[v14,11/15] Documentation/admin-guide/mm: Add a document for DAMON
diff mbox series

Message ID 20200602131430.23134-1-sjpark@amazon.com
State New
Headers show
Series
  • Introduce Data Access MONitor (DAMON)
Related show

Commit Message

SeongJae Park June 2, 2020, 1:14 p.m. UTC
From: SeongJae Park <sjpark@amazon.de>

This commit adds a simple document for DAMON under
`Documentation/admin-guide/mm`.

Signed-off-by: SeongJae Park <sjpark@amazon.de>
---
 Documentation/admin-guide/mm/damon/api.rst    |  20 ++
 .../admin-guide/mm/damon/damon_heatmap.png    | Bin 0 -> 8366 bytes
 .../admin-guide/mm/damon/damon_wss_change.png | Bin 0 -> 7211 bytes
 .../admin-guide/mm/damon/damon_wss_dist.png   | Bin 0 -> 6173 bytes
 Documentation/admin-guide/mm/damon/eval.rst   | 215 ++++++++++++
 Documentation/admin-guide/mm/damon/faq.rst    |  39 +++
 .../admin-guide/mm/damon/freqmine_heatmap.png | Bin 0 -> 8687 bytes
 .../admin-guide/mm/damon/freqmine_wss_sz.png  | Bin 0 -> 4986 bytes
 .../mm/damon/freqmine_wss_time.png            | Bin 0 -> 6283 bytes
 Documentation/admin-guide/mm/damon/guide.rst  | 196 +++++++++++
 Documentation/admin-guide/mm/damon/index.rst  |  36 +++
 .../admin-guide/mm/damon/mechanisms.rst       | 111 +++++++
 Documentation/admin-guide/mm/damon/plans.rst  |  49 +++
 Documentation/admin-guide/mm/damon/start.rst  | 119 +++++++
 .../mm/damon/streamcluster_heatmap.png        | Bin 0 -> 37916 bytes
 .../mm/damon/streamcluster_wss_sz.png         | Bin 0 -> 5522 bytes
 .../mm/damon/streamcluster_wss_time.png       | Bin 0 -> 6322 bytes
 Documentation/admin-guide/mm/damon/usage.rst  | 305 ++++++++++++++++++
 Documentation/admin-guide/mm/index.rst        |   1 +
 19 files changed, 1091 insertions(+)
 create mode 100644 Documentation/admin-guide/mm/damon/api.rst
 create mode 100644 Documentation/admin-guide/mm/damon/damon_heatmap.png
 create mode 100644 Documentation/admin-guide/mm/damon/damon_wss_change.png
 create mode 100644 Documentation/admin-guide/mm/damon/damon_wss_dist.png
 create mode 100644 Documentation/admin-guide/mm/damon/eval.rst
 create mode 100644 Documentation/admin-guide/mm/damon/faq.rst
 create mode 100644 Documentation/admin-guide/mm/damon/freqmine_heatmap.png
 create mode 100644 Documentation/admin-guide/mm/damon/freqmine_wss_sz.png
 create mode 100644 Documentation/admin-guide/mm/damon/freqmine_wss_time.png
 create mode 100644 Documentation/admin-guide/mm/damon/guide.rst
 create mode 100644 Documentation/admin-guide/mm/damon/index.rst
 create mode 100644 Documentation/admin-guide/mm/damon/mechanisms.rst
 create mode 100644 Documentation/admin-guide/mm/damon/plans.rst
 create mode 100644 Documentation/admin-guide/mm/damon/start.rst
 create mode 100644 Documentation/admin-guide/mm/damon/streamcluster_heatmap.png
 create mode 100644 Documentation/admin-guide/mm/damon/streamcluster_wss_sz.png
 create mode 100644 Documentation/admin-guide/mm/damon/streamcluster_wss_time.png
 create mode 100644 Documentation/admin-guide/mm/damon/usage.rst

Patch
diff mbox series

diff --git a/Documentation/admin-guide/mm/damon/api.rst b/Documentation/admin-guide/mm/damon/api.rst
new file mode 100644
index 000000000000..649409828eab
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/api.rst
@@ -0,0 +1,20 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+=============
+API Reference
+=============
+
+Kernel space programs can use every feature of DAMON using below APIs.  All you
+need to do is including ``damon.h``, which is located in ``include/linux/`` of
+the source tree.
+
+Structures
+==========
+
+.. kernel-doc:: include/linux/damon.h
+
+
+Functions
+=========
+
+.. kernel-doc:: mm/damon.c
diff --git a/Documentation/admin-guide/mm/damon/damon_heatmap.png b/Documentation/admin-guide/mm/damon/damon_heatmap.png
new file mode 100644
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diff --git a/Documentation/admin-guide/mm/damon/eval.rst b/Documentation/admin-guide/mm/damon/eval.rst
new file mode 100644
index 000000000000..02a36a0d6145
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/eval.rst
@@ -0,0 +1,215 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+==========
+Evaluation
+==========
+
+DAMON is lightweight.  It increases system memory usage by only -0.39% and
+consumes less than 1% CPU time in most case.  It slows target workloads down by
+only 0.63%.
+
+DAMON is accurate and useful for memory management optimizations.  An
+experimental DAMON-based operation scheme for THP, 'ethp', removes 69.43% of
+THP memory overheads while preserving 37.11% of THP speedup.  Another
+experimental DAMON-based 'proactive reclamation' implementation, 'prcl',
+reduces 89.30% of residential sets and 22.40% of system memory footprint while
+incurring only 1.98% runtime overhead in the best case (parsec3/freqmine).
+
+Setup
+=====
+
+On a QEMU/KVM based virtual machine hosted by an Intel i7 host machine running
+Ubuntu 18.04, I measure runtime and consumed system memory while running
+various realistic workloads with several configurations.  I use 13 and 12
+workloads in PARSEC3 [3]_ and SPLASH-2X [4]_ benchmark suites, respectively.  I
+use another wrapper scripts [5]_ for convenient setup and run of the workloads.
+
+Measurement
+-----------
+
+For the measurement of the amount of consumed memory in system global scope, I
+drop caches before starting each of the workloads and monitor 'MemFree' in the
+'/proc/meminfo' file.  To make results more stable, I repeat the runs 5 times
+and average results.
+
+Configurations
+--------------
+
+The configurations I use are as below.
+
+- orig: Linux v5.5 with 'madvise' THP policy
+- rec: 'orig' plus DAMON running with record feature
+- thp: same with 'orig', but use 'always' THP policy
+- ethp: 'orig' plus a DAMON operation scheme, 'efficient THP'
+- prcl: 'orig' plus a DAMON operation scheme, 'proactive reclaim [6]_'
+
+I use 'rec' for measurement of DAMON overheads to target workloads and system
+memory.  The remaining configs including 'thp', 'ethp', and 'prcl' are for
+measurement of DAMON monitoring accuracy.
+
+'ethp' and 'prcl' are simple DAMON-based operation schemes developed for
+proof of concepts of DAMON.  'ethp' reduces memory space waste of THP by using
+DAMON for the decision of promotions and demotion for huge pages, while 'prcl'
+is as similar as the original work.  Those are implemented as below::
+
+    # format: <min/max size> <min/max frequency (0-100)> <min/max age> <action>
+    # ethp: Use huge pages if a region >2MB shows >5% access rate, use regular
+    # pages if a region >2MB shows <5% access rate for >2 seconds
+    2M      null    5       null    null    null    hugepage
+    2M      null    null    5       13s      null    nohugepage
+
+    # prcl: If a region >4KB shows <5% access rate for >7 seconds, page out.
