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Date: Mon, 30 Mar 2020 12:53:48 +0200
From: SeongJae Park <sjpark@...zon.com>
To: SeongJae Park <sjpark@...zon.com>
CC: <akpm@...ux-foundation.org>, SeongJae Park <sjpark@...zon.de>,
<Jonathan.Cameron@...wei.com>, <aarcange@...hat.com>,
<acme@...nel.org>, <alexander.shishkin@...ux.intel.com>,
<amit@...nel.org>, <brendan.d.gregg@...il.com>,
<brendanhiggins@...gle.com>, <cai@....pw>,
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<yang.shi@...ux.alibaba.com>, <ying.huang@...el.com>,
<linux-mm@...ck.org>, <linux-doc@...r.kernel.org>,
<linux-kernel@...r.kernel.org>, <shakeelb@...gle.com>
Subject: Re: [PATCH v7 00/15] Introduce Data Access MONitor (DAMON)
On Wed, 18 Mar 2020 12:27:07 +0100 SeongJae Park <sjpark@...zon.com> wrote:
> From: SeongJae Park <sjpark@...zon.de>
>
> Introduction
> ============
>
> Memory management decisions can be improved if finer data access information is
> available. However, because such finer information usually comes with higher
> overhead, most systems including Linux forgives the potential benefit and rely
> on only coarse information or some light-weight heuristics. The pseudo-LRU and
> the aggressive THP promotions are such examples.
>
> A number of data access pattern awared memory management optimizations (refer
> to 'Appendix A' for more details) consistently say the potential benefit is not
> small. However, none of those has successfully merged to the mainline Linux
> kernel mainly due to the absence of a scalable and efficient data access
> monitoring mechanism. Refer to 'Appendix B' to see the limitations of existing
> memory monitoring mechanisms.
>
> DAMON is a data access monitoring subsystem for the problem. It is 1) accurate
> enough to be used for the DRAM level memory management (a straightforward
> DAMON-based optimization achieved up to 2.55x speedup), 2) light-weight enough
> to be applied online (compared to a straightforward access monitoring scheme,
> DAMON is up to 94,242.42x lighter) and 3) keeps predefined upper-bound overhead
> regardless of the size of target workloads (thus scalable). Refer to 'Appendix
> C' if you interested in how it is possible, and 'Appendix F' to know how the
> numbers collected.
>
> DAMON has mainly designed for the kernel's memory management mechanisms.
> However, because it is implemented as a standalone kernel module and provides
> several interfaces, it can be used by a wide range of users including kernel
> space programs, user space programs, programmers, and administrators. DAMON
> is now supporting the monitoring only, but it will also provide simple and
> convenient data access pattern awared memory managements by itself. Refer to
> 'Appendix D' for more detailed expected usages of DAMON.
There was no review but a few of comments from Shakeel in last week, and
therefore I made no change in this patchset. Instead, I'm preparing extending
DAMON for physical memory monitoring.
Also, I ran the whole evaluation tests including those for DAMON-based
operation schemes again, because this version (v7) patchset fixed an access
check related bug, thanks to Jonathan's finding, while the attached evaluation
results are measured with the previous version (v6). Overall, it shows only
subtle changes.
In short, v7 DAMON increases system memory footprint by 0.08%, make the target
workloads 0.25% slower. The numbers of v6 were -0.08% and 0.76%, respectively.
DAMON-based THP promotion/demotion scheme removes 100% memory overhead
of THP, and even shows 0.11% smaller system memory footprint, compared to THP
disabled case, while preserving 39.67% of THP speedup. The numbers of v6 were
83.66% and 40.67%, respectively.
DAMON-based proactive reclamation scheme reduced 22.96% of system memory
fooprint and 89.49% of residential sets while incurring only 2.45% runtime
overhead in best case (parsec3/freqmine). The numbers of v6 were 22.42%,
88.86% and 3.07%, respectively.
