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I've tested the patch on a dual socket Zen3 system (2 x 64C/128T) tl;dr o I do not notice any regressions with the standard benchmarks. o schbench sees a nice improvement to the tail latency when the number of worker are equal to the number of cores in the system in NPS1 and NPS2 mode. (Marked with "^") o Few data points show improvements in tbench in NPS1 and NPS2 mode. (Marked with "^") I'm still in the process of running larger workloads. If there is any specific workload you would like me to run on the test system, please do let me know. Below is the detailed report: Following are the results from running standard benchmarks on a dual socket Zen3 (2 x 64C/128T) machine configured in different NPS modes. NPS Modes are used to logically divide single socket into multiple NUMA region. Following is the NUMA configuration for each NPS mode on the system: NPS1: Each socket is a NUMA node. Total 2 NUMA nodes in the dual socket machine. Node 0: 0-63, 128-191 Node 1: 64-127, 192-255 NPS2: Each socket is further logically divided into 2 NUMA regions. Total 4 NUMA nodes exist over 2 socket. Node 0: 0-31, 128-159 Node 1: 32-63, 160-191 Node 2: 64-95, 192-223 Node 3: 96-127, 223-255 NPS4: Each socket is logically divided into 4 NUMA regions. Total 8 NUMA nodes exist over 2 socket. Node 0: 0-15, 128-143 Node 1: 16-31, 144-159 Node 2: 32-47, 160-175 Node 3: 48-63, 176-191 Node 4: 64-79, 192-207 Node 5: 80-95, 208-223 Node 6: 96-111, 223-231 Node 7: 112-127, 232-255 Benchmark Results: Kernel versions: - tip: 5.19.0 tip sched/core - sis_core: 5.19.0 tip sched/core + this series When we started testing, the tip was at: commit fdf756f71271 ("sched: Fix more TASK_state comparisons") ~~~~~~~~~~~~~ ~ hackbench ~ ~~~~~~~~~~~~~ o NPS1 Test: tip sis_core 1-groups: 4.06 (0.00 pct) 4.26 (-4.92 pct) * 1-groups: 4.14 (0.00 pct) 4.09 (1.20 pct) [Verification Run] 2-groups: 4.76 (0.00 pct) 4.71 (1.05 pct) 4-groups: 5.22 (0.00 pct) 5.11 (2.10 pct) 8-groups: 5.35 (0.00 pct) 5.31 (0.74 pct) 16-groups: 7.21 (0.00 pct) 6.80 (5.68 pct) o NPS2 Test: tip sis_core 1-groups: 4.09 (0.00 pct) 4.08 (0.24 pct) 2-groups: 4.70 (0.00 pct) 4.69 (0.21 pct) 4-groups: 5.05 (0.00 pct) 4.92 (2.57 pct) 8-groups: 5.35 (0.00 pct) 5.26 (1.68 pct) 16-groups: 6.37 (0.00 pct) 6.34 (0.47 pct) o NPS4 Test: tip sis_core 1-groups: 4.07 (0.00 pct) 3.99 (1.96 pct) 2-groups: 4.65 (0.00 pct) 4.59 (1.29 pct) 4-groups: 5.13 (0.00 pct) 5.00 (2.53 pct) 8-groups: 5.47 (0.00 pct) 5.43 (0.73 pct) 16-groups: 6.82 (0.00 pct) 6.56 (3.81 pct) ~~~~~~~~~~~~ ~ schbench ~ ~~~~~~~~~~~~ o NPS1 #workers: tip sis_core 1: 33.00 (0.00 pct) 33.00 (0.00 pct) 2: 35.00 (0.00 pct) 35.00 (0.00 pct) 4: 39.00 (0.00 pct) 38.00 (2.56 pct) 8: 49.00 (0.00 pct) 48.00 (2.04 pct) 16: 63.00 (0.00 pct) 66.00 (-4.76 pct) 32: 109.00 (0.00 pct) 107.00 (1.83 pct) 64: 208.00 (0.00 pct) 216.00 (-3.84 pct) 128: 559.00 (0.00 pct) 469.00 (16.10 pct) ^ 256: 45888.00 (0.00 pct) 47552.00 (-3.62 pct) 512: 80000.00 (0.00 pct) 79744.00 (0.32 pct) o NPS2 #workers: =tip sis_core 1: 30.00 (0.00 pct) 32.00 (-6.66 pct) 2: 37.00 (0.00 pct) 34.00 (8.10 pct) 4: 39.00 (0.00 pct) 36.00 (7.69 pct) 8: 51.00 (0.00 pct) 49.00 (3.92 pct) 16: 67.00 (0.00 pct) 66.00 (1.49 pct) 32: 117.00 (0.00 pct) 109.00 (6.83 pct) 64: 216.00 (0.00 pct) 213.00 (1.38 pct) 128: 529.00 (0.00 pct) 465.00 (12.09 pct) ^ 256: 47040.00 (0.00 pct) 46528.00 (1.08 pct) 512: 84864.00 (0.00 pct) 83584.00 (1.50 pct) o NPS4 #workers: tip sis_core 1: 23.00 (0.00 pct) 28.00 (-21.73 pct) 