+    4K null    null 5    7s null      pageout
+
+Note that both 'ethp' and 'prcl' are designed with my only straightforward
+intuition because those are for only proof of concepts and monitoring accuracy
+of DAMON.  In other words, those are not for production.  For production use,
+those should be more tuned.
+
+.. [1] "Redis latency problems troubleshooting", https://redis.io/topics/latency
+.. [2] "Disable Transparent Huge Pages (THP)",
+    https://docs.mongodb.com/manual/tutorial/transparent-huge-pages/
+.. [3] "The PARSEC Becnhmark Suite", https://parsec.cs.princeton.edu/index.htm
+.. [4] "SPLASH-2x", https://parsec.cs.princeton.edu/parsec3-doc.htm#splash2x
+.. [5] "parsec3_on_ubuntu", https://github.com/sjp38/parsec3_on_ubuntu
+.. [6] "Proactively reclaiming idle memory", https://lwn.net/Articles/787611/
+
+Results
+=======
+
+Below two tables show the measurement results.  The runtimes are in seconds
+while the memory usages are in KiB.  Each configuration except 'orig' shows
+its overhead relative to 'orig' in percent within parenthesizes.::
+
+    runtime                 orig     rec      (overhead) thp      (overhead) ethp     (overhead) prcl     (overhead)
+    parsec3/blackscholes    106.888  108.158  (1.19)     107.082  (0.18)     107.429  (0.51)     115.307  (7.88)
+    parsec3/bodytrack       79.235   79.631   (0.50)     79.379   (0.18)     79.368   (0.17)     80.493   (1.59)
+    parsec3/canneal         139.014  140.668  (1.19)     122.524  (-11.86)   134.214  (-3.45)    143.914  (3.52)
+    parsec3/dedup           11.883   11.933   (0.42)     11.737   (-1.23)    11.904   (0.18)     13.236   (11.39)
+    parsec3/facesim         208.675  209.123  (0.21)     205.758  (-1.40)    207.150  (-0.73)    210.075  (0.67)
+    parsec3/ferret          190.099  191.667  (0.82)     190.354  (0.13)     191.256  (0.61)     192.305  (1.16)
+    parsec3/fluidanimate    211.297  212.724  (0.68)     209.383  (-0.91)    212.653  (0.64)     212.622  (0.63)
+    parsec3/freqmine        290.441  292.775  (0.80)     289.952  (-0.17)    291.501  (0.36)     296.205  (1.98)
+    parsec3/raytrace        119.029  119.661  (0.53)     119.551  (0.44)     120.368  (1.12)     133.943  (12.53)
+    parsec3/streamcluster   323.952  328.647  (1.45)     284.653  (-12.13)   289.881  (-10.52)   328.274  (1.33)
+    parsec3/swaptions       154.964  155.210  (0.16)     155.238  (0.18)     155.839  (0.56)     156.107  (0.74)
+    parsec3/vips            59.052   58.983   (-0.12)    58.950   (-0.17)    58.967   (-0.14)    59.978   (1.57)
+    parsec3/x264            72.536   69.273   (-4.50)    63.240   (-12.82)   71.688   (-1.17)    68.089   (-6.13)
+    splash2x/barnes         80.328   81.241   (1.14)     74.921   (-6.73)    78.784   (-1.92)    110.985  (38.16)
+    splash2x/fft            33.250   33.527   (0.83)     23.007   (-30.81)   32.634   (-1.85)    40.968   (23.21)
+    splash2x/lu_cb          85.438   85.634   (0.23)     85.112   (-0.38)    85.972   (0.63)     90.131   (5.49)
+    splash2x/lu_ncb         92.407   93.775   (1.48)     90.297   (-2.28)    93.443   (1.12)     94.041   (1.77)
+    splash2x/ocean_cp       44.578   44.827   (0.56)     43.087   (-3.35)    43.977   (-1.35)    45.840   (2.83)
+    splash2x/ocean_ncp      82.248   81.990   (-0.31)    51.128   (-37.84)   64.951   (-21.03)   112.929  (37.30)
+    splash2x/radiosity      91.234   91.869   (0.70)     90.466   (-0.84)    91.623   (0.43)     104.004  (14.00)
+    splash2x/radix          31.340   31.533   (0.61)     25.151   (-19.75)   29.634   (-5.44)    41.771   (33.28)
+    splash2x/raytrace       84.232   84.939   (0.84)     82.813   (-1.69)    83.432   (-0.95)    85.422   (1.41)
+    splash2x/volrend        87.056   88.313   (1.44)     86.126   (-1.07)    87.473   (0.48)     88.180   (1.29)
+    splash2x/water_nsquared 232.762  234.777  (0.87)     220.799  (-5.14)    222.883  (-4.24)    235.231  (1.06)
+    splash2x/water_spatial  89.835   89.925   (0.10)     89.730   (-0.12)    89.643   (-0.21)    97.167   (8.16)
+    total                   3001.780 3020.810 (0.63)     2860.450 (-4.71)    2936.640 (-2.17)    3157.220 (5.18)
+
+
+    memused.avg             orig         rec          (overhead) thp          (overhead) ethp         (overhead) prcl         (overhead)
+    parsec3/blackscholes    1820134.000  1830056.000  (0.55)     1820762.000  (0.03)     1833280.400  (0.72)     1620112.200  (-10.99)
+    parsec3/bodytrack       1419200.200  1430358.200  (0.79)     1415382.400  (-0.27)    1431830.400  (0.89)     1428315.400  (0.64)
+    parsec3/canneal         1041700.200  1054783.600  (1.26)     1039941.200  (-0.17)    1049565.600  (0.76)     1051594.600  (0.95)
+    parsec3/dedup           2403454.400  2413097.800  (0.40)     2411733.600  (0.34)     2404252.000  (0.03)     2412274.600  (0.37)
+    parsec3/facesim         539662.800   552780.800   (2.43)     540933.200   (0.24)     550971.400   (2.10)     548370.000   (1.61)
+    parsec3/ferret          320565.800   331712.000   (3.48)     319322.600   (-0.39)    332973.200   (3.87)     331142.000   (3.30)
+    parsec3/fluidanimate    572426.400   584585.200   (2.12)     575249.600   (0.49)     584782.000   (2.16)     574169.400   (0.30)
+    parsec3/freqmine        985943.600   998553.400   (1.28)     1028516.600  (4.32)     998298.000   (1.25)     765104.200   (-22.40)
+    parsec3/raytrace        1747157.200  1757628.000  (0.60)     1743396.200  (-0.22)    1754790.600  (0.44)     1569932.000  (-10.14)
+    parsec3/streamcluster   121307.000   134103.200   (10.55)    118746.200   (-2.11)    133971.600   (10.44)    132233.400   (9.01)
+    parsec3/swaptions       14363.400    26875.400    (87.11)    14055.000    (-2.15)    26496.200    (84.47)    27033.800    (88.21)
+    parsec3/vips            2945431.400  2963379.200  (0.61)     2956226.200  (0.37)     2943295.800  (-0.07)    2957360.400  (0.41)
+    parsec3/x264            3191271.200  3196683.800  (0.17)     3161188.400  (-0.94)    3200352.000  (0.28)     3184628.600  (-0.21)
+    splash2x/barnes         1213799.200  1216094.000  (0.19)     1217834.800  (0.33)     1212186.200  (-0.13)    928636.400   (-23.49)
+    splash2x/fft            9462681.600  9183411.000  (-2.95)    9265091.400  (-2.09)    9166673.600  (-3.13)    9424556.600  (-0.40)
+    splash2x/lu_cb          515952.400   521722.600   (1.12)     520563.600   (0.89)     520948.600   (0.97)     335968.400   (-34.88)
+    splash2x/lu_ncb         515638.000   522689.600   (1.37)     521192.200   (1.08)     523513.600   (1.53)     523046.000   (1.44)
