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X-MS-Exchange-AntiSpam-MessageData-ChunkCount: 1 X-MS-Exchange-AntiSpam-MessageData-0: y8/yZ3IJMxstfT8TBXU9fU73TVFNVvBPPnJ+buTvZzGjTYKje3ZL0JAWbzPp/zPb02hpH2V1U54tFI9UoRPTZj4sTGgh/kpWY9RFrcc8xVGn/YrFU0/2DzwJ9qiOrCA/GBF0EqJLezo+SLOGbRb2tI3ez4M7VZKWH/USuvjlEdCzvq5sKdwOIwdabD0OzgrCyI0pT/rgUPzmxNnstqh747k/He0pqCWEkz6KNVuYUdhjg3r23HqCwZsfE4xbecIv1Sxo+G6vwkRn9/w64WsNd3SNvwL98VANS9JNHwYUmV9RcPB87KNueggGjP8Nz+3OmDpgobeIdY0ctnNVd/EkP3rxdjHLYSKRsbiVPFHnRqqOFVfD8d00all5IrgKPdx5nMOIEY+GAd3z4e+3oLy+OeHaN7vsQFtpbuO1yojH98sQ26E3ttH/xQbLxb8VlSB5 X-OriginatorOrg: amd.com X-MS-Exchange-CrossTenant-OriginalArrivalTime: 09 Jun 2026 05:37:22.6348 (UTC) X-MS-Exchange-CrossTenant-Network-Message-Id: c7b0fec3-acc6-4201-f004-08dec5e92e3e X-MS-Exchange-CrossTenant-Id: 3dd8961f-e488-4e60-8e11-a82d994e183d X-MS-Exchange-CrossTenant-OriginalAttributedTenantConnectingIp: TenantId=3dd8961f-e488-4e60-8e11-a82d994e183d;Ip=[165.204.84.17];Helo=[satlexmb07.amd.com] X-MS-Exchange-CrossTenant-AuthSource: SJ5PEPF000001EA.namprd05.prod.outlook.com X-MS-Exchange-CrossTenant-AuthAs: Anonymous X-MS-Exchange-CrossTenant-FromEntityHeader: HybridOnPrem X-MS-Exchange-Transport-CrossTenantHeadersStamped: DS7PR12MB5743 Hello Peter, On 6/5/2026 6:10 PM, Peter Zijlstra wrote: > Can also be had: > > git://git.kernel.org/pub/scm/linux/kernel/git/peterz/queue.git sched/flat Here are early performance numbers at commit 7eb85c33dd20 ("sched/eevdf: Move to a single runqueue"). tl;dr Apart form a regression in the tbench and schbench at super high utilization, all numbers for concur mode looks good so 7.2-rc1 target should be good. P.S. I won't be able to look into this until Thursday; Sorry in advance. Note: I haven't gotten around to analyzing anything in depth; These are just early numbers on microbenchmarks and DeathStarBench. Please take them with a grain of salt. tip was at commit f666241e6bd5 ("sched/fair: Unify cfs_rq throttling via account_cfs_rq_runtime()") and each label are the individual cgroup mode togged on at queue:sched/flat: Machine: o 4th Generation EPYC system (Zen4c) o 2 x 128C/256T (32LLCs) o Boost enabled o C2 disabled; MWAIT based C1 and POLL remained enabled Benchmark numbers: ================================================================== Test : hackbench Units : Normalized time in seconds Interpretation: Lower is better Statistic : AMean ================================================================== Case: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1-groups 1.00 [ -0.00](11.18) 1.01 [ -0.60](12.84) 1.12 [-12.08](12.50) 1.16 [-15.71]( 9.46) 1.07 [ -7.25](11.46) 0.99 [ 1.21](15.44) 2-groups 1.00 [ -0.00]( 4.73) 1.01 [ -1.00]( 9.29) 2.88 [-188.25](63.11) 0.97 [ 2.75](11.62) 0.95 [ 5.00](12.47) 0.96 [ 4.00](11.72) 4-groups 1.00 [ -0.00]( 2.90) 0.99 [ 0.96]( 2.48) 0.99 [ 0.72]( 2.38) 1.00 [ 0.48]( 1.78) 0.99 [ 0.96]( 6.61) 1.00 [ -0.00]( 5.23) 8-groups 1.00 [ -0.00]( 1.82) 1.03 [ -2.51]( 2.81) 0.99 [ 0.91]( 3.33) 0.99 [ 0.91]( 2.40) 1.01 [ -0.68]( 2.44) 1.02 [ -1.60]( 2.45) 16-groups 1.00 [ -0.00]( 3.05) 1.03 [ -2.96]( 1.97) 1.23 [-22.82](22.67) 1.01 [ -1.31]( 2.03) 0.99 [ 0.99]( 2.48) 1.01 [ -0.66]( 2.76) Note: For smp variant runs, I think there was some system noise form an unrelated job that stated by mistake. I have to go back and rerun to confirm if the regression holds. ================================================================== Test : tbench Units : Normalized throughput Interpretation: Higher is better Statistic : AMean ================================================================== Clients: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1 1.00 [ 0.00]( 0.23) 1.02 [ 1.53]( 0.10) 1.02 [ 1.80]( 0.96) 1.00 [ 0.19]( 0.17) 0.99 [ -0.58]( 0.18) 1.01 [ 1.13]( 0.18) 2 1.00 [ 0.00]( 0.11) 1.01 [ 1.13]( 0.04) 1.01 [ 1.26]( 0.08) 1.00 [ -0.12]( 0.21) 0.99 [ -1.00]( 0.29) 1.01 [ 0.51]( 0.02) 4 1.00 [ 0.00]( 0.11) 1.01 [ 1.30]( 0.16) 1.02 [ 2.26]( 0.48) 1.00 [ 0.06]( 0.37) 0.99 [ -0.74]( 0.52) 1.01 [ 1.35]( 0.35) 8 1.00 [ 0.00]( 0.24) 1.01 [ 1.19]( 0.81) 1.02 [ 2.17]( 0.52) 1.00 [ 0.45]( 0.36) 0.99 [ -0.80]( 0.05) 1.01 [ 0.92]( 0.39) 16 1.00 [ 0.00]( 0.15) 1.01 [ 0.87]( 0.70) 1.03 [ 2.56]( 0.18) 1.00 [ -0.41]( 0.46) 0.99 [ -0.99]( 0.36) 1.01 [ 0.55]( 1.02) 32 1.00 [ 0.00]( 1.02) 1.02 [ 2.42]( 0.36) 1.04 [ 3.76]( 0.94) 1.01 [ 1.20]( 0.19) 1.00 [ -0.10]( 0.44) 1.02 [ 1.61]( 0.27) 64 1.00 [ 0.00]( 0.36) 1.02 [ 1.92]( 1.71) 1.03 [ 2.59]( 1.15) 0.99 [ -0.51]( 0.88) 1.01 [ 1.19]( 0.29) 1.02 [ 2.42]( 0.57) 128 1.00 [ 0.00]( 0.45) 1.01 [ 1.11]( 1.37) 1.05 [ 4.64]( 1.05) 1.01 [ 0.98]( 2.47) 1.01 [ 0.84]( 1.97) 1.03 [ 2.56]( 1.22) 256 1.00 [ 0.00]( 0.06) 1.02 [ 2.23]( 1.11) 1.02 [ 2.17]( 0.69) 1.03 [ 2.87]( 0.46) 1.03 [ 2.57]( 0.41) 1.03 [ 2.99]( 0.84) 512 1.00 [ 0.00]( 1.50) 