The detailed numbers are attached below. For the detailed numbers of v6, refer
to the CV of v6 DAMON patchset:
https://lore.kernel.org/linux-mm/20200318112722.30143-1-sjpark@amazon.com/
I hope this numbers make more REVIEWS/COMMENTS than my patchsets ;)
Thanks,
SeongJae Park
================================ >8 ===========================================
runtime orig rec (overhead) thp (overhead) ethp (overhead) prcl (overhead)
parsec3/blackscholes 107.594 107.956 (0.34) 106.750 (-0.78) 107.672 (0.07) 111.916 (4.02)
parsec3/bodytrack 79.230 79.368 (0.17) 78.908 (-0.41) 79.705 (0.60) 80.423 (1.50)
parsec3/canneal 142.831 143.810 (0.69) 123.530 (-13.51) 133.778 (-6.34) 144.998 (1.52)
parsec3/dedup 11.986 11.959 (-0.23) 11.762 (-1.87) 12.028 (0.35) 13.313 (11.07)
parsec3/facesim 210.125 209.007 (-0.53) 205.226 (-2.33) 207.766 (-1.12) 209.815 (-0.15)
parsec3/ferret 191.601 191.177 (-0.22) 190.420 (-0.62) 191.775 (0.09) 192.638 (0.54)
parsec3/fluidanimate 212.735 212.970 (0.11) 209.151 (-1.68) 211.904 (-0.39) 218.573 (2.74)
parsec3/freqmine 291.225 290.873 (-0.12) 289.258 (-0.68) 289.884 (-0.46) 298.373 (2.45)
parsec3/raytrace 118.289 119.586 (1.10) 119.045 (0.64) 119.064 (0.66) 137.919 (16.60)
parsec3/streamcluster 323.565 328.168 (1.42) 279.565 (-13.60) 287.452 (-11.16) 333.244 (2.99)
parsec3/swaptions 155.140 155.473 (0.21) 153.816 (-0.85) 156.423 (0.83) 156.237 (0.71)
parsec3/vips 58.979 59.311 (0.56) 58.733 (-0.42) 59.005 (0.04) 61.062 (3.53)
parsec3/x264 70.539 68.413 (-3.01) 64.760 (-8.19) 67.180 (-4.76) 68.103 (-3.45)
splash2x/barnes 80.414 81.751 (1.66) 73.585 (-8.49) 80.232 (-0.23) 115.753 (43.95)
splash2x/fft 33.902 34.111 (0.62) 24.228 (-28.53) 29.926 (-11.73) 44.438 (31.08)
splash2x/lu_cb 85.556 86.001 (0.52) 84.538 (-1.19) 86.000 (0.52) 91.447 (6.89)
splash2x/lu_ncb 93.399 93.652 (0.27) 90.463 (-3.14) 94.008 (0.65) 93.901 (0.54)
splash2x/ocean_cp 45.253 45.191 (-0.14) 43.049 (-4.87) 44.022 (-2.72) 46.588 (2.95)
splash2x/ocean_ncp 86.927 87.065 (0.16) 50.747 (-41.62) 86.855 (-0.08) 199.553 (129.57)
splash2x/radiosity 91.433 91.511 (0.09) 90.626 (-0.88) 91.865 (0.47) 104.524 (14.32)
splash2x/radix 31.923 32.023 (0.31) 25.194 (-21.08) 32.035 (0.35) 39.231 (22.89)
splash2x/raytrace 84.367 84.677 (0.37) 82.417 (-2.31) 83.505 (-1.02) 84.857 (0.58)
splash2x/volrend 87.499 87.495 (-0.00) 86.775 (-0.83) 87.311 (-0.21) 87.511 (0.01)
splash2x/water_nsquared 236.397 236.759 (0.15) 219.902 (-6.98) 224.228 (-5.15) 238.562 (0.92)
splash2x/water_spatial 89.646 89.767 (0.14) 89.735 (0.10) 90.347 (0.78) 103.585 (15.55)
total 3020.570 3028.080 (0.25) 2852.190 (-5.57) 2953.960 (-2.21) 3276.550 (8.47)
memused.avg orig rec (overhead) thp (overhead) ethp (overhead) prcl (overhead)
