the total number of issue slots that were not consumed by the backend due to backend stalls. Note that uops must be available for consumption in order for this event to count. If a uop is not available (IQ is empty), this event will not count. ",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to memory reservation stalls in which a scheduler is not able to accept uops.",
> + "MetricExpr": "TOPDOWN_BE_BOUND.MEM_SCHEDULER / SLOTS",
> + "MetricGroup": "TopdownL3;tma_resource_bound_group",
> + "MetricName": "tma_mem_scheduler",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles, relative to the number of mem_scheduler slots, in which uops are blocked due to store buffer full",
> + "MetricExpr": "tma_mem_scheduler * (MEM_SCHEDULER_BLOCK.ST_BUF / MEM_SCHEDULER_BLOCK.ALL)",
> + "MetricGroup": "TopdownL4;tma_mem_scheduler_group",
> + "MetricName": "tma_st_buffer",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles, relative to the number of mem_scheduler slots, in which uops are blocked due to load buffer full",
> + "MetricExpr": "tma_mem_scheduler * MEM_SCHEDULER_BLOCK.LD_BUF / MEM_SCHEDULER_BLOCK.ALL",
> + "MetricGroup": "TopdownL4;tma_mem_scheduler_group",
> + "MetricName": "tma_ld_buffer",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cycles, relative to the number of mem_scheduler slots, in which uops are blocked due to RSV full relative ",
> + "MetricExpr": "tma_mem_scheduler * MEM_SCHEDULER_BLOCK.RSV / MEM_SCHEDULER_BLOCK.ALL",
> + "MetricGroup": "TopdownL4;tma_mem_scheduler_group",
> + "MetricName": "tma_rsv",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to IEC or FPC RAT stalls, which can be due to FIQ or IEC reservation stalls in which the integer, floating point or SIMD scheduler is not able to accept uops.",
> + "MetricExpr": "TOPDOWN_BE_BOUND.NON_MEM_SCHEDULER / SLOTS",
> + "MetricGroup": "TopdownL3;tma_resource_bound_group",
> + "MetricName": "tma_non_mem_scheduler",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to the physical register file unable to accept an entry (marble stalls).",
> + "MetricExpr": "TOPDOWN_BE_BOUND.REGISTER / SLOTS",
> + "MetricGroup": "TopdownL3;tma_resource_bound_group",
> + "MetricName": "tma_register",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to the reorder buffer being full (ROB stalls).",
> + "MetricExpr": "TOPDOWN_BE_BOUND.REORDER_BUFFER / SLOTS",
> + "MetricGroup": "TopdownL3;tma_resource_bound_group",
> + "MetricName": "tma_reorder_buffer",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to certain allocation restrictions.",
> + "MetricExpr": "TOPDOWN_BE_BOUND.ALLOC_RESTRICTIONS / SLOTS",
> + "MetricGroup": "TopdownL3;tma_resource_bound_group",
> + "MetricName": "tma_alloc_restriction",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of issue slots that were not consumed by the backend due to scoreboards from the instruction queue (IQ), jump execution unit (JEU), or microcode sequencer (MS).",
> + "MetricExpr": "TOPDOWN_BE_BOUND.SERIALIZATION / SLOTS",
> + "MetricGroup": "TopdownL3;tma_resource_bound_group",
> + "MetricName": "tma_serialization",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts the numer of issue slots that result in retirement slots. ",
> - "MetricExpr": "TOPDOWN_RETIRING.ALL / (5 * CPU_CLK_UNHALTED.CORE)",
> + "MetricExpr": "TOPDOWN_RETIRING.ALL / SLOTS",
> "MetricGroup": "TopdownL1",
> - "MetricName": "Retiring",
> + "MetricName": "tma_retiring",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of uops that are not from the microsequencer. ",
> + "MetricExpr": "(TOPDOWN_RETIRING.ALL - UOPS_RETIRED.MS) / SLOTS",
> + "MetricGroup": "TopdownL2;tma_retiring_group",
> + "MetricName": "tma_base",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of floating point operations per uop with all default weighting.",
> + "MetricExpr": "UOPS_RETIRED.FPDIV / SLOTS",
> + "MetricGroup": "TopdownL3;tma_base_group",
> + "MetricName": "tma_fp_uops",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of uops retired excluding ms and fp div uops.",
> + "MetricExpr": "(TOPDOWN_RETIRING.ALL - UOPS_RETIRED.MS - UOPS_RETIRED.FPDIV) / SLOTS",
> + "MetricGroup": "TopdownL3;tma_base_group",
> + "MetricName": "tma_other_ret",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of uops that are from the complex flows issued by the micro-sequencer (MS)",
> + "MetricExpr": "UOPS_RETIRED.MS / SLOTS",
> + "MetricGroup": "TopdownL2;tma_retiring_group",
> + "MetricName": "tma_ms_uops",
> + "PublicDescription": "Counts the number of uops that are from the complex flows issued by the micro-sequencer (MS). This includes uops from flows due to complex instructions, faults, assists, and inserted flows.",
> "Unit": "cpu_atom"
> },
> {
> @@ -551,19 +1638,19 @@
> },
> {
> "BriefDescription": "",
> - "MetricExpr": "5 * CPU_CLK_UNHALTED.CORE",
> + "MetricExpr": "5 * CLKS",
> "MetricName": "SLOTS",
> "Unit": "cpu_atom"
> },
> {
> "BriefDescription": "Instructions Per Cycle",
> - "MetricExpr": "INST_RETIRED.ANY / CPU_CLK_UNHALTED.CORE",
> + "MetricExpr": "INST_RETIRED.ANY / CLKS",
> "MetricName": "IPC",
> "Unit": "cpu_atom"
> },
> {
> "BriefDescription": "Cycles Per Instruction",
> - "MetricExpr": "CPU_CLK_UNHALTED.CORE / INST_RETIRED.ANY",
> + "MetricExpr": "CLKS / INST_RETIRED.ANY",
> "MetricName": "CPI",
> "Unit": "cpu_atom"
> },
> @@ -623,7 +1710,7 @@
> },
> {
> "BriefDescription": "Instructions per Far Branch",
> - "MetricExpr": "INST_RETIRED.ANY / ( BR_INST_RETIRED.FAR_BRANCH / 2 )",
> + "MetricExpr": "INST_RETIRED.ANY / (BR_INST_RETIRED.FAR_BRANCH / 2)",
> "MetricName": "IpFarBranch",
> "Unit": "cpu_atom"
> },
> @@ -665,7 +1752,7 @@
> },
> {
> "BriefDescription": "Average Frequency Utilization relative nominal frequency",
> - "MetricExpr": "CPU_CLK_UNHALTED.CORE / CPU_CLK_UNHALTED.REF_TSC",
> + "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
> "MetricName": "Turbo_Utilization",
> "Unit": "cpu_atom"
> },
> @@ -681,12 +1768,6 @@
> "MetricName": "CPU_Utilization",
> "Unit": "cpu_atom"
> },
> - {
> - "BriefDescription": "Estimated Pause cost. In percent",
> - "MetricExpr": "100 * SERIALIZATION.NON_C01_MS_SCB / (5 * CPU_CLK_UNHALTED.CORE)",
> - "MetricName": "Estimated_Pause_Cost",
> - "Unit": "cpu_atom"
> - },
> {
> "BriefDescription": "Cycle cost per L2 hit",
> "MetricExpr": "MEM_BOUND_STALLS.LOAD_L2_HIT / MEM_LOAD_UOPS_RETIRED.L2_HIT",
> @@ -707,19 +1788,19 @@
> },
> {
> "BriefDescription": "Percent of instruction miss cost that hit in the L2",
> - "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_L2_HIT / ( MEM_BOUND_STALLS.IFETCH )",
> + "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_L2_HIT / (MEM_BOUND_STALLS.IFETCH)",
> "MetricName": "Inst_Miss_Cost_L2Hit_Percent",
> "Unit": "cpu_atom"
> },
> {
> "BriefDescription": "Percent of instruction miss cost that hit in the L3",
> - "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_LLC_HIT / ( MEM_BOUND_STALLS.IFETCH )",
> + "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_LLC_HIT / (MEM_BOUND_STALLS.IFETCH)",
> "MetricName": "Inst_Miss_Cost_L3Hit_Percent",
> "Unit": "cpu_atom"
> },
> {
> "BriefDescription": "Percent of instruction miss cost that hit in DRAM",
> - "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_DRAM_HIT / ( MEM_BOUND_STALLS.IFETCH )",
> + "MetricExpr": "100 * MEM_BOUND_STALLS.IFETCH_DRAM_HIT / (MEM_BOUND_STALLS.IFETCH)",
> "MetricName": "Inst_Miss_Cost_DRAMHit_Percent",
> "Unit": "cpu_atom"
> },
> diff --git a/tools/perf/pmu-events/arch/x86/alderlake/cache.json b/tools/perf/pmu-events/arch/x86/alderlake/cache.json
> index 887dce4dfeba..2cc62d2779d2 100644
> --- a/tools/perf/pmu-events/arch/x86/alderlake/cache.json
> +++ b/tools/perf/pmu-events/arch/x86/alderlake/cache.json
> @@ -1,4 +1,28 @@
> [
> + {
> + "BriefDescription": "Counts the number of cacheable memory requests that miss in the LLC. Counts on a per core basis.",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0x2e",
> + "EventName": "LONGEST_LAT_CACHE.MISS",
> + "PEBScounters": "0,1,2,3,4,5",
> + "SampleAfterValue": "200003",
> + "Speculative": "1",
> + "UMask": "0x41",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts the number of cacheable memory requests that access the LLC. Counts on a per core basis.",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0x2e",
> + "EventName": "LONGEST_LAT_CACHE.REFERENCE",
> + "PEBScounters": "0,1,2,3,4,5",
> + "SampleAfterValue": "200003",
> + "Speculative": "1",
> + "UMask": "0x4f",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts the number of cycles the core is stalled due to an instruction cache or TLB miss which hit in the L2, LLC, DRAM or MMIO (Non-DRAM).",
> "CollectPEBSRecord": "2",
> @@ -210,8 +234,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 128 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_128",
> @@ -219,7 +243,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x80",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -227,8 +251,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 16 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_16",
