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author | Paul Turner <pjt@google.com> | 2012-10-04 13:18:29 +0200 |
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committer | Ingo Molnar <mingo@kernel.org> | 2012-10-24 10:27:18 +0200 |
commit | 9d85f21c94f7f7a84d0ba686c58aa6d9da58fdbb (patch) | |
tree | bec53516fbe39007b12250423b7a09e7b62184c3 | |
parent | 0e9e3e306c7e472bdcffa34c4c4584301eda03b3 (diff) | |
download | lwn-9d85f21c94f7f7a84d0ba686c58aa6d9da58fdbb.tar.gz lwn-9d85f21c94f7f7a84d0ba686c58aa6d9da58fdbb.zip |
sched: Track the runnable average on a per-task entity basis
Instead of tracking averaging the load parented by a cfs_rq, we can track
entity load directly. With the load for a given cfs_rq then being the sum
of its children.
To do this we represent the historical contribution to runnable average
within each trailing 1024us of execution as the coefficients of a
geometric series.
We can express this for a given task t as:
runnable_sum(t) = \Sum u_i * y^i, runnable_avg_period(t) = \Sum 1024 * y^i
load(t) = weight_t * runnable_sum(t) / runnable_avg_period(t)
Where: u_i is the usage in the last i`th 1024us period (approximately 1ms)
~ms and y is chosen such that y^k = 1/2. We currently choose k to be 32 which
roughly translates to about a sched period.
Signed-off-by: Paul Turner <pjt@google.com>
Reviewed-by: Ben Segall <bsegall@google.com>
Signed-off-by: Peter Zijlstra <a.p.zijlstra@chello.nl>
Link: http://lkml.kernel.org/r/20120823141506.372695337@google.com
Signed-off-by: Ingo Molnar <mingo@kernel.org>
-rw-r--r-- | include/linux/sched.h | 13 | ||||
-rw-r--r-- | kernel/sched/core.c | 5 | ||||
-rw-r--r-- | kernel/sched/debug.c | 4 | ||||
-rw-r--r-- | kernel/sched/fair.c | 129 |
4 files changed, 151 insertions, 0 deletions
diff --git a/include/linux/sched.h b/include/linux/sched.h index 0dd42a02df2e..418fc6d8a4da 100644 --- a/include/linux/sched.h +++ b/include/linux/sched.h @@ -1095,6 +1095,16 @@ struct load_weight { unsigned long weight, inv_weight; }; +struct sched_avg { + /* + * These sums represent an infinite geometric series and so are bound + * above by 1024/(1-y). Thus we only need a u32 to store them for for all + * choices of y < 1-2^(-32)*1024. + */ + u32 runnable_avg_sum, runnable_avg_period; + u64 last_runnable_update; +}; + #ifdef CONFIG_SCHEDSTATS struct sched_statistics { u64 wait_start; @@ -1155,6 +1165,9 @@ struct sched_entity { /* rq "owned" by this entity/group: */ struct cfs_rq *my_q; #endif +#ifdef CONFIG_SMP + struct sched_avg avg; +#endif }; struct sched_rt_entity { diff --git a/kernel/sched/core.c b/kernel/sched/core.c index 2d8927fda712..fd9d0859350a 100644 --- a/kernel/sched/core.c +++ b/kernel/sched/core.c @@ -1524,6 +1524,11 @@ static void __sched_fork(struct task_struct *p) p->se.vruntime = 0; INIT_LIST_HEAD(&p->se.group_node); +#ifdef CONFIG_SMP + p->se.avg.runnable_avg_period = 0; + p->se.avg.runnable_avg_sum = 0; +#endif + #ifdef CONFIG_SCHEDSTATS memset(&p->se.statistics, 0, sizeof(p->se.statistics)); #endif diff --git a/kernel/sched/debug.c b/kernel/sched/debug.c index 6f79596e0ea9..61f70979153a 100644 --- a/kernel/sched/debug.c +++ b/kernel/sched/debug.c @@ -85,6 +85,10 @@ static void print_cfs_group_stats(struct seq_file *m, int cpu, struct task_group P(se->statistics.wait_count); #endif P(se->load.weight); +#ifdef CONFIG_SMP + P(se->avg.runnable_avg_sum); + P(se->avg.runnable_avg_period); +#endif #undef PN #undef P } diff --git a/kernel/sched/fair.c b/kernel/sched/fair.c index 6b800a14b990..16d67f9b6955 100644 --- a/kernel/sched/fair.c +++ b/kernel/sched/fair.c @@ -971,6 +971,126 @@ static inline void update_entity_shares_tick(struct cfs_rq *cfs_rq) } #endif /* CONFIG_FAIR_GROUP_SCHED */ +#ifdef CONFIG_SMP +/* + * Approximate: + * val * y^n, where y^32 ~= 0.5 (~1 scheduling period) + */ +static __always_inline u64 decay_load(u64 val, u64 n) +{ + for (; n && val; n--) { + val *= 4008; + val >>= 12; + } + + return val; +} + +/* + * We can represent the historical contribution to runnable average as