@@ -11,38 +11,6 @@ of its features for brevity. Please ref
details.
-TL; DR
-======
-
-Follow the commands below to monitor and visualize the memory access pattern of
-your workload. ::
-
- # # build the kernel with CONFIG_DAMON_*=y, install it, and reboot
- # mount -t debugfs none /sys/kernel/debug/
- # git clone https://github.com/awslabs/damo
- # ./damo/damo record $(pidof <your workload>)
- # ./damo/damo report heats --heatmap stdout
-
-The final command draws the access heatmap of ``<your workload>``. The heatmap
-shows which memory region (x-axis) is accessed when (y-axis) and how frequently
-(number; the higher the more accesses have been observed). ::
-
- 111111111111111111111111111111111111111111111111111111110000
- 111121111111111111111111111111211111111111111111111111110000
- 000000000000000000000000000000000000000000000000001555552000
- 000000000000000000000000000000000000000000000222223555552000
- 000000000000000000000000000000000000000011111677775000000000
- 000000000000000000000000000000000000000488888000000000000000
- 000000000000000000000000000000000177888400000000000000000000
- 000000000000000000000000000046666522222100000000000000000000
- 000000000000000000000014444344444300000000000000000000000000
- 000000000000000002222245555510000000000000000000000000000000
- # access_frequency: 0 1 2 3 4 5 6 7 8 9
- # x-axis: space (140286319947776-140286426374096: 101.496 MiB)
- # y-axis: time (605442256436361-605479951866441: 37.695430s)
- # resolution: 60x10 (1.692 MiB and 3.770s for each character)
-
-
Prerequisites
=============
@@ -93,22 +61,66 @@ pattern in the ``damon.data`` file.
Visualizing Recorded Patterns
=============================
-The following three commands visualize the recorded access patterns and save
-the results as separate image files. ::
-
- $ sudo damo report heats --heatmap access_pattern_heatmap.png
- $ sudo damo report wss --range 0 101 1 --plot wss_dist.png
- $ sudo damo report wss --range 0 101 1 --sortby time --plot wss_chron_change.png
-
-- ``access_pattern_heatmap.png`` will visualize the data access pattern in a
- heatmap, showing which memory region (y-axis) got accessed when (x-axis)
- and how frequently (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.
+You can visualize the pattern in a heatmap, showing which memory region
+(x-axis) got accessed when (y-axis) and how frequently (number).::
-You can view the visualizations of this example workload at [1]_.
-Visualizations of other realistic workloads are available at [2]_ [3]_ [4]_.
+ $ sudo damo report heats --heatmap stdout
+ 22222222222222222222222222222222222222211111111111111111111111111111111111111100
+ 44444444444444444444444444444444444444434444444444444444444444444444444444443200
+ 44444444444444444444444444444444444444433444444444444444444444444444444444444200
+ 33333333333333333333333333333333333333344555555555555555555555555555555555555200
+ 33333333333333333333333333333333333344444444444444444444444444444444444444444200
+ 22222222222222222222222222222222222223355555555555555555555555555555555555555200
+ 00000000000000000000000000000000000000288888888888888888888888888888888888888400
+ 00000000000000000000000000000000000000288888888888888888888888888888888888888400
+ 33333333333333333333333333333333333333355555555555555555555555555555555555555200
+ 88888888888888888888888888888888888888600000000000000000000000000000000000000000
+ 88888888888888888888888888888888888888600000000000000000000000000000000000000000
+ 33333333333333333333333333333333333333444444444444444444444444444444444444443200
+ 00000000000000000000000000000000000000288888888888888888888888888888888888888400
+ [...]
+ # access_frequency: 0 1 2 3 4 5 6 7 8 9
+ # x-axis: space (139728247021568-139728453431248: 196.848 MiB)
+ # y-axis: time (15256597248362-15326899978162: 1 m 10.303 s)
+ # resolution: 80x40 (2.461 MiB and 1.758 s for each character)
+
+You can also visualize the distribution of the working set size, sorted by the
+size.::
+
+ $ sudo damo report wss --range 0 101 10
+ # <percentile> <wss>
+ # target_id 18446632103789443072
+ # avr: 107.708 MiB
+ 0 0 B | |
+ 10 95.328 MiB |**************************** |
+ 20 95.332 MiB |**************************** |
+ 30 95.340 MiB |**************************** |
+ 40 95.387 MiB |**************************** |
+ 50 95.387 MiB |**************************** |
+ 60 95.398 MiB |**************************** |
+ 70 95.398 MiB |**************************** |
+ 80 95.504 MiB |**************************** |
+ 90 190.703 MiB |********************************************************* |
+ 100 196.875 MiB |***********************************************************|
+
+Using ``--sortby`` option with the above command, you can show how the working
+set size has chronologically changed.::
+
+ $ sudo damo report wss --range 0 101 10 --sortby time
+ # <percentile> <wss>
+ # target_id 18446632103789443072
+ # avr: 107.708 MiB
+ 0 3.051 MiB | |
+ 10 190.703 MiB |***********************************************************|
+ 20 95.336 MiB |***************************** |
+ 30 95.328 MiB |***************************** |
+ 40 95.387 MiB |***************************** |
+ 50 95.332 MiB |***************************** |
+ 60 95.320 MiB |***************************** |
+ 70 95.398 MiB |***************************** |
+ 80 95.398 MiB |***************************** |
+ 90 95.340 MiB |***************************** |
+ 100 95.398 MiB |***************************** |
Data Access Pattern Aware Memory Management
@@ -120,8 +132,3 @@ accessed for >=60 seconds in your worklo
$ echo "#min-size max-size min-acc max-acc min-age max-age action" > test_scheme
$ echo "4K max 0 0 60s max pageout" >> test_scheme
$ damo schemes -c test_scheme <pid of your workload>
-
-.. [1] https://damonitor.github.io/doc/html/v17/admin-guide/mm/damon/start.html#visualizing-recorded-patterns
-.. [2] https://damonitor.github.io/test/result/visual/latest/rec.heatmap.1.png.html
-.. [3] https://damonitor.github.io/test/result/visual/latest/rec.wss_sz.png.html
-.. [4] https://damonitor.github.io/test/result/visual/latest/rec.wss_time.png.html