> @@ -236,7 +260,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x10",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -244,8 +268,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 256 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_256",
> @@ -253,7 +277,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x100",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -261,8 +285,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 32 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_32",
> @@ -270,7 +294,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x20",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -278,8 +302,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 4 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_4",
> @@ -287,7 +311,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x4",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -295,8 +319,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 512 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_512",
> @@ -304,7 +328,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x200",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -312,8 +336,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 64 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_64",
> @@ -321,7 +345,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x40",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -329,8 +353,8 @@
> },
> {
> "BriefDescription": "Counts the number of tagged loads with an instruction latency that exceeds or equals the threshold of 8 cycles as defined in MEC_CR_PEBS_LD_LAT_THRESHOLD (3F6H). Only counts with PEBS enabled.",
> - "CollectPEBSRecord": "3",
> - "Counter": "0,1,2,3,4,5",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1",
> "Data_LA": "1",
> "EventCode": "0xd0",
> "EventName": "MEM_UOPS_RETIRED.LOAD_LATENCY_GT_8",
> @@ -338,7 +362,7 @@
> "MSRIndex": "0x3F6",
> "MSRValue": "0x8",
> "PEBS": "2",
> - "PEBScounters": "0,1,2,3,4,5",
> + "PEBScounters": "0,1",
> "SampleAfterValue": "1000003",
> "TakenAlone": "1",
> "UMask": "0x5",
> @@ -359,7 +383,7 @@
> },
> {
> "BriefDescription": "Counts the number of stores uops retired. Counts with or without PEBS enabled.",
> - "CollectPEBSRecord": "3",
> + "CollectPEBSRecord": "2",
> "Counter": "0,1,2,3,4,5",
> "Data_LA": "1",
> "EventCode": "0xd0",
> @@ -371,6 +395,61 @@
> "UMask": "0x6",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts demand data reads that were supplied by the L3 cache.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_DATA_RD.L3_HIT",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x3F803C0001",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts demand data reads that were supplied by the L3 cache where a snoop was sent, the snoop hit, and modified data was forwarded.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HITM",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x10003C0001",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts demand data reads that were supplied by the L3 cache where a snoop was sent, the snoop hit, but no data was forwarded.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_NO_FWD",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x4003C0001",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts demand data reads that were supplied by the L3 cache where a snoop was sent, the snoop hit, and non-modified data was forwarded.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_DATA_RD.L3_HIT.SNOOP_HIT_WITH_FWD",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x8003C0001",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> + {
> + "BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were supplied by the L3 cache.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_RFO.L3_HIT",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x3F803C0002",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were supplied by the L3 cache where a snoop was sent, the snoop hit, and modified data was forwarded.",
> "Counter": "0,1,2,3,4,5",
> diff --git a/tools/perf/pmu-events/arch/x86/alderlake/frontend.json b/tools/perf/pmu-events/arch/x86/alderlake/frontend.json
> index 2cfa70b2d5e1..da1a7ba0e568 100644
> --- a/tools/perf/pmu-events/arch/x86/alderlake/frontend.json
> +++ b/tools/perf/pmu-events/arch/x86/alderlake/frontend.json
> @@ -47,6 +47,18 @@
> "UMask": "0x1",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Cycles the Microcode Sequencer is busy.",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1,2,3",
> + "EventCode": "0x87",
> + "EventName": "DECODE.MS_BUSY",
> + "PEBScounters": "0,1,2,3",
> + "SampleAfterValue": "500009",
> + "Speculative": "1",
> + "UMask": "0x2",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "DSB-to-MITE switch true penalty cycles.",
> "CollectPEBSRecord": "2",
> diff --git a/tools/perf/pmu-events/arch/x86/alderlake/memory.json b/tools/perf/pmu-events/arch/x86/alderlake/memory.json
> index 586fb961e46d..f894e4a0212b 100644
> --- a/tools/perf/pmu-events/arch/x86/alderlake/memory.json
> +++ b/tools/perf/pmu-events/arch/x86/alderlake/memory.json
> @@ -82,6 +82,17 @@
> "UMask": "0x1",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts demand data reads that were not supplied by the L3 cache.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_DATA_RD.L3_MISS_LOCAL",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x3F84400001",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were not supplied by the L3 cache.",
> "Counter": "0,1,2,3,4,5",
> @@ -93,6 +104,17 @@
> "UMask": "0x1",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts demand reads for ownership (RFO) and software prefetches for exclusive ownership (PREFETCHW) that were not supplied by the L3 cache.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.DEMAND_RFO.L3_MISS_LOCAL",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x3F84400002",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Execution stalls while L3 cache miss demand load is outstanding.",
> "CollectPEBSRecord": "2",
> diff --git a/tools/perf/pmu-events/arch/x86/alderlake/other.json b/tools/perf/pmu-events/arch/x86/alderlake/other.json
> index 67a9c13cc71d..c49d8ce27310 100644
> --- a/tools/perf/pmu-events/arch/x86/alderlake/other.json
> +++ b/tools/perf/pmu-events/arch/x86/alderlake/other.json
> @@ -1,4 +1,15 @@
> [
> + {
> + "BriefDescription": "Counts modified writebacks from L1 cache and L2 cache that have any type of response.",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0xB7",
> + "EventName": "OCR.COREWB_M.ANY_RESPONSE",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x10008",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts demand data reads that have any type of response.",
> "Counter": "0,1,2,3,4,5",
> @@ -103,6 +114,17 @@
> "UMask": "0x1",
> "Unit": "cpu_core"
> },
> + {
> + "BriefDescription": "Counts demand data reads that were supplied by DRAM.",
> + "Counter": "0,1,2,3,4,5,6,7",
> + "EventCode": "0x2A,0x2B",
> + "EventName": "OCR.DEMAND_DATA_RD.DRAM",
> + "MSRIndex": "0x1a6,0x1a7",
> + "MSRValue": "0x184000001",
> + "SampleAfterValue": "100003",
> + "UMask": "0x1",
> + "Unit": "cpu_core"
> + },
> {
> "BriefDescription": "Counts demand read for ownership (RFO) requests and software prefetches for exclusive ownership (PREFETCHW) that have any type of response.",
> "Counter": "0,1,2,3,4,5,6,7",
> diff --git a/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json b/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json
> index d02e078a90c9..1a137f7f8b7e 100644
> --- a/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json
> +++ b/tools/perf/pmu-events/arch/x86/alderlake/pipeline.json
> @@ -330,6 +330,18 @@
> "UMask": "0x3",
> "Unit": "cpu_atom"
> },
> + {
> + "BriefDescription": "Counts the number of unhalted reference clock cycles at TSC frequency.",
> + "CollectPEBSRecord": "2",
> + "Counter": "0,1,2,3,4,5",
> + "EventCode": "0x3c",
> + "EventName": "CPU_CLK_UNHALTED.REF_TSC_P",
> + "PEBScounters": "0,1,2,3,4,5",
> + "SampleAfterValue": "2000003",
> + "Speculative": "1",
> + "UMask": "0x1",
> + "Unit": "cpu_atom"
> + },
> {
> "BriefDescription": "Counts the number of unhalted core clock cycles. (Fixed event)",
> "CollectPEBSRecord": "2",
> @@ -874,7 +886,7 @@
> "PEBScounters": "0,1,2,3,4,5,6,7",
> "SampleAfterValue": "100003",
> "Speculative": "1",
> - "UMask": "0x1f",
> + "UMask": "0x1b",
> "Unit": "cpu_core"
> },
> {
> diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
> index 7f2d777fd97f..594c6e96f0ce 100644
> --- a/tools/perf/pmu-events/arch/x86/mapfile.csv
> +++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
> @@ -1,5 +1,5 @@
> Family-model,Version,Filename,EventType
> -GenuineIntel-6-9[7A],v1.13,alderlake,core
> +GenuineIntel-6-(97|9A|B7|BA|BF),v1.15,alderlake,core
The commit description should mention this change "Add more CPUID
support for ADL"
> GenuineIntel-6-(1C|26|27|35|36),v4,bonnell,core
> GenuineIntel-6-(3D|47),v26,broadwell,core
> GenuineIntel-6-56,v23,broadwellde,core
--
Zhengjun Xing
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 00/22] Improvements to Intel perf metrics
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
` (21 preceding siblings ...)
