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authorMel Gorman <mgorman@techsingularity.net>2020-11-20 12:06:30 +0300
committerPeter Zijlstra <peterz@infradead.org>2020-11-24 18:47:48 +0300
commit23e6082a522e32232f7377540b4d42d8304253b8 (patch)
treea9877441137f120d3bac536c8b0f0b6d6b885528 /include/linux/i8253.h
parent7d2b5dd0bcc48095651f1b85f751eef610b3e034 (diff)
downloadlinux-23e6082a522e32232f7377540b4d42d8304253b8.tar.xz
sched: Limit the amount of NUMA imbalance that can exist at fork time
At fork time currently, a local node can be allowed to fill completely and allow the periodic load balancer to fix the problem. This can be problematic in cases where a task creates lots of threads that idle until woken as part of a worker poll causing a memory bandwidth problem. However, a "real" workload suffers badly from this behaviour. The workload in question is mostly NUMA aware but spawns large numbers of threads that act as a worker pool that can be called from anywhere. These need to spread early to get reasonable behaviour. This patch limits how much a local node can fill before spilling over to another node and it will not be a universal win. Specifically, very short-lived workloads that fit within a NUMA node would prefer the memory bandwidth. As I cannot describe the "real" workload, the best proxy measure I found for illustration was a page fault microbenchmark. It's not representative of the workload but demonstrates the hazard of the current behaviour. pft timings 5.10.0-rc2 5.10.0-rc2 imbalancefloat-v2 forkspread-v2 Amean elapsed-1 46.37 ( 0.00%) 46.05 * 0.69%* Amean elapsed-4 12.43 ( 0.00%) 12.49 * -0.47%* Amean elapsed-7 7.61 ( 0.00%) 7.55 * 0.81%* Amean elapsed-12 4.79 ( 0.00%) 4.80 ( -0.17%) Amean elapsed-21 3.13 ( 0.00%) 2.89 * 7.74%* Amean elapsed-30 3.65 ( 0.00%) 2.27 * 37.62%* Amean elapsed-48 3.08 ( 0.00%) 2.13 * 30.69%* Amean elapsed-79 2.00 ( 0.00%) 1.90 * 4.95%* Amean elapsed-80 2.00 ( 0.00%) 1.90 * 4.70%* This is showing the time to fault regions belonging to threads. The target machine has 80 logical CPUs and two nodes. Note the ~30% gain when the machine is approximately the point where one node becomes fully utilised. The slower results are borderline noise. Kernel building shows similar benefits around the same balance point. Generally performance was either neutral or better in the tests conducted. The main consideration with this patch is the point where fork stops spreading a task so some workloads may benefit from different balance points but it would be a risky tuning parameter. Signed-off-by: Mel Gorman <mgorman@techsingularity.net> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Vincent Guittot <vincent.guittot@linaro.org> Link: https://lkml.kernel.org/r/20201120090630.3286-5-mgorman@techsingularity.net
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