parsec3/blackscholes 1785916.600 1834201.400 (2.70) 1826249.200 (2.26) 1828079.200 (2.36) 1712210.600 (-4.13)
parsec3/bodytrack 1415049.400 1434317.600 (1.36) 1423715.000 (0.61) 1430392.600 (1.08) 1435136.000 (1.42)
parsec3/canneal 1043489.800 1058617.600 (1.45) 1040484.600 (-0.29) 1048664.800 (0.50) 1050280.000 (0.65)
parsec3/dedup 2414453.200 2458493.200 (1.82) 2411379.400 (-0.13) 2400516.000 (-0.58) 2461120.800 (1.93)
parsec3/facesim 541597.200 550097.400 (1.57) 544364.600 (0.51) 553240.000 (2.15) 552316.400 (1.98)
parsec3/ferret 317986.600 332346.000 (4.52) 320218.000 (0.70) 331085.000 (4.12) 330895.200 (4.06)
parsec3/fluidanimate 576183.400 585442.000 (1.61) 577780.200 (0.28) 587703.400 (2.00) 506501.000 (-12.09)
parsec3/freqmine 990869.200 997817.000 (0.70) 990350.400 (-0.05) 997669.000 (0.69) 763325.800 (-22.96)
parsec3/raytrace 1748370.800 1757109.200 (0.50) 1746153.800 (-0.13) 1757830.400 (0.54) 1581455.800 (-9.55)
parsec3/streamcluster 121521.800 140452.400 (15.58) 129725.400 (6.75) 132266.000 (8.84) 130558.200 (7.44)
parsec3/swaptions 15592.400 29018.800 (86.11) 14765.800 (-5.30) 27260.200 (74.83) 26631.600 (70.80)
parsec3/vips 2957567.600 2967993.800 (0.35) 2956623.200 (-0.03) 2973062.600 (0.52) 2951402.000 (-0.21)
parsec3/x264 3169012.400 3175048.800 (0.19) 3190345.400 (0.67) 3189353.000 (0.64) 3172924.200 (0.12)
splash2x/barnes 1209066.000 1213125.400 (0.34) 1217261.400 (0.68) 1209661.600 (0.05) 921041.800 (-23.82)
splash2x/fft 9359313.200 9195213.000 (-1.75) 9377562.400 (0.19) 9050957.600 (-3.29) 9517977.000 (1.70)
splash2x/lu_cb 514966.200 522939.400 (1.55) 520870.400 (1.15) 522635.000 (1.49) 329933.600 (-35.93)
splash2x/lu_ncb 514180.400 525974.800 (2.29) 521420.200 (1.41) 521063.600 (1.34) 523557.000 (1.82)
splash2x/ocean_cp 3346493.400 3288078.000 (-1.75) 3382253.800 (1.07) 3289477.600 (-1.70) 3260810.400 (-2.56)
splash2x/ocean_ncp 3909966.400 3882968.800 (-0.69) 7037196.000 (79.98) 4046363.400 (3.49) 3471452.400 (-11.22)
splash2x/radiosity 1471119.400 1470626.800 (-0.03) 1482604.200 (0.78) 1472718.400 (0.11) 546893.600 (-62.82)
splash2x/radix 1748360.800 1729163.400 (-1.10) 1371463.200 (-21.56) 1701993.600 (-2.65) 1817519.600 (3.96)
splash2x/raytrace 46670.000 60172.200 (28.93) 51901.600 (11.21) 60782.600 (30.24) 52644.800 (12.80)
splash2x/volrend 150666.600 167444.200 (11.14) 151335.200 (0.44) 163345.000 (8.41) 162760.000 (8.03)
splash2x/water_nsquared 45720.200 59422.400 (29.97) 46031.000 (0.68) 61801.400 (35.17) 62627.000 (36.98)
splash2x/water_spatial 663052.200 672855.800 (1.48) 665787.600 (0.41) 674696.200 (1.76) 471052.600 (-28.96)
total 40077300.000 40108900.000 (0.08) 42997900.000 (7.29) 40032700.000 (-0.11) 37813000.000 (-5.65)
rss.avg orig rec (overhead) thp (overhead) ethp (overhead) prcl (overhead)