2022-09-28 7:22 ` [PATCH v1 22/22] perf vendor events: Update Intel broadwellde Ian Rogers
@ 2022-09-28 12:56 ` Liang, Kan
2022-09-28 14:04 ` Ian Rogers
22 siblings, 1 reply; 33+ messages in thread
From: Liang, Kan @ 2022-09-28 12:56 UTC (permalink / raw)
To: Ian Rogers, Zhengjun Xing, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Arnaldo Carvalho de Melo,
Mark Rutland, Alexander Shishkin, Jiri Olsa, Namhyung Kim,
John Garry, James Clark, Kajol Jain, Thomas Richter,
Miaoqian Lin, Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian
On 2022-09-28 3:21 a.m., Ian Rogers wrote:
> For consistency with:
> https://github.com/intel/perfmon-metrics
> rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
>
If so, all the scripts with the old name must be broken on the existing
platforms. Can we keep both old name and new name for the existing
platforms?
For the event naming, if we want to rename an event. We still keep the
old name and mark it as deprecated in the existing platforms to maintain
compatibility.
Can we do the similar thing for metrics?
For the existing platforms, just add all the metrics from the
perfmon-metrics and don't change the existing metrics unless they have
errors.
Thanks,
Kan
> Remove _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode
> are correctly expanded in the single main metric. Fix perf expr to
> allow a double if to be correctly processed.
>
> Add all 6 levels of TMA metrics. Child metrics are placed in a group
> named after their parent allowing children of a metric to be
> easily measured using the metric name with a _group suffix.
>
> Don't drop TMA metrics if they contain topdown events.
>
> The ## and ##? operators are correctly expanded.
>
> The locate-with column is added to the long description describing a
> sampling event.
>
> Metrics are written in terms of other metrics to reduce the expression
> size and increase readability.
>
> Following this the pmu-events/arch/x86 directories match those created
> by the script at:
> https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
> with updates at:
> https://github.com/captain5050/event-converter-for-linux-perf
>
> Ian Rogers (22):
> perf expr: Allow a double if expression
> perf expr: Remove jevents case workaround
> perf metrics: Don't scale counts going into metrics
> perf vendor events: Update Intel skylakex
> perf vendor events: Update Intel alderlake
> perf vendor events: Update Intel broadwell
> perf vendor events: Update Intel broadwellx
> perf vendor events: Update Intel cascadelakex
> perf vendor events: Update elkhartlake cpuids
> perf vendor events: Update Intel haswell
> perf vendor events: Update Intel haswellx
> perf vendor events: Update Intel icelake
> perf vendor events: Update Intel icelakex
> perf vendor events: Update Intel ivybridge
> perf vendor events: Update Intel ivytown
> perf vendor events: Update Intel jaketown
> perf vendor events: Update Intel sandybridge
> perf vendor events: Update Intel sapphirerapids
> perf vendor events: Update silvermont cpuids
> perf vendor events: Update Intel skylake
> perf vendor events: Update Intel tigerlake
> perf vendor events: Update Intel broadwellde
>
> .../arch/x86/alderlake/adl-metrics.json | 1215 ++++++++++++++++-
> .../pmu-events/arch/x86/alderlake/cache.json | 129 +-
> .../arch/x86/alderlake/frontend.json | 12 +
> .../pmu-events/arch/x86/alderlake/memory.json | 22 +
> .../pmu-events/arch/x86/alderlake/other.json | 22 +
> .../arch/x86/alderlake/pipeline.json | 14 +-
> .../arch/x86/broadwell/bdw-metrics.json | 603 ++++++--
> .../arch/x86/broadwellde/bdwde-metrics.json | 639 +++++++--
> .../arch/x86/broadwellx/bdx-metrics.json | 644 +++++++--
> .../arch/x86/broadwellx/uncore-cache.json | 10 +-
> .../x86/broadwellx/uncore-interconnect.json | 18 +-
> .../arch/x86/broadwellx/uncore-memory.json | 18 +-
> .../arch/x86/cascadelakex/clx-metrics.json | 893 ++++++++----
> .../arch/x86/cascadelakex/uncore-memory.json | 18 +-
> .../arch/x86/cascadelakex/uncore-other.json | 10 +-
> .../pmu-events/arch/x86/haswell/cache.json | 4 +-
> .../pmu-events/arch/x86/haswell/frontend.json | 12 +-
> .../arch/x86/haswell/hsw-metrics.json | 502 +++++--
> .../pmu-events/arch/x86/haswellx/cache.json | 2 +-
> .../arch/x86/haswellx/frontend.json | 12 +-
> .../arch/x86/haswellx/hsx-metrics.json | 707 +++++++---
> .../x86/haswellx/uncore-interconnect.json | 18 +-
> .../arch/x86/haswellx/uncore-memory.json | 18 +-
> .../pmu-events/arch/x86/icelake/cache.json | 6 +-
> .../arch/x86/icelake/icl-metrics.json | 725 +++++++++-
> .../pmu-events/arch/x86/icelake/pipeline.json | 2 +-
> .../pmu-events/arch/x86/icelakex/cache.json | 6 +-
> .../arch/x86/icelakex/icx-metrics.json | 794 ++++++++++-
> .../arch/x86/icelakex/pipeline.json | 2 +-
> .../arch/x86/icelakex/uncore-other.json | 2 +-
> .../arch/x86/ivybridge/ivb-metrics.json | 525 +++++--
> .../pmu-events/arch/x86/ivytown/cache.json | 4 +-
> .../arch/x86/ivytown/floating-point.json | 2 +-
> .../pmu-events/arch/x86/ivytown/frontend.json | 18 +-
> .../arch/x86/ivytown/ivt-metrics.json | 558 ++++++--
> .../arch/x86/ivytown/uncore-cache.json | 58 +-
> .../arch/x86/ivytown/uncore-interconnect.json | 84 +-
> .../arch/x86/ivytown/uncore-memory.json | 2 +-
> .../arch/x86/ivytown/uncore-other.json | 6 +-
> .../arch/x86/ivytown/uncore-power.json | 8 +-
> .../arch/x86/jaketown/jkt-metrics.json | 291 ++--
> tools/perf/pmu-events/arch/x86/mapfile.csv | 18 +-
> .../arch/x86/sandybridge/snb-metrics.json | 279 +++-
> .../arch/x86/sapphirerapids/cache.json | 4 +-
> .../arch/x86/sapphirerapids/frontend.json | 11 +
> .../arch/x86/sapphirerapids/pipeline.json | 4 +-
> .../arch/x86/sapphirerapids/spr-metrics.json | 858 +++++++++++-
> .../arch/x86/skylake/skl-metrics.json | 774 ++++++++---
> .../arch/x86/skylakex/skx-metrics.json | 859 +++++++++---
> .../arch/x86/skylakex/uncore-memory.json | 18 +-
> .../arch/x86/skylakex/uncore-other.json | 19 +-
> .../arch/x86/tigerlake/tgl-metrics.json | 727 +++++++++-
> tools/perf/tests/expr.c | 4 +
> tools/perf/util/expr.c | 11 +-
> tools/perf/util/expr.y | 2 +-
> tools/perf/util/stat-shadow.c | 9 +-
> 56 files changed, 10103 insertions(+), 2129 deletions(-)
>
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 00/22] Improvements to Intel perf metrics
2022-09-28 12:56 ` [PATCH v1 00/22] Improvements to Intel perf metrics Liang, Kan
@ 2022-09-28 14:04 ` Ian Rogers
2022-09-28 15:05 ` Liang, Kan
0 siblings, 1 reply; 33+ messages in thread
From: Ian Rogers @ 2022-09-28 14:04 UTC (permalink / raw)
To: Liang, Kan
Cc: Zhengjun Xing, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Arnaldo Carvalho de Melo, Mark Rutland,
Alexander Shishkin, Jiri Olsa, Namhyung Kim, John Garry,
James Clark, Kajol Jain, Thomas Richter, Miaoqian Lin,
Florian Fischer, linux-perf-users, linux-kernel,
Stephane Eranian
On Wed, Sep 28, 2022 at 5:56 AM Liang, Kan <kan.liang@linux.intel.com> wrote:
>
>
>
> On 2022-09-28 3:21 a.m., Ian Rogers wrote:
> > For consistency with:
> > https://github.com/intel/perfmon-metrics
> > rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
> >
>
> If so, all the scripts with the old name must be broken on the existing
> platforms. Can we keep both old name and new name for the existing
> platforms?