+    splash2x/ocean_cp       3349483.000  3290003.000  (-1.78)    3380084.400  (0.91)     3340689.800  (-0.26)    3292473.200  (-1.70)
+    splash2x/ocean_ncp      3895485.600  3871371.400  (-0.62)    7066323.600  (81.40)    4970278.200  (27.59)    3637734.400  (-6.62)
+    splash2x/radiosity      1472652.200  1470431.600  (-0.15)    1482235.000  (0.65)     1471199.800  (-0.10)    513667.600   (-65.12)
+    splash2x/radix          1692530.000  1686171.200  (-0.38)    1382322.000  (-18.33)   1583722.600  (-6.43)    1892434.400  (11.81)
+    splash2x/raytrace       46488.400    58600.600    (26.05)    51538.200    (10.86)    60059.400    (29.19)    55203.000    (18.75)
+    splash2x/volrend        150022.400   166788.400   (11.18)    151466.000   (0.96)     163678.600   (9.10)     161593.400   (7.71)
+    splash2x/water_nsquared 49073.200    62559.000    (27.48)    60601.800    (23.49)    64762.800    (31.97)    53323.000    (8.66)
+    splash2x/water_spatial  666074.200   672698.600   (0.99)     668054.000   (0.30)     673098.200   (1.05)     536452.200   (-19.46)
+    total                   40152600.000 39997300.000 (-0.39)    42912754.000 (6.87)     40995700.000 (2.10)     37957300.000 (-5.47)
+
+
+DAMON Overheads
+---------------
+
+In total, DAMON recording feature incurs 0.63% runtime overhead and -0.39%
+memory space overhead.
+
+For a convenience test run of 'rec', I use a Python wrapper.  The wrapper
+constantly consumes about 10-15MB of memory.  This becomes a high memory
+overhead if the target workload has a small memory footprint.  Nonetheless, the
+overheads are not from DAMON, but from the wrapper, and thus should be ignored.
+This fake memory overhead continues in 'ethp' and 'prcl', as those
+configurations are also using the Python wrapper.
+
+
+Efficient THP
+-------------
+
+THP 'always' enabled policy achieves 4.71% speedup but incurs 6.87% memory
+overhead.  It achieves 37.84% speedup in the best case, but 81.40% memory
+overhead in the worst case.  Interestingly, both the best and worst-case are
+with 'splash2x/ocean_ncp').
+
+The 2-lines implementation of data access monitoring based THP version ('ethp')
+shows 2.17% speedup and 2.10% memory overhead.  In other words, 'ethp' removes
+69.43% of THP memory waste while preserving 46.07% of THP speedup in total.  In
+the case of the 'splash2x/ocean_ncp', 'ethp' removes 66.10% of THP memory waste
+while preserving 55.57% of THP speedup.
+
+
+Proactive Reclamation
+---------------------
+
+As same to the original work, I use 'zram' swap device for this configuration.
+
+In total, our 1 line implementation of Proactive Reclamation, 'prcl', incurred
+5.18% runtime overhead in total while achieving 5.47% system memory usage
+reduction.
+
+Nonetheless, as the memory usage is calculated with 'MemFree' in
+'/proc/meminfo', it contains the SwapCached pages.  As the swapcached pages can
+be easily evicted, I also measured the residential set size of the workloads::
+
+    rss.avg                 orig         rec          (overhead) thp          (overhead) ethp         (overhead) prcl         (overhead)
+    parsec3/blackscholes    590255.400   590427.600   (0.03)     592919.200   (0.45)     589924.600   (-0.06)    272620.800   (-53.81)
+    parsec3/bodytrack       32331.400    32280.200    (-0.16)    32304.600    (-0.08)    32295.600    (-0.11)    25386.400    (-21.48)
+    parsec3/canneal         839327.800   840517.600   (0.14)     837729.400   (-0.19)    839485.000   (0.02)     838981.200   (-0.04)
+    parsec3/dedup           1214897.200  1205565.200  (-0.77)    1231421.600  (1.36)     1206902.400  (-0.66)    909662.200   (-25.12)
+    parsec3/facesim         311656.600   310912.800   (-0.24)    314467.200   (0.90)     312564.200   (0.29)     308407.800   (-1.04)
+    parsec3/ferret          99738.600    99711.000    (-0.03)    101068.200   (1.33)     100018.200   (0.28)     90036.000    (-9.73)
+    parsec3/fluidanimate    531879.200   531871.200   (-0.00)    531891.000   (0.00)     532066.000   (0.04)     521523.000   (-1.95)
+    parsec3/freqmine        552169.800   553773.200   (0.29)     556495.800   (0.78)     553485.800   (0.24)     59071.000    (-89.30)
+    parsec3/raytrace        894327.600   894141.000   (-0.02)    890956.000   (-0.38)    892035.400   (-0.26)    303397.200   (-66.08)
+    parsec3/streamcluster   110943.200   110954.000   (0.01)     111407.400   (0.42)     111340.000   (0.36)     109841.000   (-0.99)
+    parsec3/swaptions       5680.000     5563.800     (-2.05)    5660.200     (-0.35)    5658.200     (-0.38)    3846.000     (-32.29)
+    parsec3/vips            31890.400    32098.200    (0.65)     32154.600    (0.83)     32321.600    (1.35)     29437.400    (-7.69)
+    parsec3/x264            81907.200    81854.000    (-0.06)    83120.400    (1.48)     82805.600    (1.10)     81796.200    (-0.14)
+    splash2x/barnes         1216312.800  1215561.000  (-0.06)    1224936.000  (0.71)     1219227.600  (0.24)     576351.600   (-52.61)
+    splash2x/fft            9587848.800  9587352.000  (-0.01)    9646184.400  (0.61)     9625447.600  (0.39)     7134239.600  (-25.59)
+    splash2x/lu_cb          510697.400   510591.800   (-0.02)    514411.400   (0.73)     510292.400   (-0.08)    314724.000   (-38.37)
+    splash2x/lu_ncb         510252.600   510340.200   (0.02)     513900.400   (0.71)     510359.200   (0.02)     510247.400   (-0.00)
+    splash2x/ocean_cp       3411545.800  3408327.400  (-0.09)    3441360.800  (0.87)     3394161.600  (-0.51)    3333649.000  (-2.28)
+    splash2x/ocean_ncp      3931731.200  3921194.600  (-0.27)    7178746.200  (82.58)    5099068.400  (29.69)    3157059.400  (-19.70)
+    splash2x/radiosity      1476138.800  1472629.200  (-0.24)    1485801.000  (0.65)     1477227.000  (0.07)     229545.600   (-84.45)
+    splash2x/radix          1757003.200  1760448.800  (0.20)     1435953.000  (-18.27)   1661870.000  (-5.41)    1456666.000  (-17.09)
+    splash2x/raytrace       23309.600    23310.400    (0.00)     28946.400    (24.18)    26803.600    (14.99)    15641.800    (-32.90)
+    splash2x/volrend        44090.600    44095.800    (0.01)     44491.400    (0.91)     44292.200    (0.46)     32785.000    (-25.64)
+    splash2x/water_nsquared 29437.600    29428.000    (-0.03)    29851.200    (1.41)     29746.600    (1.05)     26154.600    (-11.15)
+    splash2x/water_spatial  656379.400   656150.200   (-0.03)    656559.000   (0.03)     656055.200   (-0.05)    484139.600   (-26.24)
+    total                   28451700.000 28429000.000 (-0.08)    31522759.000 (10.79)    29545600.000 (3.84)     20825100.000 (-26.81)
+
+In total, 26.81% of residential sets were reduced.
