• R
    sched/numa: Normalize faults_cpu stats and weigh by CPU use · 7e2703e6
    Rik van Riel 提交于
    Tracing the code that decides the active nodes has made it abundantly clear
    that the naive implementation of the faults_from code has issues.
    
    Specifically, the garbage collector in some workloads will access orders
    of magnitudes more memory than the threads that do all the active work.
    This resulted in the node with the garbage collector being marked the only
    active node in the group.
    
    This issue is avoided if we weigh the statistics by CPU use of each task in
    the numa group, instead of by how many faults each thread has occurred.
    
    To achieve this, we normalize the number of faults to the fraction of faults
    that occurred on each node, and then multiply that fraction by the fraction
    of CPU time the task has used since the last time task_numa_placement was
    invoked.
    
    This way the nodes in the active node mask will be the ones where the tasks
    from the numa group are most actively running, and the influence of eg. the
    garbage collector and other do-little threads is properly minimized.
    
    On a 4 node system, using CPU use statistics calculated over a longer interval
    results in about 1% fewer page migrations with two 32-warehouse specjbb runs
    on a 4 node system, and about 5% fewer page migrations, as well as 1% better
    throughput, with two 8-warehouse specjbb runs, as compared with the shorter
    term statistics kept by the scheduler.
    Signed-off-by: NRik van Riel <riel@redhat.com>
    Acked-by: NMel Gorman <mgorman@suse.de>
    Signed-off-by: NPeter Zijlstra <peterz@infradead.org>
    Cc: Chegu Vinod <chegu_vinod@hp.com>
    Link: http://lkml.kernel.org/r/1390860228-21539-7-git-send-email-riel@redhat.comSigned-off-by: NIngo Molnar <mingo@kernel.org>
    7e2703e6
sched.h 83.3 KB