>
> For the event naming, if we want to rename an event. We still keep the
> old name and mark it as deprecated in the existing platforms to maintain
> compatibility.
>
> Can we do the similar thing for metrics?
> For the existing platforms, just add all the metrics from the
> perfmon-metrics and don't change the existing metrics unless they have
> errors.
>
> Thanks,
> Kan
Thanks Kan,
Do we have examples of scripts that will be impacted by this? My
thoughts are that such scripts are likely using TopdownL1 as a metric
group, the metrics within that group vary and names may change over
time. For example, on hybrid there is Backend_Bound_Aux. Given the
existing state, such compatibility is only required for level 1
metrics on CNL CPX CLX KBLR/CFL/CML SKX SKL/KBL BDX BDW HSX HSW IVT
IVB JKT/SNB-EP SNB. Injecting either a metric group or an aliasing
metric is messy and when can we stop carrying the patch? There hasn't
been discussion of doing this in the context of:
https://github.com/intel/perfmon-metrics
I'd suggest that this is a good time for script writers to change how
they use particular metrics and derive the information instead from
groups like TopdownL1. This will also make them robust to changes in
the TMA metrics CSV files, another win.
Thanks,
Ian
> > Remove _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode
> > are correctly expanded in the single main metric. Fix perf expr to
> > allow a double if to be correctly processed.
> >
> > Add all 6 levels of TMA metrics. Child metrics are placed in a group
> > named after their parent allowing children of a metric to be
> > easily measured using the metric name with a _group suffix.
> >
> > Don't drop TMA metrics if they contain topdown events.
> >
> > The ## and ##? operators are correctly expanded.
> >
> > The locate-with column is added to the long description describing a
> > sampling event.
> >
> > Metrics are written in terms of other metrics to reduce the expression
> > size and increase readability.
> >
> > Following this the pmu-events/arch/x86 directories match those created
> > by the script at:
> > https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
> > with updates at:
> > https://github.com/captain5050/event-converter-for-linux-perf
> >
> > Ian Rogers (22):
> > perf expr: Allow a double if expression
> > perf expr: Remove jevents case workaround
> > perf metrics: Don't scale counts going into metrics
> > perf vendor events: Update Intel skylakex
> > perf vendor events: Update Intel alderlake
> > perf vendor events: Update Intel broadwell
> > perf vendor events: Update Intel broadwellx
> > perf vendor events: Update Intel cascadelakex
> > perf vendor events: Update elkhartlake cpuids
> > perf vendor events: Update Intel haswell
> > perf vendor events: Update Intel haswellx
> > perf vendor events: Update Intel icelake
> > perf vendor events: Update Intel icelakex
> > perf vendor events: Update Intel ivybridge
> > perf vendor events: Update Intel ivytown
> > perf vendor events: Update Intel jaketown
> > perf vendor events: Update Intel sandybridge
> > perf vendor events: Update Intel sapphirerapids
> > perf vendor events: Update silvermont cpuids
> > perf vendor events: Update Intel skylake
> > perf vendor events: Update Intel tigerlake
> > perf vendor events: Update Intel broadwellde
> >
> > .../arch/x86/alderlake/adl-metrics.json | 1215 ++++++++++++++++-
> > .../pmu-events/arch/x86/alderlake/cache.json | 129 +-
> > .../arch/x86/alderlake/frontend.json | 12 +
> > .../pmu-events/arch/x86/alderlake/memory.json | 22 +
> > .../pmu-events/arch/x86/alderlake/other.json | 22 +
> > .../arch/x86/alderlake/pipeline.json | 14 +-
> > .../arch/x86/broadwell/bdw-metrics.json | 603 ++++++--
> > .../arch/x86/broadwellde/bdwde-metrics.json | 639 +++++++--
> > .../arch/x86/broadwellx/bdx-metrics.json | 644 +++++++--
> > .../arch/x86/broadwellx/uncore-cache.json | 10 +-
> > .../x86/broadwellx/uncore-interconnect.json | 18 +-
> > .../arch/x86/broadwellx/uncore-memory.json | 18 +-
> > .../arch/x86/cascadelakex/clx-metrics.json | 893 ++++++++----
> > .../arch/x86/cascadelakex/uncore-memory.json | 18 +-
> > .../arch/x86/cascadelakex/uncore-other.json | 10 +-
> > .../pmu-events/arch/x86/haswell/cache.json | 4 +-
> > .../pmu-events/arch/x86/haswell/frontend.json | 12 +-
> > .../arch/x86/haswell/hsw-metrics.json | 502 +++++--
> > .../pmu-events/arch/x86/haswellx/cache.json | 2 +-
> > .../arch/x86/haswellx/frontend.json | 12 +-
> > .../arch/x86/haswellx/hsx-metrics.json | 707 +++++++---
> > .../x86/haswellx/uncore-interconnect.json | 18 +-
> > .../arch/x86/haswellx/uncore-memory.json | 18 +-
> > .../pmu-events/arch/x86/icelake/cache.json | 6 +-
> > .../arch/x86/icelake/icl-metrics.json | 725 +++++++++-
> > .../pmu-events/arch/x86/icelake/pipeline.json | 2 +-
> > .../pmu-events/arch/x86/icelakex/cache.json | 6 +-
> > .../arch/x86/icelakex/icx-metrics.json | 794 ++++++++++-
> > .../arch/x86/icelakex/pipeline.json | 2 +-
> > .../arch/x86/icelakex/uncore-other.json | 2 +-
> > .../arch/x86/ivybridge/ivb-metrics.json | 525 +++++--
> > .../pmu-events/arch/x86/ivytown/cache.json | 4 +-
> > .../arch/x86/ivytown/floating-point.json | 2 +-
> > .../pmu-events/arch/x86/ivytown/frontend.json | 18 +-
> > .../arch/x86/ivytown/ivt-metrics.json | 558 ++++++--
> > .../arch/x86/ivytown/uncore-cache.json | 58 +-
> > .../arch/x86/ivytown/uncore-interconnect.json | 84 +-
> > .../arch/x86/ivytown/uncore-memory.json | 2 +-
> > .../arch/x86/ivytown/uncore-other.json | 6 +-
> > .../arch/x86/ivytown/uncore-power.json | 8 +-
> > .../arch/x86/jaketown/jkt-metrics.json | 291 ++--