+
+With parsec3/freqmine, 'prcl' reduced 89.30% of residential sets and 22.40% of
+system memory usage while incurring only 1.98% runtime overhead.
diff --git a/Documentation/admin-guide/mm/damon/faq.rst b/Documentation/admin-guide/mm/damon/faq.rst
new file mode 100644
index 000000000000..7ea52d1078a0
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/faq.rst
@@ -0,0 +1,39 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+==========================
+Frequently Asked Questions
+==========================
+
+Why a new module, instead of extending perf or other user space tools?
+======================================================================
+
+First, because it needs to be lightweight as much as possible so that it can be
+used online, any unnecessary overhead such as kernel - user space context
+switching cost should be avoided.  Second, DAMON aims to be used by other
+programs including the kernel.  Therefore, having a dependency on specific
+tools like perf is not desirable.  These are the two biggest reasons why DAMON
+is implemented in the kernel space.
+
+
+Can 'idle pages tracking' or 'perf mem' substitute DAMON?
+=========================================================
+
+Idle page tracking is a low level primitive for access check of each physical
+page frame.  'perf mem' is similar, though it can use sampling to minimize the
+overhead.  DAMON is a higher-level framework for access patterns of data objects
+that focused on memory management optimization and providing sophisticated
+features for that including the overhead handling.  Therefore, 'idle pages
+tracking' and 'perf mem' could provide a subset of DAMON's output, but cannot
+substitute DAMON.  Rather than that, DAMON could use those as it's low-level
+primitives.
+
+
+Does DAMON support virtual memory only?
+========================================
+
+For now, yes.  But, DAMON will be able to support various address spaces
+including physical memory in near future.  An RFC patchset [1]_ for this
+extension is already available.  Please refer :doc:`plans` for detailed plan
+for this.
+
+.. [1] https://lore.kernel.org/linux-mm/20200409094232.29680-1-sjpark@amazon.com/
diff --git a/Documentation/admin-guide/mm/damon/freqmine_heatmap.png b/Documentation/admin-guide/mm/damon/freqmine_heatmap.png
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diff --git a/Documentation/admin-guide/mm/damon/guide.rst b/Documentation/admin-guide/mm/damon/guide.rst
new file mode 100644
index 000000000000..4a840d1b02d4
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/guide.rst
@@ -0,0 +1,196 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+====================
+The Beginner's Guide
+====================
+
+This document is to help you estimating the amount of benefit that you could
+get from DAMON, and to let you know how you could maximize the improvement.
+You are assumed to already read :doc:`start`.
+
+
+Check The Signs
+===============
+
+DAMON cannot provide the same amount of benefit to every workload.  Therefore
+you should first guess how much improvements you could get using DAMON.  If
+some of the below conditions match your situation, you could consider the use
+of DAMON.
+
+
+- *Low IPC and High Cache Miss Ratios.*  Low IPC means most of the CPU time is
+  spent waiting for the completion of time-consuming operations such as memory
+  access, while high cache miss ratios mean the caches don't help it well.
+  DAMON is not for cache level optimization, but DRAM level.  However,
+  improving DRAM management will also help this case by reducing the memory
+  operation latency.
+- *Memory Over-commitment and Unknown Users.*  If you are doing memory
+  overcommitment and you cannot control every user of your system, a memory
+  bank run could happen at any time.  You can estimate when it will happen
+  based on DAMON's monitoring results and act earlier to avoid or deal better
+  with the crisis.
+- *Frequent Memory Pressure.*  Frequent memory pressure means the wrong
+  configuration or existence of memory hogs.  DAMON will help you find the
+  right configuration and/or the criminals.
+- *Heterogeneous Memory System.*  If your system is utilizing memory devices
+  that placed between DRAM and traditional hard disks, such as non-volatile
+  memory or fast SSDs, DAMON could help you utilizing the devices more
+  efficiently.
+
+
+Profile
+=======
+
+If you found some positive signals, you could start by profiling your workloads
+using DAMON.  Find major workloads on your systems and analyze their data
+access pattern to find something wrong or can be improved.  The DAMON user
+space tool (``damo``) will be enough for this.
+
+We recommend you to start from working set size distribution check using ``damo
+report wss``.  If the distribution is ununiform or quite different from what
+you estimated, you could consider `Memory Configuration`_ optimization.
+
+Then, review the overall access pattern in heatmap form using ``damo report
+heats``.  If it shows a simple pattern consists of a small number of memory
+regions having high contrast of access temperature, you could consider `Manual
+Program Optimization`_.
+
+You don't need to take only one approach among the above plans, but you could
+use multiple of the above approaches to maximize the benefit.  If you still
+want to absorb more benefits, you should develop `Personalized DAMON
+Application`_ for your special case.
+
+
+Optimize
+========
+
+If the profiling result also says it's worth trying some optimization, you
+could consider the below approaches.  Note that some of the below approaches
+assume that your systems are configured with swap devices or other types of
+auxiliary memory so that you don't need to accommodate the whole working set in
+the main memory.  Most of the detailed optimization should be made on your
+concrete understanding of your swap and/or your auxiliary memory performance.
+
+
+Memory Configuration
+--------------------
+
+DRAM is highly performance critical but expensive and heavily consumes the
+power.  However, knowing the real important working set size is hard and thus
+people usually equips unnecessarily large or too small DRAM.  So many problems
+come from such wrong configurations.
+
+Using the working set size distribution report provided by ``damo report wss``,
+you can know the real needs and make reasonable tradeoffs.  For example,
+roughly speaking, if you worry about only 95 percentile latency, you don't need
+to equip DRAM of a size larger than 95 percentile working set size.  If you
+were suffered from frequent memory pressure, you will also easily know how much
+DRAM you should buy.
+
+Let's see a real example.  Below are the heatmap and the working set size
+distributions/changes of ``freqmine`` workload in PARSEC3 benchmark suite.  The
+working set size spikes up to 700 MiB, but keeps smaller than 100 MiB for more
+than 95% of the time.  Even though you give only 100 MiB of memory space to the
+workload, it will work well for 95% of the time.  Meanwhile, you can save the
+600 MiB of memory space.