2: 28.00 (0.00 pct) 36.00 (-28.57 pct) 4: 41.00 (0.00 pct) 43.00 (-4.87 pct) 8: 60.00 (0.00 pct) 48.00 (20.00 pct) 16: 71.00 (0.00 pct) 69.00 (2.81 pct) 32: 117.00 (0.00 pct) 115.00 (1.70 pct) 64: 227.00 (0.00 pct) 228.00 (-0.44 pct) 128: 545.00 (0.00 pct) 545.00 (0.00 pct) 256: 45632.00 (0.00 pct) 47680.00 (-4.48 pct) 512: 81024.00 (0.00 pct) 76416.00 (5.68 pct) Note: For lower worker count, schbench can show run to run variation depending on external factors. Regression for lower worker count can be ignored. The results are included to spot any large blow up in the tail latency for larger worker count. ~~~~~~~~~~ ~ tbench ~ ~~~~~~~~~~ o NPS1 Clients: tip sis_core 1 578.37 (0.00 pct) 582.09 (0.64 pct) 2 1062.09 (0.00 pct) 1063.95 (0.17 pct) 4 1800.62 (0.00 pct) 1879.18 (4.36 pct) 8 3211.02 (0.00 pct) 3220.44 (0.29 pct) 16 4848.92 (0.00 pct) 4890.08 (0.84 pct) 32 9091.36 (0.00 pct) 9721.13 (6.92 pct) ^ 64 15454.01 (0.00 pct) 15124.42 (-2.13 pct) 128 3511.33 (0.00 pct) 14314.79 (307.67 pct) 128 19910.99 (0.00pct) 19935.61 (0.12 pct) [Verification Run] 256 50019.32 (0.00 pct) 50708.24 (1.37 pct) 512 44317.68 (0.00 pct) 44787.48 (1.06 pct) 1024 41200.85 (0.00 pct) 42079.29 (2.13 pct) o NPS2 Clients: tip sis_core 1 576.05 (0.00 pct) 579.18 (0.54 pct) 2 1037.68 (0.00 pct) 1070.49 (3.16 pct) 4 1818.13 (0.00 pct) 1860.22 (2.31 pct) 8 3004.16 (0.00 pct) 3087.09 (2.76 pct) 16 4520.11 (0.00 pct) 4789.53 (5.96 pct) 32 8624.23 (0.00 pct) 9439.50 (9.45 pct) ^ 64 14886.75 (0.00 pct) 15004.96 (0.79 pct) 128 20602.00 (0.00 pct) 17730.31 (-13.93 pct) * 128 20602.00 (0.00 pct) 19585.20 (-4.93 pct) [Verification Run] 256 45566.83 (0.00 pct) 47922.70 (5.17 pct) 512 42717.49 (0.00 pct) 43809.68 (2.55 pct) 1024 40936.61 (0.00 pct) 40787.71 (-0.36 pct) o NPS4 Clients: tip sis_core 1 576.36 (0.00 pct) 580.83 (0.77 pct) 2 1044.26 (0.00 pct) 1066.50 (2.12 pct) 4 1839.77 (0.00 pct) 1867.56 (1.51 pct) 8 3043.53 (0.00 pct) 3115.17 (2.35 pct) 16 5207.54 (0.00 pct) 4847.53 (-6.91 pct) * 16 4722.56 (0.00 pct) 4811.29 (1.87 pct) [Verification Run] 32 9263.86 (0.00 pct) 9478.68 (2.31 pct) 64 14959.66 (0.00 pct) 15267.39 (2.05 pct) 128 20698.65 (0.00 pct) 20432.19 (-1.28 pct) 256 46666.21 (0.00 pct) 46664.81 (0.00 pct) 512 41532.80 (0.00 pct) 44241.12 (6.52 pct) 1024 39459.49 (0.00 pct) 41043.22 (4.01 pct) Note: On the tested kernel, with 128 clients, tbench can run into a bottleneck during C2 exit. More details can be found at: https://lore.kernel.org/lkml/20220921063638.2489-1-kprateek.nayak@amd.com/ This issue has been fixed in v6.0 but was not part of the tip kernel when I started testing. This data point has been rerun with C2 disabled to get representative results. ~~~~~~~~~~ ~ Stream ~ ~~~~~~~~~~ o NPS1 -> 10 Runs: Test: tip sis_core Copy: 328419.14 (0.00 pct) 337857.83 (2.87 pct) Scale: 206071.21 (0.00 pct) 212133.82 (2.94 pct) Add: 235271.48 (0.00 pct) 243811.97 (3.63 pct) Triad: 253175.80 (0.00 pct) 252333.43 (-0.33 pct) -> 100 Runs: Test: tip sis_core Copy: 328209.61 (0.00 pct) 339817.27 (3.53 pct) Scale: 216310.13 (0.00 pct) 218635.16 (1.07 pct) Add: 244417.83 (0.00 pct) 245641.47 (0.50 pct) Triad: 237508.83 (0.00 pct) 255387.28 (7.52 pct) o NPS2 -> 10 Runs: Test: tip sis_core Copy: 336503.88 (0.00 pct) 339684.21 (0.94 pct) Scale: 218035.23 (0.00 pct) 217601.11 (-0.19 pct) Add: 257677.42 (0.00 pct) 258608.34 (0.36 pct) Triad: 268872.37 (0.00 pct) 272548.09 (1.36 pct) -> 100 Runs: Test: tip sis_core Copy: 332304.34 (0.00 pct) 341565.75 (2.78 pct) Scale: 223421.60 (0.00 pct) 224267.40 (0.37 pct) Add: 