> > tools/perf/pmu-events/arch/x86/mapfile.csv | 18 +-
> > .../arch/x86/sandybridge/snb-metrics.json | 279 +++-
> > .../arch/x86/sapphirerapids/cache.json | 4 +-
> > .../arch/x86/sapphirerapids/frontend.json | 11 +
> > .../arch/x86/sapphirerapids/pipeline.json | 4 +-
> > .../arch/x86/sapphirerapids/spr-metrics.json | 858 +++++++++++-
> > .../arch/x86/skylake/skl-metrics.json | 774 ++++++++---
> > .../arch/x86/skylakex/skx-metrics.json | 859 +++++++++---
> > .../arch/x86/skylakex/uncore-memory.json | 18 +-
> > .../arch/x86/skylakex/uncore-other.json | 19 +-
> > .../arch/x86/tigerlake/tgl-metrics.json | 727 +++++++++-
> > tools/perf/tests/expr.c | 4 +
> > tools/perf/util/expr.c | 11 +-
> > tools/perf/util/expr.y | 2 +-
> > tools/perf/util/stat-shadow.c | 9 +-
> > 56 files changed, 10103 insertions(+), 2129 deletions(-)
> >
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 05/22] perf vendor events: Update Intel alderlake
2022-09-28 8:22 ` Xing Zhengjun
@ 2022-09-28 14:07 ` Arnaldo Carvalho de Melo
2022-09-29 2:23 ` Ian Rogers
0 siblings, 1 reply; 33+ messages in thread
From: Arnaldo Carvalho de Melo @ 2022-09-28 14:07 UTC (permalink / raw)
To: Xing Zhengjun
Cc: Ian Rogers, Kan Liang, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Mark Rutland, Alexander Shishkin, Jiri Olsa,
Namhyung Kim, John Garry, James Clark, Kajol Jain,
Thomas Richter, Miaoqian Lin, Florian Fischer, linux-perf-users,
linux-kernel, Stephane Eranian
Em Wed, Sep 28, 2022 at 04:22:53PM +0800, Xing Zhengjun escreveu:
> On 9/28/2022 3:21 PM, Ian Rogers wrote:
> > diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
> > index 7f2d777fd97f..594c6e96f0ce 100644
> > --- a/tools/perf/pmu-events/arch/x86/mapfile.csv
> > +++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
> > @@ -1,5 +1,5 @@
> > Family-model,Version,Filename,EventType
> > -GenuineIntel-6-9[7A],v1.13,alderlake,core
> > +GenuineIntel-6-(97|9A|B7|BA|BF),v1.15,alderlake,core
>
> The commit description should mention this change "Add more CPUID support
> for ADL"
I added this note, with that can I have your Reviewed-by or Acked-by?
- Arnaldo
> > GenuineIntel-6-(1C|26|27|35|36),v4,bonnell,core
> > GenuineIntel-6-(3D|47),v26,broadwell,core
> > GenuineIntel-6-56,v23,broadwellde,core
>
> --
> Zhengjun Xing
--
- Arnaldo
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 00/22] Improvements to Intel perf metrics
2022-09-28 14:04 ` Ian Rogers
@ 2022-09-28 15:05 ` Liang, Kan
0 siblings, 0 replies; 33+ messages in thread
From: Liang, Kan @ 2022-09-28 15:05 UTC (permalink / raw)
To: Ian Rogers
Cc: Zhengjun Xing, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Arnaldo Carvalho de Melo, Mark Rutland,
Alexander Shishkin, Jiri Olsa, Namhyung Kim, John Garry,
James Clark, Kajol Jain, Thomas Richter, Miaoqian Lin,
Florian Fischer, linux-perf-users, linux-kernel,
Stephane Eranian
On 2022-09-28 10:04 a.m., Ian Rogers wrote:
> On Wed, Sep 28, 2022 at 5:56 AM Liang, Kan <kan.liang@linux.intel.com> wrote:
>>
>>
>>
>> On 2022-09-28 3:21 a.m., Ian Rogers wrote:
>>> For consistency with:
>>> https://github.com/intel/perfmon-metrics
>>> rename of topdown TMA metrics from Frontend_Bound to tma_frontend_bound.
>>>
>>
>> If so, all the scripts with the old name must be broken on the existing
>> platforms. Can we keep both old name and new name for the existing
>> platforms?
>>
>> For the event naming, if we want to rename an event. We still keep the
>> old name and mark it as deprecated in the existing platforms to maintain
>> compatibility.
>>
>> Can we do the similar thing for metrics?
>> For the existing platforms, just add all the metrics from the
>> perfmon-metrics and don't change the existing metrics unless they have
>> errors.
>>
>> Thanks,
>> Kan
>
> Thanks Kan,
>
> Do we have examples of scripts that will be impacted by this? My
> thoughts are that such scripts are likely using TopdownL1 as a metric
> group, the metrics within that group vary and names may change over
> time. For example, on hybrid there is Backend_Bound_Aux. Given the
> existing state, such compatibility is only required for level 1
> metrics on CNL CPX CLX KBLR/CFL/CML SKX SKL/KBL BDX BDW HSX HSW IVT
> IVB JKT/SNB-EP SNB. Injecting either a metric group or an aliasing
> metric is messy and when can we stop carrying the patch? There hasn't
> been discussion of doing this in the context of:
> https://github.com/intel/perfmon-metrics
> I'd suggest that this is a good time for script writers to change how
> they use particular metrics and derive the information instead from
> groups like TopdownL1.
So the rename only impacts the Topdown metrics, right?
We still keep the old group name, TopdownL1.
If so, I agree. It only makes sense when collect in a Top-down group,
not specific metrics.
Thanks,
Kan
> This will also make them robust to changes in
> the TMA metrics CSV files, another win.
>
> Thanks,
> Ian
>
>
>>> Remove _SMT suffix metrics are dropped as the #SMT_On and #EBS_Mode
>>> are correctly expanded in the single main metric. Fix perf expr to
>>> allow a double if to be correctly processed.
>>>
>>> Add all 6 levels of TMA metrics. Child metrics are placed in a group
>>> named after their parent allowing children of a metric to be
>>> easily measured using the metric name with a _group suffix.
>>>
>>> Don't drop TMA metrics if they contain topdown events.
>>>
>>> The ## and ##? operators are correctly expanded.
>>>
>>> The locate-with column is added to the long description describing a
>>> sampling event.
>>>
>>> Metrics are written in terms of other metrics to reduce the expression
>>> size and increase readability.