parsec3/blackscholes 592502.000 589764.400 (-0.46) 592132.600 (-0.06) 593702.000 (0.20) 406639.400 (-31.37)
parsec3/bodytrack 32365.400 32195.000 (-0.53) 32210.800 (-0.48) 32114.600 (-0.77) 21537.600 (-33.45)
parsec3/canneal 839904.200 840292.200 (0.05) 836866.400 (-0.36) 838263.200 (-0.20) 837895.800 (-0.24)
parsec3/dedup 1208337.200 1218465.600 (0.84) 1233278.600 (2.06) 1200490.200 (-0.65) 882911.400 (-26.93)
parsec3/facesim 311380.800 311363.600 (-0.01) 315642.600 (1.37) 312573.400 (0.38) 310257.400 (-0.36)
parsec3/ferret 99514.800 99542.000 (0.03) 100454.200 (0.94) 99879.800 (0.37) 89679.200 (-9.88)
parsec3/fluidanimate 531760.800 531735.200 (-0.00) 531865.400 (0.02) 531940.800 (0.03) 440781.000 (-17.11)
parsec3/freqmine 552455.400 552882.600 (0.08) 555793.600 (0.60) 553019.800 (0.10) 58067.000 (-89.49)
parsec3/raytrace 894798.400 894953.400 (0.02) 892223.400 (-0.29) 893012.400 (-0.20) 315259.800 (-64.77)
parsec3/streamcluster 110780.400 110856.800 (0.07) 110954.000 (0.16) 111310.800 (0.48) 108066.800 (-2.45)
parsec3/swaptions 5614.600 5645.600 (0.55) 5553.200 (-1.09) 5552.600 (-1.10) 3251.800 (-42.08)
parsec3/vips 31942.200 31752.800 (-0.59) 32042.600 (0.31) 32226.600 (0.89) 29012.200 (-9.17)
parsec3/x264 81770.800 81609.200 (-0.20) 82800.800 (1.26) 82612.200 (1.03) 81805.800 (0.04)
splash2x/barnes 1216515.600 1217113.800 (0.05) 1225605.600 (0.75) 1217325.000 (0.07) 540108.400 (-55.60)
splash2x/fft 9668660.600 9751350.800 (0.86) 9773806.400 (1.09) 9613555.400 (-0.57) 7951241.800 (-17.76)
splash2x/lu_cb 510368.800 510095.800 (-0.05) 514350.600 (0.78) 510276.000 (-0.02) 311584.800 (-38.95)
splash2x/lu_ncb 509904.800 510001.600 (0.02) 513847.000 (0.77) 510073.400 (0.03) 509905.600 (0.00)
splash2x/ocean_cp 3389550.600 3404466.000 (0.44) 3443363.600 (1.59) 3410388.000 (0.61) 3330608.600 (-1.74)
splash2x/ocean_ncp 3923723.200 3911148.200 (-0.32) 7175800.400 (82.88) 4104482.400 (4.61) 2030525.000 (-48.25)
splash2x/radiosity 1472994.600 1475946.400 (0.20) 1485636.800 (0.86) 1476193.000 (0.22) 262161.400 (-82.20)
splash2x/radix 1750329.800 1765697.000 (0.88) 1413304.000 (-19.25) 1754154.400 (0.22) 1516142.600 (-13.38)
splash2x/raytrace 23149.600 23208.000 (0.25) 28574.400 (23.43) 26694.600 (15.31) 16257.800 (-29.77)
splash2x/volrend 43968.800 43919.000 (-0.11) 44087.600 (0.27) 44224.000 (0.58) 32484.400 (-26.12)
splash2x/water_nsquared 29348.000 29338.400 (-0.03) 29604.600 (0.87) 29779.400 (1.47) 23644.800 (-19.43)
splash2x/water_spatial 655263.600 655097.800 (-0.03) 655199.200 (-0.01) 656282.400 (0.16) 379816.800 (-42.04)
total 28486900.000 28598400.000 (0.39) 31625000.000 (11.02) 28640100.000 (0.54) 20489600.000 (-28.07)
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