+
+.. list-table::
+
+   * - .. kernel-figure::  freqmine_heatmap.png
+          :alt:   the access pattern in heatmap format
+          :align: center
+
+          The access pattern in heatmap format.
+
+     - .. kernel-figure::  freqmine_wss_sz.png
+          :alt:    the distribution of working set size
+          :align: center
+
+          The distribution of working set size.
+
+     - .. kernel-figure::  freqmine_wss_time.png
+          :alt:    the chronological changes of working set size
+          :align: center
+
+          The chronological changes of working set size.
+
+
+Program Modification
+--------------------
+
+If the data access pattern heatmap plotted using ``damo report heats`` is quite
+simple and clear, you could be able to know how the thing is going in the
+workload, and how you could make optimize memory management.
+
+For example, suppose that the workload has two big memory object but only one
+object is frequently accessed while the other is only occasionally scanned.
+Then, you could modify the program source code to invoke ``mlock()`` or
+``madvise()`` with ``WILLNEED`` system call for the hot object.  Or, you could
+use ``madvise()`` with ``MADV_COLD`` or ``MADV_PAGEOUT`` for the cold objects.
+Using both together would be also worth trying.
+
+A previous work [1]_ using the ``mlock()`` achieved up to 2.55x performance
+speedup.
+
+Let's see another realistic example access pattern for this kind of
+optimizations.  Below are the visualized access patterns of streamcluster
+workload in PARSEC3 benchmark suite.  We can easily see a 100 MiB sized memory
+object is the hot object.
+
+.. list-table::
+
+   * - .. kernel-figure::  streamcluster_heatmap.png
+          :alt:   the access pattern in heatmap format
+          :align: center
+
+          The access pattern in heatmap format.
+
+     - .. kernel-figure::  streamcluster_wss_sz.png
+          :alt:    the distribution of working set size
+          :align: center
+
+          The distribution of working set size.
+
+     - .. kernel-figure::  streamcluster_wss_time.png
+          :alt:    the chronological changes of working set size
+          :align: center
+
+          The chronological changes of working set size.
+
+
+Personalized DAMON Application
+------------------------------
+
+Below approaches will work well for many cases, but would not be able to
+squeeze the last benefit in some special cases because only very simple
+optimizations are available.
+
+If this is the case, it might be the time to forget the comfortable use of the
+user space tool and dive into the debugfs interface (refer to :doc:`usage` for
+the detail) of DAMON.  Using the interface, you can control the DAMON more
+flexibly.  Therefore, you can write your personalized DAMON application that
+controls the monitoring via the debugfs interface, analyzes the result, and
+apply complex optimizations itself.  Using this, you will be able to make more
+creative and wise optimizations.
+
+If you are kernel space programmer, writing kernel space DAMON applications
+using the API (refer to :doc:`api` for more detail) would be also an option.
+
+
+Reference Practices
+===================
+
+Referencing previously done successful practices could help you getting the
+sense for this kind of optimizations.  There is an academic paper [1]_
+previously reported the visualized access pattern and `Manual Program
+Optimization`_ results for a number of realistic workloads.  You can also get
+the visualized access pattern [4]_, [5]_, [6]_ and `Automated DAMON-based
+Memory Operations`_ results for other realistic workloads that collected with
+latest version of DAMON [2]_, [3]_.
+
+.. [1] https://dl.acm.org/doi/10.1145/3366626.3368125
+.. [2] https://damonitor.github.io/test/result/perf/latest/html/
+.. [3] https://lore.kernel.org/linux-mm/20200512115343.27699-1-sjpark@amazon.com/
+.. [4] https://damonitor.github.io/test/result/visual/latest/heatmap.1.html
+.. [5] https://damonitor.github.io/test/result/visual/latest/wss_sz.html
+.. [6] https://damonitor.github.io/test/result/visual/latest/wss_time.html
diff --git a/Documentation/admin-guide/mm/damon/index.rst b/Documentation/admin-guide/mm/damon/index.rst
new file mode 100644
index 000000000000..eff50714bbd0
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/index.rst
@@ -0,0 +1,36 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+==========================
+DAMON: Data Access MONitor
+==========================
+
+DAMON is a data access monitoring framework subsystem for the Linux kernel.
+The core mechanisms of DAMON called 'region based sampling' and adaptive
+regions adjustment' (refer to :doc:`mechanisms` for the detail) make it
+
+ - *accurate* (The monitored information is useful for DRAM level memory
+   management; It might not appropriate for Cache-level accuracy, though),
+ - *ligfht-weight* (The monitoring overhead is low enough to be applied online
+   while making no impact on the performance of the target workloads), and
+ - *scalable* (The upper-bound of the instrumentation overhead is controllable
+   regardless of the size of target workloads).
+
+Using this framework, therefore, the kernel's core memory management mechanisms
+including reclamation and THP can be optimized for better memory management.
+The experimental memory management optimization works that incurring high
+instrumentation overhead will be able to have another try.  In user space,
+meanwhile, users who have some special workloads will be able to write
+personalized tools or applications for deeper understanding and specialized
+optimizations of their systems.
+
+.. toctree::
+   :maxdepth: 2
+
+   start
+   guide
+   usage
+   api
+   faq
+   mechanisms
+   eval
+   plans
diff --git a/Documentation/admin-guide/mm/damon/mechanisms.rst b/Documentation/admin-guide/mm/damon/mechanisms.rst
new file mode 100644
index 000000000000..f0bc52c698a6
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/mechanisms.rst
@@ -0,0 +1,111 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+==========
+Mechanisms
+==========
+
+This document describes the core mechanisms of DAMON and the five knobs for
+tuning, that is, ``sampling interval``, ``aggregation interval``, ``regions
+update interval``, ``minimum number of regions``, and ``maximum number of
+regions``.
+
+
+Basic Access Check
+==================
+
+The output of DAMON says what pages are how frequently accessed for a given
+duration.  The resolution of the access frequency is controlled by setting
+``sampling interval`` and ``aggregation interval``.  In detail,
+DAMON checks access to each page per ``sampling interval``, aggregates the
+results.  In other words, counts the number of the accesses to each page.
+After each ``aggregation interval`` passes, DAMON signals users to read and
+save the aggregated access frequency if they want and then clears those.  For
+the access check of each page, DAMON uses the Accessed bits of PTEs.  This can
+be described in below simple pseudo-code::
+
+    while monitoring_on:
+        for page in monitoring_target:
+            if accessed(page):
+                nr_accesses[page] += 1
+        if time() % aggregation_interval == 0:
+            for page in monitoring_target:
+                nr_accesses[page] = 0
+        sleep(sampling interval)
+
+The monitoring overhead of this mechanism will arbitrarily increase as the
+size of the target workload grows.
+
+
+Region Based Sampling
+=====================
+
+To avoid the unbounded increase of the overhead, DAMON groups adjacent pages
+that assumed to have the same access frequencies into a region.  As long as the
+assumption (pages in a region have the same access frequencies) is kept, only
+one page in the region is required to be checked.  Thus, for each ``sampling
+interval``, DAMON randomly picks one page in each region, waits for one
+``sampling interval``, checks whether the page is accessed meanwhile, and
+increases the access frequency of the region if so.  Therefore, the monitoring
+overhead is controllable by setting the number of regions.  DAMON allows users
+to set the minimum and the maximum number of regions for the trade-off.