>>>
>>> Following this the pmu-events/arch/x86 directories match those created
>>> by the script at:
>>> https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py
>>> with updates at:
>>> https://github.com/captain5050/event-converter-for-linux-perf
>>>
>>> Ian Rogers (22):
>>> perf expr: Allow a double if expression
>>> perf expr: Remove jevents case workaround
>>> perf metrics: Don't scale counts going into metrics
>>> perf vendor events: Update Intel skylakex
>>> perf vendor events: Update Intel alderlake
>>> perf vendor events: Update Intel broadwell
>>> perf vendor events: Update Intel broadwellx
>>> perf vendor events: Update Intel cascadelakex
>>> perf vendor events: Update elkhartlake cpuids
>>> perf vendor events: Update Intel haswell
>>> perf vendor events: Update Intel haswellx
>>> perf vendor events: Update Intel icelake
>>> perf vendor events: Update Intel icelakex
>>> perf vendor events: Update Intel ivybridge
>>> perf vendor events: Update Intel ivytown
>>> perf vendor events: Update Intel jaketown
>>> perf vendor events: Update Intel sandybridge
>>> perf vendor events: Update Intel sapphirerapids
>>> perf vendor events: Update silvermont cpuids
>>> perf vendor events: Update Intel skylake
>>> perf vendor events: Update Intel tigerlake
>>> perf vendor events: Update Intel broadwellde
>>>
>>> .../arch/x86/alderlake/adl-metrics.json | 1215 ++++++++++++++++-
>>> .../pmu-events/arch/x86/alderlake/cache.json | 129 +-
>>> .../arch/x86/alderlake/frontend.json | 12 +
>>> .../pmu-events/arch/x86/alderlake/memory.json | 22 +
>>> .../pmu-events/arch/x86/alderlake/other.json | 22 +
>>> .../arch/x86/alderlake/pipeline.json | 14 +-
>>> .../arch/x86/broadwell/bdw-metrics.json | 603 ++++++--
>>> .../arch/x86/broadwellde/bdwde-metrics.json | 639 +++++++--
>>> .../arch/x86/broadwellx/bdx-metrics.json | 644 +++++++--
>>> .../arch/x86/broadwellx/uncore-cache.json | 10 +-
>>> .../x86/broadwellx/uncore-interconnect.json | 18 +-
>>> .../arch/x86/broadwellx/uncore-memory.json | 18 +-
>>> .../arch/x86/cascadelakex/clx-metrics.json | 893 ++++++++----
>>> .../arch/x86/cascadelakex/uncore-memory.json | 18 +-
>>> .../arch/x86/cascadelakex/uncore-other.json | 10 +-
>>> .../pmu-events/arch/x86/haswell/cache.json | 4 +-
>>> .../pmu-events/arch/x86/haswell/frontend.json | 12 +-
>>> .../arch/x86/haswell/hsw-metrics.json | 502 +++++--
>>> .../pmu-events/arch/x86/haswellx/cache.json | 2 +-
>>> .../arch/x86/haswellx/frontend.json | 12 +-
>>> .../arch/x86/haswellx/hsx-metrics.json | 707 +++++++---
>>> .../x86/haswellx/uncore-interconnect.json | 18 +-
>>> .../arch/x86/haswellx/uncore-memory.json | 18 +-
>>> .../pmu-events/arch/x86/icelake/cache.json | 6 +-
>>> .../arch/x86/icelake/icl-metrics.json | 725 +++++++++-
>>> .../pmu-events/arch/x86/icelake/pipeline.json | 2 +-
>>> .../pmu-events/arch/x86/icelakex/cache.json | 6 +-
>>> .../arch/x86/icelakex/icx-metrics.json | 794 ++++++++++-
>>> .../arch/x86/icelakex/pipeline.json | 2 +-
>>> .../arch/x86/icelakex/uncore-other.json | 2 +-
>>> .../arch/x86/ivybridge/ivb-metrics.json | 525 +++++--
>>> .../pmu-events/arch/x86/ivytown/cache.json | 4 +-
>>> .../arch/x86/ivytown/floating-point.json | 2 +-
>>> .../pmu-events/arch/x86/ivytown/frontend.json | 18 +-
>>> .../arch/x86/ivytown/ivt-metrics.json | 558 ++++++--
>>> .../arch/x86/ivytown/uncore-cache.json | 58 +-
>>> .../arch/x86/ivytown/uncore-interconnect.json | 84 +-
>>> .../arch/x86/ivytown/uncore-memory.json | 2 +-
>>> .../arch/x86/ivytown/uncore-other.json | 6 +-
>>> .../arch/x86/ivytown/uncore-power.json | 8 +-
>>> .../arch/x86/jaketown/jkt-metrics.json | 291 ++--
>>> tools/perf/pmu-events/arch/x86/mapfile.csv | 18 +-
>>> .../arch/x86/sandybridge/snb-metrics.json | 279 +++-
>>> .../arch/x86/sapphirerapids/cache.json | 4 +-
>>> .../arch/x86/sapphirerapids/frontend.json | 11 +
>>> .../arch/x86/sapphirerapids/pipeline.json | 4 +-
>>> .../arch/x86/sapphirerapids/spr-metrics.json | 858 +++++++++++-
>>> .../arch/x86/skylake/skl-metrics.json | 774 ++++++++---
>>> .../arch/x86/skylakex/skx-metrics.json | 859 +++++++++---
>>> .../arch/x86/skylakex/uncore-memory.json | 18 +-
>>> .../arch/x86/skylakex/uncore-other.json | 19 +-
>>> .../arch/x86/tigerlake/tgl-metrics.json | 727 +++++++++-
>>> tools/perf/tests/expr.c | 4 +
>>> tools/perf/util/expr.c | 11 +-
>>> tools/perf/util/expr.y | 2 +-
>>> tools/perf/util/stat-shadow.c | 9 +-
>>> 56 files changed, 10103 insertions(+), 2129 deletions(-)
>>>
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 05/22] perf vendor events: Update Intel alderlake
2022-09-28 14:07 ` Arnaldo Carvalho de Melo
@ 2022-09-29 2:23 ` Ian Rogers
2022-09-29 8:12 ` Xing Zhengjun
2022-09-29 13:00 ` Arnaldo Carvalho de Melo
0 siblings, 2 replies; 33+ messages in thread
From: Ian Rogers @ 2022-09-29 2:23 UTC (permalink / raw)
To: Arnaldo Carvalho de Melo
Cc: Xing Zhengjun, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Mark Rutland, Alexander Shishkin,
Jiri Olsa, Namhyung Kim, John Garry, James Clark, Kajol Jain,
Thomas Richter, Miaoqian Lin, Florian Fischer, linux-perf-users,
linux-kernel, Stephane Eranian
On Wed, Sep 28, 2022 at 7:08 AM Arnaldo Carvalho de Melo
<acme@kernel.org> wrote:
>
> Em Wed, Sep 28, 2022 at 04:22:53PM +0800, Xing Zhengjun escreveu:
> > On 9/28/2022 3:21 PM, Ian Rogers wrote:
> > > diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
> > > index 7f2d777fd97f..594c6e96f0ce 100644
> > > --- a/tools/perf/pmu-events/arch/x86/mapfile.csv
> > > +++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
> > > @@ -1,5 +1,5 @@
> > > Family-model,Version,Filename,EventType
> > > -GenuineIntel-6-9[7A],v1.13,alderlake,core
> > > +GenuineIntel-6-(97|9A|B7|BA|BF),v1.15,alderlake,core
> >
> > The commit description should mention this change "Add more CPUID support
> > for ADL"
>
> I added this note, with that can I have your Reviewed-by or Acked-by?
>
> - Arnaldo
I think I should send a v2. I can add this then. Other things for v2 are:
- this week there will likely be an update to [1] which is implicitly
integrated here.
- the topdown metrics are all percentages but are currently values
zero to 1. It is straightforward to add a ScaleUnit of 100% to them
all.
- eyeballing topdown event metrics like:
{
"BriefDescription": "This category represents fraction of slots
utilized by useful work i.e. issued uops that eventually get retired",
"MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound +
topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
"MetricGroup": "TopdownL1;tma_L1_group",
"MetricName": "tma_retiring",
...
it looks like the group will fail due to the missing slots event. This
can be fixed with:
"MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound +
topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) + 0
* TOPDOWN.SLOTS",
Thanks,
Ian
[1] https://github.com/intel/perfmon-metrics
> > > GenuineIntel-6-(1C|26|27|35|36),v4,bonnell,core
> > > GenuineIntel-6-(3D|47),v26,broadwell,core
> > > GenuineIntel-6-56,v23,broadwellde,core
> >
> > --
> > Zhengjun Xing
>
> --
>
> - Arnaldo
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 05/22] perf vendor events: Update Intel alderlake
2022-09-29 2:23 ` Ian Rogers
@ 2022-09-29 8:12 ` Xing Zhengjun
2022-09-29 13:00 ` Arnaldo Carvalho de Melo
1 sibling, 0 replies; 33+ messages in thread
From: Xing Zhengjun @ 2022-09-29 8:12 UTC (permalink / raw)
To: Ian Rogers, Arnaldo Carvalho de Melo
Cc: Kan Liang, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Mark Rutland, Alexander Shishkin, Jiri Olsa,
Namhyung Kim, John Garry, James Clark, Kajol Jain,
Thomas Richter, Miaoqian Lin, Florian Fischer, linux-perf-users,
linux-kernel, Stephane Eranian
On 9/29/2022 10:23 AM, Ian Rogers wrote:
> On Wed, Sep 28, 2022 at 7:08 AM Arnaldo Carvalho de Melo
> <acme@kernel.org> wrote:
>>
>> Em Wed, Sep 28, 2022 at 04:22:53PM +0800, Xing Zhengjun escreveu:
>>> On 9/28/2022 3:21 PM, Ian Rogers wrote:
>>>> diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
>>>> index 7f2d777fd97f..594c6e96f0ce 100644
>>>> --- a/tools/perf/pmu-events/arch/x86/mapfile.csv
>>>> +++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
>>>> @@ -1,5 +1,5 @@
>>>> Family-model,Version,Filename,EventType
>>>> -GenuineIntel-6-9[7A],v1.13,alderlake,core
>>>> +GenuineIntel-6-(97|9A|B7|BA|BF),v1.15,alderlake,core
>>>
>>> The commit description should mention this change "Add more CPUID support
>>> for ADL"
>>
>> I added this note, with that can I have your Reviewed-by or Acked-by?
