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author | Peter Zijlstra <a.p.zijlstra@chello.nl> | 2007-08-25 18:41:53 +0200 |
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committer | Ingo Molnar <mingo@elte.hu> | 2007-08-25 18:41:53 +0200 |
commit | 218050855ece4e923106ab614ac65afa0f618df3 (patch) | |
tree | f7b1234ce9e8ad0bc5d5af949949251240ec6a2c /kernel/sched_fair.c | |
parent | 1fc84aaae3bae9646dd4c7798b8c0ff934338909 (diff) | |
download | blackbird-op-linux-218050855ece4e923106ab614ac65afa0f618df3.tar.gz blackbird-op-linux-218050855ece4e923106ab614ac65afa0f618df3.zip |
sched: adaptive scheduler granularity
Instead of specifying the preemption granularity, specify the wanted
latency. By fixing the granlarity to a constany the wakeup latency
it a function of the number of running tasks on the rq.
Invert this relation.
sysctl_sched_granularity becomes a minimum for the dynamic granularity
computed from the new sysctl_sched_latency.
Then use this latency to do more intelligent granularity decisions: if
there are fewer tasks running then we can schedule coarser. This helps
performance while still always keeping the latency target.
Signed-off-by: Peter Zijlstra <a.p.zijlstra@chello.nl>
Signed-off-by: Ingo Molnar <mingo@elte.hu>
Diffstat (limited to 'kernel/sched_fair.c')
-rw-r--r-- | kernel/sched_fair.c | 77 |
1 files changed, 65 insertions, 12 deletions
diff --git a/kernel/sched_fair.c b/kernel/sched_fair.c index 4d6b7e2df2aa..0ba1e60f08d0 100644 --- a/kernel/sched_fair.c +++ b/kernel/sched_fair.c @@ -15,23 +15,32 @@ * * Scaled math optimizations by Thomas Gleixner * Copyright (C) 2007, Thomas Gleixner <tglx@linutronix.de> + * + * Adaptive scheduling granularity, math enhancements by Peter Zijlstra + * Copyright (C) 2007 Red Hat, Inc., Peter Zijlstra <pzijlstr@redhat.com> */ /* - * Preemption granularity: - * (default: 10 msec, units: nanoseconds) + * Targeted preemption latency for CPU-bound tasks: + * (default: 20ms, units: nanoseconds) * - * NOTE: this granularity value is not the same as the concept of - * 'timeslice length' - timeslices in CFS will typically be somewhat - * larger than this value. (to see the precise effective timeslice - * length of your workload, run vmstat and monitor the context-switches - * field) + * NOTE: this latency value is not the same as the concept of + * 'timeslice length' - timeslices in CFS are of variable length. + * (to see the precise effective timeslice length of your workload, + * run vmstat and monitor the context-switches field) * * On SMP systems the value of this is multiplied by the log2 of the * number of CPUs. (i.e. factor 2x on 2-way systems, 3x on 4-way * systems, 4x on 8-way systems, 5x on 16-way systems, etc.) + * Targeted preemption latency for CPU-bound tasks: */ -unsigned int sysctl_sched_granularity __read_mostly = 10000000UL; +unsigned int sysctl_sched_latency __read_mostly = 20000000ULL; + +/* + * Minimal preemption granularity for CPU-bound tasks: + * (default: 2 msec, units: nanoseconds) + */ +unsigned int sysctl_sched_granularity __read_mostly = 2000000ULL; /* * SCHED_BATCH wake-up granularity. @@ -213,6 +222,49 @@ static struct sched_entity *__pick_next_entity(struct cfs_rq *cfs_rq) */ /* + * Calculate the preemption granularity needed to schedule every + * runnable task once per sysctl_sched_latency amount of time. + * (down to a sensible low limit on granularity) + * + * For example, if there are 2 tasks running and latency is 10 msecs, + * we switch tasks every 5 msecs. If we have 3 tasks running, we have + * to switch tasks every 3.33 msecs to get a 10 msecs observed latency + * for each task. We do finer and finer scheduling up to until we + * reach the minimum granularity value. + * + * To achieve this we use the following dynamic-granularity rule: + * + * gran = lat/nr - lat/nr/nr + * + * This comes out of the following equations: + * + * kA1 + gran = kB1 + * kB2 + gran = kA2 + * kA2 = kA1 + * kB2 = kB1 - d + d/nr + * lat = d * nr + * + * Where 'k' is key, 'A' is task A (waiting), 'B' is task B (running), + * '1' is start of time, '2' is end of time, 'd' is delay between + * 1 and 2 (during which task B was running), 'nr' is number of tasks + * running, 'lat' is the the period of each task. ('lat' is the + * sched_latency that we aim for.) + */ +static long +sched_granularity(struct cfs_rq *cfs_rq) +{ + unsigned int gran = sysctl_sched_latency; + unsigned int nr = cfs_rq->nr_running; + + if (nr > 1) { + gran = gran/nr - gran/nr/nr; + gran = max(gran, sysctl_sched_granularity); + } + + return gran; +} + +/* * We rescale the rescheduling granularity of tasks according to their * nice level, but only linearly, not exponentially: */ @@ -302,7 +354,7 @@ __update_curr(struct cfs_rq *cfs_rq, struct sched_entity *curr) delta_fair = calc_delta_fair(delta_exec, lw); delta_mine = calc_delta_mine(delta_exec, curr->load.weight, lw); - if (cfs_rq->sleeper_bonus > sysctl_sched_granularity) { + if (cfs_rq->sleeper_bonus > sysctl_sched_latency) { delta = min((u64)delta_mine, cfs_rq->sleeper_bonus); delta = min(delta, (unsigned long)( (long)sysctl_sched_runtime_limit - curr->wait_runtime)); @@ -689,7 +741,8 @@ static void entity_tick(struct cfs_rq *cfs_rq, struct sched_entity *curr) if (next == curr) return; - __check_preempt_curr_fair(cfs_rq, next, curr, sysctl_sched_granularity); + __check_preempt_curr_fair(cfs_rq, next, curr, + sched_granularity(cfs_rq)); } /************************************************** @@ -1034,7 +1087,7 @@ static void task_new_fair(struct rq *rq, struct task_struct *p) * it will preempt the parent: */ p->se.fair_key = current->se.fair_key - - niced_granularity(&rq->curr->se, sysctl_sched_granularity) - 1; + niced_granularity(&rq->curr->se, sched_granularity(cfs_rq)) - 1; /* * The first wait is dominated by the child-runs-first logic, * so do not credit it with that waiting time yet: @@ -1047,7 +1100,7 @@ static void task_new_fair(struct rq *rq, struct task_struct *p) * -granularity/2, so initialize the task with that: */ if (sysctl_sched_features & SCHED_FEAT_START_DEBIT) - p->se.wait_runtime = -((long)sysctl_sched_granularity / 2); + p->se.wait_runtime = -(sched_granularity(cfs_rq) / 2); __enqueue_entity(cfs_rq, se); } |