+
+This scheme, however, cannot preserve the quality of the output if the
+assumption is not guaranteed.
+
+
+Adaptive Regions Adjustment
+===========================
+
+At the beginning of the monitoring, DAMON constructs the initial regions by
+evenly splitting the monitoring target memory region into the user-specified
+minimum number of regions.  In this initial state, the assumption is normally
+not kept and therefore the quality would be low.  To keep the assumption as
+much as possible, DAMON adaptively merges and splits each region based on their
+access frequency.
+
+For each ``aggregation interval``, it compares the access frequencies of
+adjacent regions and merges those if the frequency difference is small.  Then,
+after it reports and clears the aggregated access frequency of each region, it
+splits each region into two or three regions if the total number of regions
+will not exceed the user-specified maximum number of regions after the split.
+
+In this way, DAMON provides its best-effort quality and minimal overhead while
+keeping the bounds users set for their trade-off.
+
+
+Handling Virtual Memory Mappings
+================================
+
+This is for monitoring of virtual memory address space only.  It is the only
+one address space that supported by DAMON as of now, but other address spaces
+will be supported in the future.
+
+Only small parts in the super-huge virtual address space of the processes are
+mapped to physical memory and accessed.  Thus, tracking the unmapped address
+regions is just wasteful.  However, because DAMON can deal with some level of
+noise using the adaptive regions adjustment mechanism, tracking every mapping
+is not strictly required but could even incur a high overhead in some cases.
+That said, too huge unmapped areas inside the monitoring target should be
+removed to not take the time for the adaptive mechanism.
+
+For the reason, DAMON converts the complex mappings to three distinct regions
+that cover every mapped area of the address space.  Also, the two gaps between
+the three regions are the two biggest unmapped areas in the given address
+space.  The two biggest unmapped areas might be the gap between the heap and
+the uppermost mmap()-ed region, and the gap between the lowermost mmap()-ed
+region and the stack will be two biggest unmapped regions.  Because these gaps
+are exceptionally huge areas in usual address space, excluding these two
+biggest unmapped regions will be sufficient to make a trade-off.  Below shows
+this in detail::
+
+    <heap>
+    <BIG UNMAPPED REGION 1>
+    <uppermost mmap()-ed region>
+    (small mmap()-ed regions and munmap()-ed regions)
+    <lowermost mmap()-ed region>
+    <BIG UNMAPPED REGION 2>
+    <stack>
+
+To further minimize dynamic mapping changes applying overhead, DAMON checks the
+dynamic memory mapping changes and applies it to the abstracted target area
+only for each of a user-specified time interval (``regions update interval``).
diff --git a/Documentation/admin-guide/mm/damon/plans.rst b/Documentation/admin-guide/mm/damon/plans.rst
new file mode 100644
index 000000000000..96251752b3f0
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/plans.rst
@@ -0,0 +1,49 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+============
+Future Plans
+============
+
+DAMON is still on its first stage.  Below plans are still under development.
+
+
+Automate Data Access Monitoring-based Memory Operation Schemes Execution
+========================================================================
+
+The ultimate goal of DAMON is being used as a building block of the data access
+pattern aware kernel memory management subsystem optimization.  However, as
+always, some users having very special workloads will want to do their
+optimization.  DAMON will automate most of the tasks for such manual
+optimizations soon.  Users will be required to only describe what kind of data
+access pattern-based operation schemes they want in a simple form.
+
+By applying a very simple scheme for THP promotion/demotion with a prototype
+implementation, DAMON reduced 60% of THP memory footprint overhead while
+preserving 50% of the THP performance benefit.  The detailed results can be
+seen on an external web page [1]_.
+
+Several RFC patchsets for this plan are available [2]_.
+
+
+Support Various Address Spaces
+==============================
+
+Currently, DAMON supports only virtual memory address spaces because it
+utilizes PTE Accessed bits as its low-level access check primitive and ``struct
+vma`` as a way to address the monitoring target regions.  However, the core
+idea of DAMON is in a separate higher layer.  Therefore, DAMON can support
+other various address spaces by changing the two low primitives to others for
+the address spaces.
+
+In the future, DAMON will make the lower level primitives configurable so that
+it can support various address spaces including physical memory.  The
+configuration will be highly flexible so that users can even implement the
+primitives by themselves for their special use cases.  Monitoring of
+clean/dirty/entire page cache, NUMA nodes, specific files, or block devices
+would be examples of such use cases.
+
+An RFC patchset for this plan is available [3]_.
+
+.. [1] https://damonitor.github.io/test/result/perf/latest/html/
+.. [2] https://lore.kernel.org/linux-mm/20200429124540.32232-1-sjpark@amazon.com/
+.. [3] https://lore.kernel.org/linux-mm/20200409094232.29680-1-sjpark@amazon.com/
diff --git a/Documentation/admin-guide/mm/damon/start.rst b/Documentation/admin-guide/mm/damon/start.rst
new file mode 100644
index 000000000000..0f1a366ac245
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/start.rst
@@ -0,0 +1,119 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+===============
+Getting Started
+===============
+
+This document briefly describes how you can use DAMON by demonstrating the user
+space tool.  Please note that this document describes only a part of the
+features for brevity.  Please refer to :doc:`usage` for more details.
+
+
+TL; DR
+======
+
+Simply follow below 5 commands.  Don't forget replacing ``<your workload>``
+with your *real* workload, though. ::
+
+    $ git clone https://github.com/sjp38/linux -b damon/master
+    /* build the kernel with CONFIG_DAMON=y, install, reboot */
+    $ cd linux/tools/damon
+    $ ./damo record $(pidof <your workload>)
+    $ ./damo report heats --heatmap access_pattern.pdf
+    $ ./damo report wss --range 0 101 1 --plot wss_dist.pdf
+
+
+Prerequisites
+=============
+
+Kernel
+------
+
+You should first ensure your system is running on a kernel built with
+``CONFIG_DAMON``.  If the value is set as ``m``, you should load the module
+first::
+
+    # modprobe damon
+
+
+User Space Tool
+---------------
+
+For the demonstration, we will use a user space tool for the convenient use of
+DAMON, called DAMON Operator (DAMO).  It is located at ``tools/damon/damo`` of
+the kernel source tree.  We assume that you set ``$PATH`` to point it.  The
+``$PATH`` setting is not mandatory but we make the assumption here for the
+brevity of the below examples.
+
+Because DAMO is using the debugfs interface (refer to :doc:`usage` for the
+detail) of DAMON, you should also ensure debugfs is mounted.  Mount it manually
+as below::
+
+    # mount -t debugfs none /sys/kernel/debug/
+
+or append below line to your ``/etc/fstab`` file so that your system can
+automatically mount debugfs from next booting::
+
+    debugfs /sys/kernel/debug debugfs defaults 0 0
+
+
+Recording Data Access Patterns
+==============================
+
+Below commands record memory access pattern of a program, ``masim``, and save
+it in a file, ``damon.data``.  The program will access two 100 MiB memory
+regions one by one. ::
+
+    $ git clone https://github.com/sjp38/masim
+    $ cd masim; make; ./masim ./configs/zigzag.cfg &
+    $ sudo damo record -o damon.data $(pidof masim)
+
+The first two lines of commands start the monitoring target process in the
+background.  You can substitute this with your real workload.  The last line
+asks ``damo record`` to record the access pattern.