>>
>> - Arnaldo
>
> I think I should send a v2. I can add this then. Other things for v2 are:
> - this week there will likely be an update to [1] which is implicitly
> integrated here.
> - the topdown metrics are all percentages but are currently values
> zero to 1. It is straightforward to add a ScaleUnit of 100% to them
> all.
> - eyeballing topdown event metrics like:
>
> {
> "BriefDescription": "This category represents fraction of slots
> utilized by useful work i.e. issued uops that eventually get retired",
> "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound +
> topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> "MetricGroup": "TopdownL1;tma_L1_group",
> "MetricName": "tma_retiring",
> ...
> it looks like the group will fail due to the missing slots event. This
> can be fixed with:
> "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound +
> topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) + 0
> * TOPDOWN.SLOTS",
>
> Thanks,
> Ian
I just test all the events for SPR/ADL, no error find.
But there are a lots of metrics fail due to slots missed.
|0929_005708.420|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_branch_mispredicts" -a sleep 0.1 failed. Return code is 255|
|0929_005709.221|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_backend_bound" -a sleep 0.1 failed. Return code is 255|
|0929_005709.544|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_memory_bound" -a sleep 0.1 failed. Return code is 255|
|0929_005723.757|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_core_bound" -a sleep 0.1 failed. Return code is 255|
|0929_005724.531|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_ports_utilization" -a sleep 0.1 failed. Return code is 255|
|0929_005731.541|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_retiring" -a sleep 0.1 failed. Return code is 255|
|0929_005731.860|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_light_operations" -a sleep 0.1 failed. Return code is 255|
|0929_005732.811|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_x87_use" -a sleep 0.1 failed. Return code is 255|
|0929_005741.026|ERROR| common.sh:123:do_cmd() - perf stat -M
"tma_heavy_operations" -a sleep 0.1 failed. Return code is 255|
|0929_005746.165|ERROR| common.sh:123:do_cmd() - perf stat -M
"Memory_Latency" -a sleep 0.1 failed. Return code is 255|
# perf stat -v -M "tma_branch_mispredicts" -a sleep 1
Using CPUID GenuineIntel-6-8F-3
metric expr topdown\-br\-mispredict / (topdown\-fe\-bound +
topdown\-bad\-spec + topdown\-retiring + topdown\-be\-bound) for
tma_branch_mispredicts
found event topdown-retiring
found event topdown-fe-bound
found event topdown-be-bound
found event topdown-br-mispredict
found event topdown-bad-spec
Parsing metric events
'{topdown-retiring/metric-id=topdown!1retiring/,topdown-fe-bound/metric-id=topdown!1fe!1bound/,topdown-be-bound/metric-id=topdown!1be!1bound/,topdown-br-mispredict/metric-id=topdown!1br!1mispredict/,topdown-bad-spec/metric-id=topdown!1bad!1spec/}:W'
topdown-retiring -> cpu/event=0,umask=0x80/
topdown-fe-bound -> cpu/event=0,umask=0x82/
topdown-be-bound -> cpu/event=0,umask=0x83/
topdown-br-mispredict -> cpu/event=0,umask=0x85/
topdown-bad-spec -> cpu/event=0,umask=0x81/
Control descriptor is not initialized
Warning:
topdown-retiring event is not supported by the kernel.
Error:
The sys_perf_event_open() syscall returned with 22 (Invalid argument)
for event (topdown-retiring).
/bin/dmesg | grep -i perf may provide additional information.
>
> [1] https://github.com/intel/perfmon-metrics
>
>>>> GenuineIntel-6-(1C|26|27|35|36),v4,bonnell,core
>>>> GenuineIntel-6-(3D|47),v26,broadwell,core
>>>> GenuineIntel-6-56,v23,broadwellde,core
>>>
>>> --
>>> Zhengjun Xing
>>
>> --
>>
>> - Arnaldo
--
Zhengjun Xing
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics
2022-09-28 7:21 ` [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics Ian Rogers
@ 2022-09-29 8:48 ` Xing Zhengjun
2022-10-04 1:34 ` Ian Rogers
0 siblings, 1 reply; 33+ messages in thread
From: Xing Zhengjun @ 2022-09-29 8:48 UTC (permalink / raw)
To: Ian Rogers, Kan Liang, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Arnaldo Carvalho de Melo, Mark Rutland,
Alexander Shishkin, Jiri Olsa, Namhyung Kim, John Garry,
James Clark, Kajol Jain, Thomas Richter, Miaoqian Lin,
Florian Fischer, linux-perf-users, linux-kernel
Cc: Stephane Eranian
On 9/28/2022 3:21 PM, Ian Rogers wrote:
> Counts are scaled prior to going into saved_value, reverse the scaling
> so that metrics don't double scale values.
>
> Signed-off-by: Ian Rogers <irogers@google.com>
> ---
> tools/perf/util/stat-shadow.c | 9 +++++++--
> 1 file changed, 7 insertions(+), 2 deletions(-)
>
> diff --git a/tools/perf/util/stat-shadow.c b/tools/perf/util/stat-shadow.c
> index 9e1eddeff21b..b5cedd37588f 100644
> --- a/tools/perf/util/stat-shadow.c
> +++ b/tools/perf/util/stat-shadow.c
> @@ -865,11 +865,16 @@ static int prepare_metric(struct evsel **metric_events,
> if (!v)
> break;
> stats = &v->stats;
> - scale = 1.0;
> + /*
> + * If an event was scaled during stat gathering, reverse
> + * the scale before computing the metric.
> + */
> + scale = 1.0 / metric_events[i]->scale;
> +
This look likes not work for kernel side events like
/sys/devices/uncore_imc_*/events/cas_count_read(write).
> source_count = evsel__source_count(metric_events[i]);
>
> if (v->metric_other)
> - metric_total = v->metric_total;
> + metric_total = v->metric_total * scale;
> }
> n = strdup(evsel__metric_id(metric_events[i]));
> if (!n)
--
Zhengjun Xing
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 05/22] perf vendor events: Update Intel alderlake
2022-09-29 2:23 ` Ian Rogers
2022-09-29 8:12 ` Xing Zhengjun
@ 2022-09-29 13:00 ` Arnaldo Carvalho de Melo
1 sibling, 0 replies; 33+ messages in thread
From: Arnaldo Carvalho de Melo @ 2022-09-29 13:00 UTC (permalink / raw)
To: Ian Rogers
Cc: Xing Zhengjun, Kan Liang, Andi Kleen, perry.taylor,
caleb.biggers, kshipra.bopardikar, samantha.alt, ahmad.yasin,
Peter Zijlstra, Ingo Molnar, Mark Rutland, Alexander Shishkin,
Jiri Olsa, Namhyung Kim, John Garry, James Clark, Kajol Jain,
Thomas Richter, Miaoqian Lin, Florian Fischer, linux-perf-users,
linux-kernel, Stephane Eranian
Em Wed, Sep 28, 2022 at 07:23:37PM -0700, Ian Rogers escreveu:
> On Wed, Sep 28, 2022 at 7:08 AM Arnaldo Carvalho de Melo
> <acme@kernel.org> wrote:
> >
> > Em Wed, Sep 28, 2022 at 04:22:53PM +0800, Xing Zhengjun escreveu:
> > > On 9/28/2022 3:21 PM, Ian Rogers wrote:
> > > > diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
> > > > index 7f2d777fd97f..594c6e96f0ce 100644
> > > > --- a/tools/perf/pmu-events/arch/x86/mapfile.csv
> > > > +++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
> > > > @@ -1,5 +1,5 @@
> > > > Family-model,Version,Filename,EventType
> > > > -GenuineIntel-6-9[7A],v1.13,alderlake,core
> > > > +GenuineIntel-6-(97|9A|B7|BA|BF),v1.15,alderlake,core
> > >
> > > The commit description should mention this change "Add more CPUID support
> > > for ADL"
> >
> > I added this note, with that can I have your Reviewed-by or Acked-by?
> >
> > - Arnaldo
>
> I think I should send a v2. I can add this then. Other things for v2 are:
Ok, I'll drop v1 from my local, testing branch.