0.92 [ -7.62]( 6.42) 1.02 [ 1.94]( 2.12) 1.01 [ 0.74]( 6.70) 0.94 [ -6.09]( 5.19) 0.98 [ -2.40]( 3.00) 1024 1.00 [ 0.00]( 0.07) 0.98 [ -1.51]( 0.30) 1.02 [ 1.66]( 0.13) 0.97 [ -2.97]( 0.76) 0.94 [ -6.33]( 0.26) 0.95 [ -4.63]( 0.47) 2048 1.00 [ 0.00]( 0.25) 0.98 [ -1.57]( 0.59) 1.02 [ 1.81]( 0.20) 0.98 [ -1.94]( 0.38) 0.94 [ -5.54]( 0.17) 0.95 [ -4.56]( 0.77) ================================================================== Test : stream-10 Units : Normalized Bandwidth, MB/s Interpretation: Higher is better Statistic : HMean ================================================================== Test: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) Copy 1.00 [ 0.00]( 0.51) 0.92 [ -7.61](12.64) 0.99 [ -0.79]( 0.30) 0.85 [-15.33](21.73) 0.99 [ -0.61]( 0.35) 0.99 [ -0.90]( 0.38) Scale 1.00 [ 0.00]( 0.35) 0.90 [ -9.96](14.86) 0.99 [ -1.45]( 0.76) 0.85 [-14.73](21.14) 0.99 [ -1.12]( 0.86) 0.99 [ -1.13]( 0.71) Add 1.00 [ 0.00]( 0.21) 0.93 [ -6.95](10.26) 0.98 [ -1.51]( 0.80) 0.95 [ -4.91]( 9.84) 0.99 [ -0.98]( 0.69) 0.99 [ -1.37]( 0.67) Triad 1.00 [ 0.00]( 0.24) 0.89 [-10.61](15.55) 0.99 [ -1.46]( 0.72) 0.95 [ -4.87]( 9.50) 0.99 [ -0.90]( 0.62) 0.99 [ -1.44]( 0.61) ================================================================== Test : stream-100 Units : Normalized Bandwidth, MB/s Interpretation: Higher is better Statistic : HMean ================================================================== Test: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) Copy 1.00 [ 0.00]( 1.52) 1.00 [ -0.16]( 0.56) 0.97 [ -2.54]( 2.30) 1.00 [ 0.09]( 0.18) 1.00 [ 0.17]( 0.44) 0.99 [ -0.74]( 1.49) Scale 1.00 [ 0.00]( 1.43) 0.99 [ -0.63]( 0.55) 0.97 [ -2.72]( 2.44) 1.00 [ 0.20]( 0.16) 0.99 [ -0.67]( 0.43) 0.99 [ -1.39]( 1.45) Add 1.00 [ 0.00]( 1.06) 0.99 [ -1.27]( 0.42) 0.97 [ -3.08]( 1.95) 1.00 [ -0.13]( 0.19) 0.99 [ -1.19]( 0.34) 0.98 [ -1.76]( 1.07) Triad 1.00 [ 0.00]( 1.10) 0.98 [ -1.55]( 0.41) 0.97 [ -3.40]( 1.95) 1.00 [ -0.42]( 0.16) 0.99 [ -1.49]( 0.35) 0.98 [ -2.08]( 1.11) ================================================================== Test : netperf Units : Normalized Througput Interpretation: Higher is better Statistic : AMean ================================================================== Clients: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1-clients 1.00 [ 0.00]( 0.15) 1.02 [ 2.24]( 0.12) 1.02 [ 1.50]( 0.22) 1.07 [ 6.86]( 2.15) 1.00 [ 0.27]( 0.45) 1.02 [ 1.86]( 0.15) 2-clients 1.00 [ 0.00]( 0.37) 1.03 [ 2.50]( 0.80) 1.03 [ 3.11]( 0.78) 1.07 [ 7.15]( 0.96) 1.00 [ -0.43]( 0.54) 1.02 [ 1.67]( 0.69) 4-clients 1.00 [ 0.00]( 0.26) 1.02 [ 2.26]( 0.33) 1.02 [ 2.02]( 0.37) 1.07 [ 7.37]( 0.78) 1.00 [ -0.24]( 0.42) 1.02 [ 1.84]( 0.22) 8-clients 1.00 [ 0.00]( 0.21) 1.02 [ 2.47]( 0.55) 1.02 [ 2.13]( 0.48) 1.08 [ 7.60]( 0.57) 1.00 [ -0.15]( 0.37) 1.02 [ 1.87]( 0.29) 16-clients 1.00 [ 0.00]( 0.23) 1.02 [ 2.07]( 0.69) 1.02 [ 1.87]( 0.42) 1.07 [ 7.38]( 0.50) 0.99 [ -0.55]( 0.48) 1.02 [ 1.78]( 0.25) 32-clients 1.00 [ 0.00]( 0.47) 1.02 [ 2.14]( 0.63) 1.02 [ 1.81]( 0.75) 1.07 [ 7.44]( 0.94) 1.00 [ -0.38]( 0.53) 1.02 [ 1.76]( 0.43) 64-clients 1.00 [ 0.00]( 0.91) 1.02 [ 2.00]( 0.81) 1.02 [ 1.74]( 0.96) 1.07 [ 7.12]( 1.06) 1.00 [ -0.20]( 0.68) 1.02 [ 1.63]( 0.76) 128-clients 1.00 [ 0.00]( 1.19) 1.01 [ 1.36]( 1.28) 1.01 [ 1.34]( 1.18) 1.06 [ 6.37]( 1.47) 1.00 [ -0.49]( 1.15) 1.01 [ 1.06]( 1.09) 256-clients 1.00 [ 0.00]( 1.00) 1.02 [ 1.70]( 1.15) 1.02 [ 1.64]( 1.18) 1.07 [ 7.17]( 1.87) 1.00 [ -0.31]( 1.19) 1.01 [ 1.29]( 1.12) 512-clients 1.00 [ 0.00]( 5.16) 1.00 [ 0.02]( 6.48) 0.99 [ -0.60]( 4.31) 1.04 [ 4.08]( 3.83) 1.00 [ 0.02]( 2.52) 1.00 [ 0.48]( 2.86) 768-clients 1.00 [ 0.00](34.61) 1.03 [ 2.84](62.48) 1.00 [ 0.26](30.91) 0.98 [ -2.12](13.41) 0.94 [ -6.34](11.15) 0.95 [ -4.82](10.61) 1024-clients 1.00 [ 0.00](41.78) 1.04 [ 3.95](76.45) 1.01 [ 0.99](40.23) 0.97 [ -2.58](11.79) 0.95 [ -5.36](11.21) 0.96 [ -4.01](12.98) ================================================================== Test : schbench Units : Normalized 99th percentile latency in us Interpretation: Lower is better Statistic : Median ================================================================== #workers: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1 1.00 [ -0.00]( 5.88) 0.94 [ 5.88](19.25) 0.88 [ 11.76]( 7.37) 0.88 [ 11.76](34.02) 1.06 [ -5.88](11.11) 0.94 [ 5.88]( 3.69) 2 1.00 [ -0.00](36.56) 0.97 [ 3.03]( 9.52) 0.97 [ 3.03]( 4.82) 1.00 [ -0.00](26.93) 0.97 [ 3.03](14.53) 0.82 [ 18.18](13.87) 4 1.00 [ -0.00]( 9.35) 0.97 [ 3.12](18.25) 0.94 [ 6.25]( 9.12) 1.00 [ -0.00](20.82) 1.00 [ -0.00]( 4.82) 0.88 [ 12.50](15.93) 8 1.00 [ -0.00](23.38) 0.94 [ 6.45](23.26) 1.26 [-25.81](14.43) 1.26 [-25.81](26.13) 1.06 [ -6.45]( 4.68) 0.97 [ 3.23](10.00) 16 1.00 [ -0.00]( 2.71) 1.04 [ -3.57]( 2.62) 1.00 [ -0.00]( 2.04) 0.98 [ 1.79]( 2.76) 1.04 [ -3.57]( 0.00) 1.02 [ -1.79]( 2.70) 32 1.00 [ -0.00]( 0.72) 1.00 [ -0.00]( 0.72) 0.96 [ 3.75]( 1.30) 1.01 [ -1.25]( 0.71) 1.01 [ -1.25]( 1.88) 1.02 [ -2.50]( 1.86) 64 1.00 [ -0.00]( 1.52) 0.96 [ 4.41]( 1.18) 0.97 [ 2.94]( 4.49) 0.94 [ 5.88]( 1.19) 0.95 [ 5.15]( 0.45) 0.96 [ 4.41]( 0.45) 128 1.00 [ -0.00]( 3.24) 0.96 [ 3.80]( 0.91) 0.96 [ 3.80]( 1.53) 0.95 [ 4.64]( 0.26) 0.96 [ 3.80]( 0.44) 0.97 [ 2.53]( 1.32) 256 1.00 [ -0.00]( 0.90) 0.92 [ 7.60]( 0.75) 0.95 [ 5.40]( 0.61) 0.92 [ 7.80]( 0.55) 0.93 [ 6.60]( 6.23) 1.00 [ -0.00]( 0.61) 512 1.00 [ -0.00]( 1.76) 1.10 [-10.36]( 0.48) 1.04 [ -4.15]( 1.46) 0.97 [ 3.45]( 7.07) 1.07 [ -6.56]( 2.54) 0.93 [ 6.56]( 2.45) 768 1.00 [ -0.00]( 2.79) 0.95 [ 5.10]( 6.65) 1.71 [-70.87]( 4.67) 0.80 [ 20.13]( 1.81) 0.78 [ 21.80]( 1.19) 0.78 [ 22.36]( 1.46) 1024 1.00 [ -0.00]( 0.86) 0.35 [ 64.79](18.07) 1.16 [-15.56]( 1.17) 1.00 [ 0.32]( 3.65) 0.95 [ 4.54]( 3.10) 0.90 [ 9.72]( 2.33) ================================================================== Test : new-schbench-requests-per-second Units : Normalized Requests per second Interpretation: Higher is better Statistic : Median ================================================================== #workers: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1 1.00 [ 0.00]( 0.00) 1.00 [ 0.00]( 0.00) 1.00 [ -0.30]( 0.00) 1.00 [ -0.30]( 0.31) 0.99 [ -0.59]( 0.15) 1.00 [ 0.00]( 0.00) 2 1.00 [ 0.00]( 0.00) 1.00 [ 0.30]( 0.00) 1.00 [ 0.00]( 0.61) 1.00 [ 0.30]( 0.15) 1.00 [ -0.30]( 0.70) 1.00 [ 0.00]( 0.61) 4 1.00 [ 0.00]( 0.00) 1.00 [ 0.29]( 0.30) 1.00 [ 0.00]( 0.15) 1.00 [ 0.29]( 0.00) 1.00 [ -0.29]( 0.15) 0.99 [ -0.59]( 0.31) 8 1.00 [ 0.00]( 0.00) 1.00 [ 0.00]( 0.00) 1.00 [ -0.29]( 0.00) 1.00 [ 0.00]( 0.00) 1.00 [ -0.29]( 0.00) 1.00 [ -0.29]( 0.15) 16 1.00 [ 0.00]( 0.00) 1.00 [ 0.29]( 0.15) 1.00 [ 0.00]( 0.15) 1.00 [ 0.00]( 0.15) 1.00 [ -0.29]( 0.00) 1.00 [ -0.29]( 0.15) 32 1.00 [ 0.00]( 0.15) 1.00 [ 0.29]( 0.15) 1.00 [ 0.29]( 0.15) 1.00 [ 0.29]( 0.00) 1.00 [ 0.00]( 0.15) 1.00 [ 0.29]( 0.15) 64 1.00 [ 0.00]( 0.15) 1.00 [ 0.29]( 0.00) 1.00 [ 0.00]( 0.00) 1.00 [ 0.29]( 0.00) 1.00 [ 0.00]( 0.00) 1.00 [ 0.29]( 0.15) 128 1.00 [ 0.00](17.05) 1.01 [ 0.59](14.45) 1.00 [ 0.30]( 0.00) 1.01 [ 0.59](10.49) 1.00 [ 0.00]( 9.79) 1.00 [ 0.30]( 0.31) 256 1.00 [ 0.00]( 0.59) 1.00 [ 0.28]( 0.59) 1.00 [ 0.28]( 0.44) 1.00 [ -0.28]( 0.82) 0.99 [ -0.57]( 0.39) 1.00 [ 0.00]( 0.67) 512 1.00 [ 0.00]( 0.69) 1.01 [ 1.50]( 1.66) 1.00 [ 0.00]( 0.33) 0.99 [ -1.50]( 0.39) 0.99 [ -1.12]( 0.58) 1.00 [ 0.00]( 0.78) 768 1.00 [ 0.00]( 1.13) 1.12 [ 11.51]( 9.06) 0.99 [ -1.15]( 0.21) 0.91 [ -8.52]( 0.47) 0.91 [ -8.98]( 0.47) 0.93 [ -6.67]( 0.84) 1024 1.00 [ 0.00]( 1.23) 1.12 [ 12.41]( 4.32) 1.01 [ 1.10]( 0.71) 0.87 [-13.24]( 0.59) 0.87 [-12.97]( 0.49) 0.86 [-14.07]( 0.00) ================================================================== Test : new-schbench-wakeup-latency Units : Normalized 99th percentile latency in us Interpretation: Lower is better Statistic : Median ================================================================== #workers: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1 1.00 [ -0.00](21.48) 2.75 [-175.00](14.06) 3.00 [-200.00](12.91) 3.62 [-262.50](29.64) 3.62 [-262.50](21.84) 2.25 [-125.00](12.45) 2 1.00 [ -0.00]( 5.96) 1.33 [-33.33](24.78) 1.33 [-33.33](18.25) 1.11 [-11.11](25.37) 1.11 [-11.11]( 9.68) 1.11 [-11.11]( 5.00) 4 1.00 [ -0.00]( 6.20) 1.38 [-37.50]( 4.84) 1.12 [-12.50]( 0.00) 1.25 [-25.00](21.51) 1.12 [-12.50](19.99) 1.38 [-37.50](12.81) 8 1.00 [ -0.00]( 5.34) 1.20 [-20.00]( 0.00) 1.00 [ -0.00]( 5.00) 1.20 [-20.00]( 7.45) 1.20 [-20.00]( 0.00) 1.20 [-20.00]( 4.19) 16 1.00 [ -0.00]( 5.53) 1.22 [-22.22]( 0.00) 1.11 [-11.11]( 0.00) 1.11 [-11.11]( 9.68) 1.33 [-33.33]( 0.00) 1.33 [-33.33]( 4.43) 32 1.00 [ -0.00]( 5.53) 1.11 [-11.11]( 5.00) 1.00 [ -0.00]( 0.00) 1.11 [-11.11]( 5.00) 1.11 [-11.11]( 0.00) 1.11 [-11.11]( 0.00) 64 1.00 [ -0.00](12.81) 1.00 [ -0.00]( 0.00) 0.91 [ 9.09]( 5.34) 0.91 [ 9.09]( 5.00) 0.91 [ 9.09]( 5.00) 0.82 [ 18.18](10.68) 128 1.00 [ -0.00](12.14) 1.12 [-12.50]( 4.97) 0.81 [ 18.75](13.62) 1.06 [ -6.25]( 5.26) 0.94 [ 6.25](14.68) 0.81 [ 18.75]( 6.88) 256 1.00 [ -0.00]( 4.83) 0.98 [ 1.90]( 7.97) 0.98 [ 2.37]( 2.41) 0.95 [ 4.74]( 5.31) 0.95 [ 5.21]( 3.25) 0.97 [ 2.84]( 2.84) 512 1.00 [ -0.00]( 0.00) 0.98 [ 2.00]( 5.86) 0.96 [ 3.99]( 1.61) 0.83 [ 16.83]( 1.08) 0.85 [ 14.84]( 7.53) 0.97 [ 3.42]( 7.91) 768 1.00 [ -0.00]( 0.71) 0.96 [ 3.63](14.27) 0.96 [ 3.73]( 1.19) 0.67 [ 32.98]( 0.00) 0.67 [ 32.98]( 0.00) 0.67 [ 32.98]( 0.15) 1024 1.00 [ -0.00]( 2.55) 0.85 [ 14.99](14.23) 0.98 [ 1.80]( 0.82) 0.79 [ 21.29]( 0.00) 0.79 [ 21.29]( 0.00) 0.79 [ 21.29]( 0.00) ================================================================== Test : new-schbench-request-latency Units : Normalized 99th percentile latency in us Interpretation: Lower is better Statistic : Median ================================================================== #workers: tip[pct imp](CV) up[pct imp](CV) smp[pct imp](CV) max[pct imp](CV) concur[pct imp](CV) tasks[pct imp](CV) 1 1.00 [ -0.00]( 0.14) 1.00 [ -0.00]( 0.00) 1.00 [ -0.00]( 0.14) 1.00 [ -0.26]( 0.27) 1.01 [ -0.53]( 0.27) 1.00 [ -0.00]( 0.14) 2 1.00 [ -0.00]( 0.00) 1.00 [ 0.26]( 0.14) 1.02 [ -2.36]( 1.51) 0.99 [ 0.52]( 0.14) 1.00 [ -0.00]( 2.00) 1.00 [ -0.00]( 1.74) 4 1.00 [ -0.00]( 0.00) 1.00 [ 0.26]( 1.82) 1.03 [ -2.63]( 0.23) 0.99 [ 0.53]( 0.14) 1.00 [ -0.26]( 1.61) 1.03 [ -3.42]( 1.79) 8 1.00 [ -0.00]( 0.14) 0.99 [ 0.79]( 0.00) 1.00 [ -0.00]( 0.00) 0.99 [ 1.05]( 0.14) 1.00 [ -0.00]( 0.00) 1.00 [ -0.00]( 0.00) 16 1.00 [ -0.00]( 0.14) 1.00 [ -0.00]( 1.16) 1.00 [ -0.26]( 1.28) 0.99 [ 0.79]( 1.97) 1.00 [ -0.26]( 0.00) 1.02 [ -2.38]( 1.15) 32 1.00 [ -0.00]( 0.23) 0.99 [ 1.04]( 0.24) 1.00 [ -0.00]( 0.67) 0.99 [ 1.04]( 0.14) 0.99 [ 0.52]( 0.49) 0.99 [ 1.30]( 0.95) 64 1.00 [ -0.00](12.39) 1.72 [-71.69](26.18) 1.01 [ -1.29](28.90) 0.97 [ 3.09]( 0.27) 0.98 [ 2.06]( 0.41) 0.98 [ 2.32]( 1.22) 128 1.00 [ -0.00]( 4.75) 0.98 [ 2.07](12.01) 0.99 [ 0.59]( 0.41) 1.00 [ 0.30]( 3.02) 1.00 [ -0.00]( 2.72) 0.99 [ 0.59]( 0.77) 256 1.00 [ -0.00]( 0.13) 0.99 [ 0.76]( 0.13) 1.00 [ -0.00]( 0.13) 0.99 [ 0.76]( 0.00) 0.99 [ 0.51]( 0.13) 0.99 [ 0.51]( 0.13) 512 1.00 [ -0.00]( 7.49) 1.04 [ -4.36](28.15) 0.89 [ 10.50]( 4.15) 0.42 [ 57.93]( 9.03) 0.48 [ 52.23](25.18) 0.71 [ 28.83](25.82) 768 1.00 [ -0.00]( 3.13) 1.31 [-31.19](10.91) 1.10 [-10.13]( 1.12) 0.71 [ 28.69]( 3.69) 0.70 [ 29.59]( 3.58) 0.84 [ 15.65]( 4.74) 1024 1.00 [ -0.00]( 2.28) 1.44 [-44.48](16.05) 1.13 [-13.09]( 0.88) 0.85 [ 15.39]( 6.64) 0.85 [ 15.03]( 0.39) 0.81 [ 19.39]( 1.36) --- DeathStarBench was run on a 3rd Generation EPYC system (2 x 64C/128T) with boost enabled and C2 disabled: ================================================================== Test : DeathStarBench Units : %diff compared to tip Interpretation: Higher is better Statistic : Average throughput ================================================================== Scaling\cg_mode up smp max concur tasks 2x 1.63% -0.32% -0.03% -0.65% 0.62% 4x -4.94% 1.38% -6.59% 1.09% -6.11% 6x 1.83% 0.16% -0.87% 2.24% -0.23% --- I'll get to look any deeper into any of the regressions until Thursday but overall the concur mode seems good in my testing for most part. -- Thanks and Regards, Prateek