+
+
+Visualizing Recorded Patterns
+=============================
+
+Below three commands visualize the recorded access patterns into three
+image files, ``access_pattern_heatmap.png``, ``wss_dist.png``, and
+``wss_chron_change.png``. ::
+
+    $ damo report heats --heatmap -i damon.data access_pattern_heatmap.png
+    $ damo report wss --range 0 101 1 --plot wss_dist.png
+    $ damo report wss --range 0 101 1 --sortby time --plot wss_chron_change.png
+
+- ``access_pattern_heatmap.png`` will show the data access pattern in a
+  heatmap, which shows when (x-axis) what memory region (y-axis) is how
+  frequently accessed (color).
+- ``wss_dist.png`` will show the distribution of the working set size.
+- ``wss_chron_change.png`` will show how the working set size has
+  chronologically changed.
+
+Below are the three images.  You can show those made with other realistic
+workloads at external web pages [1]_ [2]_ [3]_.
+
+.. list-table::
+
+   * - .. kernel-figure::  damon_heatmap.png
+          :alt:   the access pattern in heatmap format
+          :align: center
+
+          The access pattern in heatmap format.
+
+     - .. kernel-figure::  damon_wss_dist.png
+          :alt:    the distribution of working set size
+          :align: center
+
+          The distribution of working set size.
+
+     - .. kernel-figure::  damon_wss_change.png
+          :alt:    the chronological changes of working set size
+          :align: center
+
+          The chronological changes of working set size.
+
+.. [1] https://damonitor.github.io/test/result/visual/latest/heatmap.1.html
+.. [2] https://damonitor.github.io/test/result/visual/latest/wss_sz.html
+.. [3] https://damonitor.github.io/test/result/visual/latest/wss_time.html
diff --git a/Documentation/admin-guide/mm/damon/streamcluster_heatmap.png b/Documentation/admin-guide/mm/damon/streamcluster_heatmap.png
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diff --git a/Documentation/admin-guide/mm/damon/usage.rst b/Documentation/admin-guide/mm/damon/usage.rst
new file mode 100644
index 000000000000..1aa4f66e4320
--- /dev/null
+++ b/Documentation/admin-guide/mm/damon/usage.rst
@@ -0,0 +1,305 @@ 
+.. SPDX-License-Identifier: GPL-2.0
+
+===============
+Detailed Usages
+===============
+
+DAMON provides below three interfaces for various use cases.
+
+- *DAMON user space tool.*
+  This is for privileged people such as system administrators who want a
+  just-working human-friendly interface.  This interface is a reference
+  implementation of the DAMON debugfs wrapper user space tool.  Using this
+  tool, you can easily use the DAMON’s major features in a human-friendly way,
+  though it may not be highly tuned for your specific use-cases.
+- *debugfs interface.*
+  This is for user space programmers who want optimized use of DAMON. Using
+  this interface, you can use DAMON’s major features by reading from and
+  writing to specific debugfs files.  Of course, you can write and use your
+  personalized DAMON debugfs wrapper user space tool that reads/writes the
+  debugfs files instead of you and provides a more human-friendly interface.
+- *Kernel Space Programming Interface.*
+  This is for kernel space programmers.  Using this, you can utilize every
+  feature of DAMON most flexibly and efficiently by writing kernel space
+  DAMON application programs for you.
+
+We recommend you to start with the DAMON user space tool and move to debugfs
+interface only if the real requirement is found, and prohibit the use of the
+kernel space programming interface unless you need it, for the following
+reasons.  First of all, there will be no big difference between the overheads
+of these three interfaces, unless the use case is so special.  Also, all these
+three interfaces support all major features of DAMON.
+
+This document, therefore, does not describe the kernel space programming
+interface in detail.  For the programming interface, please refer to :doc:`api`
+or ``include/linux/damon.h`` file in the kernel source tree.
+
+
+
+User Space Tool for DAMON
+=========================
+
+A reference implementation of the DAMON user space tool which provides a
+convenient user interface is located at ``tools/damon/damo`` in the kernel
+source tree.  Please note that this is initially aimed to be used for minimal
+reference of the DAMON's debugfs interfaces and for tests of the DAMON itself.
+Based on the debugfs interface, you can create another cool and more convenient
+user space tools.
+
+The interface of the tool is basically subcommand based.  You can almost always
+use ``-h`` option to get the help of the use of each subcommand.  Currently, it
+supports two subcommands, ``record`` and ``report``.
+
+Below example commands assume you set ``$PATH`` to points ``tools/damon/`` for
+brevity.  It is not mandatory for use of ``damo``, though.
+
+
+Recording Data Access Pattern
+-----------------------------
+
+The ``record`` subcommand records the data access pattern of target processes
+in a file (``./damon.data`` by default).  You can specify the target as either
+pid of running target or a command for execution of the process.  Below example
+shows a command target usage::
+
+    # cd <kernel>/tools/damon/
+    # damo record "sleep 5"
+
+The tool will execute ``sleep 5`` by itself and record the data access patterns
+of the process.  Below example shows a pid target usage::
+
+    # sleep 5 &
+    # damo record `pidof sleep`
+
+You can tune this by setting the monitoring attributes and path to the record
+file using optional arguments to the subcommand.  To know about the monitoring
+attributes in detail, please refer to :doc:`mechanisms`.
+
+
+Analyzing Data Access Pattern
+-----------------------------
+
+The ``report`` subcommand reads a data access pattern record file (if not
+explicitly specified, reads ``./damon.data`` file by default) and generates
+human-readable reports of various types.  You can specify what type of report
+you want using a sub-subcommand to ``report`` subcommand.  ``raw``, ``heats``,
+and ``wss`` report types are supported for now.
+
+
+raw
+~~~
+
+``raw`` sub-subcommand simply transforms the binary record into human-readable
+text.  For example::
+
+    $ damo report raw
+    start_time:  193485829398
+    rel time:                0
+    nr_tasks:  1
+    pid:  1348
+    nr_regions:  4
+    560189609000-56018abce000(  22827008):  0
+    7fbdff59a000-7fbdffaf1a00(   5601792):  0
+    7fbdffaf1a00-7fbdffbb5000(    800256):  1
+    7ffea0dc0000-7ffea0dfd000(    249856):  0
+
+    rel time:        100000731
+    nr_tasks:  1
+    pid:  1348
+    nr_regions:  6
+    560189609000-56018abce000(  22827008):  0
+    7fbdff59a000-7fbdff8ce933(   3361075):  0
+    7fbdff8ce933-7fbdffaf1a00(   2240717):  1
+    7fbdffaf1a00-7fbdffb66d99(    480153):  0
+    7fbdffb66d99-7fbdffbb5000(    320103):  1
+    7ffea0dc0000-7ffea0dfd000(    249856):  0
+
+The first line shows the recording started timestamp (nanosecond).  Records of
+data access patterns are following this.  Each record is separated by a blank
+line.  Each record first specifies the recorded time (``rel time``), the number
+of monitored tasks in this record (``nr_tasks``).  A numbers of records of data
+access patterns for each task follow.  Each data access pattern for each task
+shows it's pid (``pid``) and a number of monitored virtual address regions in
+this access pattern (``nr_regions``) first.  After that, each line shows the
+start/end address, size, and the number of monitored accesses to the region for
+each of the regions.