> - this week there will likely be an update to [1] which is implicitly
> integrated here.
> - the topdown metrics are all percentages but are currently values
> zero to 1. It is straightforward to add a ScaleUnit of 100% to them
> all.
> - eyeballing topdown event metrics like:
>
> {
> "BriefDescription": "This category represents fraction of slots
> utilized by useful work i.e. issued uops that eventually get retired",
> "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound +
> topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound)",
> "MetricGroup": "TopdownL1;tma_L1_group",
> "MetricName": "tma_retiring",
> ...
> it looks like the group will fail due to the missing slots event. This
> can be fixed with:
> "MetricExpr": "topdown\\-retiring / (topdown\\-fe\\-bound +
> topdown\\-bad\\-spec + topdown\\-retiring + topdown\\-be\\-bound) + 0
> * TOPDOWN.SLOTS",
>
> Thanks,
> Ian
>
> [1] https://github.com/intel/perfmon-metrics
>
> > > > GenuineIntel-6-(1C|26|27|35|36),v4,bonnell,core
> > > > GenuineIntel-6-(3D|47),v26,broadwell,core
> > > > GenuineIntel-6-56,v23,broadwellde,core
> > >
> > > --
> > > Zhengjun Xing
> >
> > --
> >
> > - Arnaldo
--
- Arnaldo
^ permalink raw reply [flat|nested] 33+ messages in thread
* Re: [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics
2022-09-29 8:48 ` Xing Zhengjun
@ 2022-10-04 1:34 ` Ian Rogers
0 siblings, 0 replies; 33+ messages in thread
From: Ian Rogers @ 2022-10-04 1:34 UTC (permalink / raw)
To: Xing Zhengjun
Cc: Kan Liang, Andi Kleen, perry.taylor, caleb.biggers,
kshipra.bopardikar, samantha.alt, ahmad.yasin, Peter Zijlstra,
Ingo Molnar, Arnaldo Carvalho de Melo, Mark Rutland,
Alexander Shishkin, Jiri Olsa, Namhyung Kim, John Garry,
James Clark, Kajol Jain, Thomas Richter, Miaoqian Lin,
Florian Fischer, linux-perf-users, linux-kernel,
Stephane Eranian
On Thu, Sep 29, 2022 at 1:49 AM Xing Zhengjun
<zhengjun.xing@linux.intel.com> wrote:
>
> On 9/28/2022 3:21 PM, Ian Rogers wrote:
> > Counts are scaled prior to going into saved_value, reverse the scaling
> > so that metrics don't double scale values.
> >
> > Signed-off-by: Ian Rogers <irogers@google.com>
> > ---
> > tools/perf/util/stat-shadow.c | 9 +++++++--
> > 1 file changed, 7 insertions(+), 2 deletions(-)
> >
> > diff --git a/tools/perf/util/stat-shadow.c b/tools/perf/util/stat-shadow.c
> > index 9e1eddeff21b..b5cedd37588f 100644
> > --- a/tools/perf/util/stat-shadow.c
> > +++ b/tools/perf/util/stat-shadow.c
> > @@ -865,11 +865,16 @@ static int prepare_metric(struct evsel **metric_events,
> > if (!v)
> > break;
> > stats = &v->stats;
> > - scale = 1.0;
> > + /*
> > + * If an event was scaled during stat gathering, reverse
> > + * the scale before computing the metric.
> > + */
> > + scale = 1.0 / metric_events[i]->scale;
> > +
> This look likes not work for kernel side events like
> /sys/devices/uncore_imc_*/events/cas_count_read(write).
I've not been able to reproduce this. I've tried:
{
"MetricName": "IanTest",
"MetricExpr": "uncore_imc@cas_count_read@ * 6.103515625e-5 +
uncore_imc@cas_count_write@ * 6.103515625e-5"
}
where it scales the two counters and sums them. I see:
$ perf stat -M IanTest -a sleep 1
Performance counter stats for 'system wide':
298.70 MiB uncore_imc/cas_count_write/ # 721.00
IanTest
429.64 MiB uncore_imc/cas_count_read/
1.004877710 seconds time elapsed
So the metric's value nearly matches the sum. If the scaled values had
been used the sum would have been something like 0.044454345703124995.
From the code, this is the only place a metric's "ID" (event/counter)
is associated with a value, so I would be confused if there were a
code path where reversing the scaling wasn't happening.
Thanks,
Ian
> > source_count = evsel__source_count(metric_events[i]);
> >
> > if (v->metric_other)
> > - metric_total = v->metric_total;
> > + metric_total = v->metric_total * scale;
> > }
> > n = strdup(evsel__metric_id(metric_events[i]));
> > if (!n)
>
> --
> Zhengjun Xing
^ permalink raw reply [flat|nested] 33+ messages in thread
end of thread, other threads:[~2022-10-04 1:34 UTC | newest]
Thread overview: 33+ messages (download: mbox.gz / follow: Atom feed)
-- links below jump to the message on this page --
2022-09-28 7:21 [PATCH v1 00/22] Improvements to Intel perf metrics Ian Rogers
2022-09-28 7:21 ` [PATCH v1 01/22] perf expr: Allow a double if expression Ian Rogers
2022-09-28 7:21 ` [PATCH v1 02/22] perf expr: Remove jevents case workaround Ian Rogers
2022-09-28 7:21 ` [PATCH v1 03/22] perf metrics: Don't scale counts going into metrics Ian Rogers
2022-09-29 8:48 ` Xing Zhengjun
2022-10-04 1:34 ` Ian Rogers
2022-09-28 7:21 ` [PATCH v1 04/22] perf vendor events: Update Intel skylakex Ian Rogers
2022-09-28 7:21 ` [PATCH v1 05/22] perf vendor events: Update Intel alderlake Ian Rogers
2022-09-28 8:22 ` Xing Zhengjun
2022-09-28 14:07 ` Arnaldo Carvalho de Melo
2022-09-29 2:23 ` Ian Rogers
2022-09-29 8:12 ` Xing Zhengjun
2022-09-29 13:00 ` Arnaldo Carvalho de Melo
2022-09-28 7:21 ` [PATCH v1 06/22] perf vendor events: Update Intel broadwell Ian Rogers
2022-09-28 7:21 ` [PATCH v1 07/22] perf vendor events: Update Intel broadwellx Ian Rogers
2022-09-28 7:21 ` [PATCH v1 08/22] perf vendor events: Update Intel cascadelakex Ian Rogers
2022-09-28 7:21 ` [PATCH v1 09/22] perf vendor events: Update elkhartlake cpuids Ian Rogers
2022-09-28 7:21 ` [PATCH v1 10/22] perf vendor events: Update Intel haswell Ian Rogers
2022-09-28 7:21 ` [PATCH v1 11/22] perf vendor events: Update Intel haswellx Ian Rogers
2022-09-28 7:21 ` [PATCH v1 12/22] perf vendor events: Update Intel icelake Ian Rogers
2022-09-28 7:21 ` [PATCH v1 13/22] perf vendor events: Update Intel icelakex Ian Rogers
2022-09-28 7:21 ` [PATCH v1 14/22] perf vendor events: Update Intel ivybridge Ian Rogers
2022-09-28 7:21 ` [PATCH v1 15/22] perf vendor events: Update Intel ivytown Ian Rogers
2022-09-28 7:21 ` [PATCH v1 16/22] perf vendor events: Update Intel jaketown Ian Rogers
2022-09-28 7:21 ` [PATCH v1 17/22] perf vendor events: Update Intel sandybridge Ian Rogers
2022-09-28 7:22 ` [PATCH v1 18/22] perf vendor events: Update Intel sapphirerapids Ian Rogers
2022-09-28 7:22 ` [PATCH v1 19/22] perf vendor events: Update silvermont cpuids Ian Rogers
2022-09-28 7:22 ` [PATCH v1 20/22] perf vendor events: Update Intel skylake Ian Rogers
2022-09-28 7:22 ` [PATCH v1 21/22] perf vendor events: Update Intel tigerlake Ian Rogers
2022-09-28 7:22 ` [PATCH v1 22/22] perf vendor events: Update Intel broadwellde Ian Rogers
2022-09-28 12:56 ` [PATCH v1 00/22] Improvements to Intel perf metrics Liang, Kan
2022-09-28 14:04 ` Ian Rogers
2022-09-28 15:05 ` Liang, Kan
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