252363.56 (0.00 pct) 254926.98 (1.01 pct) Triad: 266687.56 (0.00 pct) 270782.81 (1.53 pct) o NPS4 -> 10 Runs: Test: tip sis_core Copy: 353515.62 (0.00 pct) 342060.85 (-3.24 pct) Scale: 228854.37 (0.00 pct) 218262.41 (-4.62 pct) Add: 254942.12 (0.00 pct) 241975.90 (-5.08 pct) Triad: 270521.87 (0.00 pct) 257686.71 (-4.74 pct) -> 100 Runs: Test: tip sis_core Copy: 374520.81 (0.00 pct) 369353.13 (-1.37 pct) Scale: 246280.23 (0.00 pct) 253881.69 (3.08 pct) Add: 262772.72 (0.00 pct) 266484.58 (1.41 pct) Triad: 283740.92 (0.00 pct) 279981.18 (-1.32 pct) On 10/19/2022 5:58 PM, Abel Wu wrote: > This patchset tries to improve SIS scan efficiency by recording idle > cpus in a cpumask for each LLC which will be used as a target cpuset > in the domain scan. The cpus are recorded at CORE granule to avoid > tasks being stack on same core. > > v5 -> v6: > - Rename SIS_FILTER to SIS_CORE as it can only be activated when > SMT is enabled and better describes the behavior of CORE granule > update & load delivery. > - Removed the part of limited scan for idle cores since it might be > better to open another thread to discuss the strategies such as > limited or scaled depth. But keep the part of full scan for idle > cores when LLC is overloaded because SIS_CORE can greatly reduce > the overhead of full scan in such case. > - Removed the state of sd_is_busy which indicates an LLC is fully > busy and we can safely skip the SIS domain scan. I would prefer > leave this to SIS_UTIL. > - The filter generation mechanism is replaced by in-place updates > during domain scan to better deal with partial scan failures. > - Collect Reviewed-bys from Tim Chen > > v4 -> v5: > - Add limited scan for idle cores when overloaded, suggested by Mel > - Split out several patches since they are irrelevant to this scope > - Add quick check on ttwu_pending before core update > - Wrap the filter into SIS_FILTER feature, suggested by Chen Yu > - Move the main filter logic to the idle path, because the newidle > balance can bail out early if rq->avg_idle is small enough and > lose chances to update the filter. > > v3 -> v4: > - Update filter in load_balance rather than in the tick > - Now the filter contains unoccupied cpus rather than overloaded ones > - Added mechanisms to deal with the false positive cases > > v2 -> v3: > - Removed sched-idle balance feature and focus on SIS > - Take non-CFS tasks into consideration > - Several fixes/improvement suggested by Josh Don > > v1 -> v2: > - Several optimizations on sched-idle balancing > - Ignore asym topos in can_migrate_task > - Add more benchmarks including SIS efficiency > - Re-organize patch as suggested by Mel Gorman > > Abel Wu (4): > sched/fair: Skip core update if task pending > sched/fair: Ignore SIS_UTIL when has_idle_core > sched/fair: Introduce SIS_CORE > sched/fair: Deal with SIS scan failures > > include/linux/sched/topology.h | 15 ++++ > kernel/sched/fair.c | 122 +++++++++++++++++++++++++++++---- > kernel/sched/features.h | 7 ++ > kernel/sched/sched.h | 3 + > kernel/sched/topology.c | 8 ++- > 5 files changed, 141 insertions(+), 14 deletions(-) > I ran pgbench from mmtest but realised there is too much run to run variation on the system. Planning on running MongoDB benchmark which is more stable on the system and couple more workloads but the initial results look good. I'll get back with results later this week or by early next week. Meanwhile, if you need data for any specific workload on the test system, please do let me know. -- Thanks and Regards, Prateek