+
+
+heats
+~~~~~
+
+The ``raw`` output is very detailed but hard to manually read and analyze.
+``heats`` sub-subcommand plots the data in 3-dimensional form, which represents
+the time in x-axis, virtual address in y-axis, and the access frequency in
+z-axis.  Users can set the resolution of the map (``--tres`` and ``--ares``)
+and start/end point of each axis (``--tmin``, ``--tmax``, ``--amin``, and
+``--amax``) via optional arguments.  For example::
+
+    $ damo report heats --tres 3 --ares 3
+    0               0               0.0
+    0               7609002         0.0
+    0               15218004        0.0
+    66112620851     0               0.0
+    66112620851     7609002         0.0
+    66112620851     15218004        0.0
+    132225241702    0               0.0
+    132225241702    7609002         0.0
+    132225241702    15218004        0.0
+
+This command shows a recorded access pattern in heatmap of 3x3 resolution.
+Therefore it shows 9 data points in total.  Each line shows each of the data
+points.  The three numbers in each line represent time in nanosecond, virtual
+address in bytes, and the observed access frequency.
+
+Users can easily convert this text output into a heatmap image (represent z-axis
+values with colors) or other 3D representations using various tools such as
+'gnuplot'.  ``heats`` sub-subcommand also provides 'gnuplot' based heatmap
+image creation.  For this, you can use ``--heatmap`` option.  Also, note that
+because it uses 'gnuplot' internally, it will fail if 'gnuplot' is not
+installed on your system.  For example::
+
+    $ ./damo report heats --heatmap heatmap.png
+
+Creates ``heatmap.png`` file containing the heatmap image.  It supports
+``pdf``, ``png``, ``jpeg``, and ``svg``.
+
+If the target address space is virtual memory address space and you plot the
+entire address space, the huge unmapped regions will make the picture looks
+only black.  Therefore you should do proper zoom in / zoom out using the axis
+boundary-setting optional arguments.  To make this effort minimal, you can use
+``--guide`` option.  For example::
+
+    $ ./damo report heats --guide
+    pid:1348
+    time: 193485829398-198337863555 (4852034157)
+    region   0: 00000094564599762944-00000094564622589952 (22827008)
+    region   1: 00000140454009610240-00000140454016012288 (6402048)
+    region   2: 00000140731597193216-00000140731597443072 (249856)
+
+The output shows unions of monitored regions (start and end addresses in byte)
+and union of monitored time duration (start and end time in nanoseconds) of
+each target task.  Therefore, it would be wise to plot the data points in each
+union.  If no axis boundary option is given, it will automatically find the
+biggest union in ``--guide`` output and plot for it.
+
+
+wss
+~~~
+
+The ``wss`` type extracts the distribution and chronological working set size
+changes from the records.  For example::
+
+    $ ./damo report wss
+    # <percentile> <wss>
+    # pid   1348
+    # avr:  66228
+    0       0
+    25      0
+    50      0
+    75      0
+    100     1920615
+
+Without any option, it shows the distribution of the working set sizes as
+above.  It shows 0th, 25th, 50th, 75th, and 100th percentile and the average of
+the measured working set sizes in the access pattern records.  In this case,
+the working set size was zero for 75th percentile but 1,920,615 bytes in max
+and 66,228 bytes on average.
+
+By setting the sort key of the percentile using '--sortby', you can show how
+the working set size has chronologically changed.  For example::
+
+    $ ./damo report wss --sortby time
+    # <percentile> <wss>
+    # pid   1348
+    # avr:  66228
+    0       0
+    25      0
+    50      0
+    75      0
+    100     0
+
+The average is still 66,228.  And, because the access was spiked in very short
+duration but we use only 4 data points, we cannot show when the access spikes
+made.  Users can specify the resolution of the distribution (``--range``).  By
+giving more fine resolution, users will be able to see the short duration
+spikes.
+
+Similar to that of ``heats --heatmap``, it also supports 'gnuplot' based simple
+visualization of the distribution via ``--plot`` option.
+
+
+debugfs Interface
+=================
+
+DAMON exports four files, ``attrs``, ``pids``, ``record``, and ``monitor_on``
+under its debugfs directory, ``<debugfs>/damon/``.
+
+
+Attributes
+----------
+
+Users can get and set the ``sampling interval``, ``aggregation interval``,
+``regions update interval``, and min/max number of monitoring target regions by
+reading from and writing to the ``attrs`` file.  To know about the monitoring
+attributes in detail, please refer to :doc:`mechanisms`.  For example, below
+commands set those values to 5 ms, 100 ms, 1,000 ms, 10 and 1000, and then
+check it again::
+
+    # cd <debugfs>/damon
+    # echo 5000 100000 1000000 10 1000 > attrs
+    # cat attrs
+    5000 100000 1000000 10 1000
+
+
+Target PIDs
+-----------
+
+Users can get and set the pids of monitoring target processes by reading from
+and writing to the ``pids`` file.  For example, below commands set processes
+having pids 42 and 4242 as the processes to be monitored and check it again::
+
+    # cd <debugfs>/damon
+    # echo 42 4242 > pids
+    # cat pids
+    42 4242
+
+Note that setting the pids doesn't start the monitoring.
+
+
+Record
+------
+
+This debugfs file allows you to record monitored access patterns in a regular
+binary file.  The recorded results are first written to an in-memory buffer and
+flushed to a file in batch.  Users can get and set the size of the buffer and
+the path to the result file by reading from and writing to the ``record`` file.
+For example, below commands set the buffer to be 4 KiB and the result to be
+saved in ``/damon.data``. ::
+
+    # cd <debugfs>/damon
+    # echo "4096 /damon.data" > record
+    # cat record
+    4096 /damon.data
+
+
+Turning On/Off
+--------------
+
+Setting the attributes as described above doesn't incur effect unless you
+explicitly start the monitoring.  You can start, stop, and check the current
+status of the monitoring by writing to and reading from the ``monitor_on``
+file.  Writing ``on`` to the file make DAMON start monitoring of the target
+processes with the attributes.  Recording will also start if requested before.
+Writing ``off`` to the file stops those.  DAMON also stops if every target
+process is terminated.  Below example commands turn on, off, and check the
+status of DAMON::
+
+    # cd <debugfs>/damon
+    # echo on > monitor_on
+    # echo off > monitor_on
+    # cat monitor_on
+    off
+
+Please note that you cannot write to the above-mentioned debugfs files while
+the monitoring is turned on.  If you write to the files while DAMON is running,
+an error code such as ``-EBUSY`` will be returned.
diff --git a/Documentation/admin-guide/mm/index.rst b/Documentation/admin-guide/mm/index.rst
index 11db46448354..d3d0ba373eb6 100644
--- a/Documentation/admin-guide/mm/index.rst
+++ b/Documentation/admin-guide/mm/index.rst
@@ -27,6 +27,7 @@  the Linux memory management.
 
    concepts
    cma_debugfs
+   data_access_monitor
    hugetlbpage
    idle_page_tracking
    ksm