the + * coefficients of a geometric series. To do this we sub-divide our runnable + * history into segments of approximately 1ms (1024us); label the segment that + * occurred N-ms ago p_N, with p_0 corresponding to the current period, e.g. + * + * [<- 1024us ->|<- 1024us ->|<- 1024us ->| ... + * p0 p1 p2 + * (now) (~1ms ago) (~2ms ago) + * + * Let u_i denote the fraction of p_i that the entity was runnable. + * + * We then designate the fractions u_i as our co-efficients, yielding the + * following representation of historical load: + * u_0 + u_1*y + u_2*y^2 + u_3*y^3 + ... + * + * We choose y based on the with of a reasonably scheduling period, fixing: + * y^32 = 0.5 + * + * This means that the contribution to load ~32ms ago (u_32) will be weighted + * approximately half as much as the contribution to load within the last ms + * (u_0). + * + * When a period "rolls over" and we have new u_0`, multiplying the previous + * sum again by y is sufficient to update: + * load_avg = u_0` + y*(u_0 + u_1*y + u_2*y^2 + ... ) + * = u_0 + u_1*y + u_2*y^2 + ... [re-labeling u_i --> u_{i+1}] + */ +static __always_inline int __update_entity_runnable_avg(u64 now, + struct sched_avg *sa, + int runnable) +{ + u64 delta; + int delta_w, decayed = 0; + + delta = now - sa->last_runnable_update; + /* + * This should only happen when time goes backwards, which it + * unfortunately does during sched clock init when we swap over to TSC. + */ + if ((s64)delta < 0) { + sa->last_runnable_update = now; + return 0; + } + + /* + * Use 1024ns as the unit of measurement since it's a reasonable + * approximation of 1us and fast to compute. + */ + delta >>= 10; + if (!delta) + return 0; + sa->last_runnable_update = now; + + /* delta_w is the amount already accumulated against our next period */ + delta_w = sa->runnable_avg_period % 1024; + if (delta + delta_w >= 1024) { + /* period roll-over */ + decayed = 1; + + /* + * Now that we know we're crossing a period boundary, figure + * out how much from delta we need to complete the current + * period and accrue it. + */ + delta_w = 1024 - delta_w; + BUG_ON(delta_w > delta); + do { + if (runnable) + sa->runnable_avg_sum += delta_w; + sa->runnable_avg_period += delta_w; + + /* + * Remainder of delta initiates a new period, roll over + * the previous. + */ + sa->runnable_avg_sum = + decay_load(sa->runnable_avg_sum, 1); + sa->runnable_avg_period = + decay_load(sa->runnable_avg_period, 1); + + delta -= delta_w; + /* New period is empty */ + delta_w = 1024; + } while (delta >= 1024); + } + + /* Remainder of delta accrued against u_0` */ + if (runnable) + sa->runnable_avg_sum += delta; + sa->runnable_avg_period += delta; + + return decayed; +} + +/* Update a sched_entity's runnable average */ +static inline void update_entity_load_avg(struct sched_entity *se) +{ + __update_entity_runnable_avg(rq_of(cfs_rq_of(se))->clock_task, &se->avg, + se->on_rq); +} +#else +static inline void update_entity_load_avg(struct sched_entity *se) {} +#endif + static void enqueue_sleeper(struct cfs_rq *cfs_rq, struct sched_entity *se) { #ifdef CONFIG_SCHEDSTATS @@ -1097,6 +1217,7 @@ enqueue_entity(struct cfs_rq *cfs_rq, struct sched_entity *se, int flags) */ update_curr(cfs_rq); update_cfs_load(cfs_rq, 0); + update_entity_load_avg(se); account_entity_enqueue(cfs_rq, se); update_cfs_shares(cfs_rq); @@ -1171,6 +1292,7 @@ dequeue_entity(struct cfs_rq *cfs_rq, struct sched_entity *se, int flags) * Update run-time statistics of the 'current'. */ update_curr(cfs_rq); + update_entity_load_avg(se); update_stats_dequeue(cfs_rq, se); if (flags & DEQUEUE_SLEEP) { @@ -1340,6 +1462,8 @@ static void put_prev_entity(struct cfs_rq *cfs_rq, struct sched_entity *prev) update_stats_wait_start(cfs_rq, prev); /* Put 'current' back into the tree. */ __enqueue_entity(cfs_rq, prev); + /* in !on_rq case, update occurred at dequeue */ + update_entity_load_avg(prev); } cfs_rq->curr = NULL; } @@ -1353,6 +1477,11 @@ entity_tick(struct cfs_rq *cfs_rq, struct sched_entity *curr, int queued) update_curr(cfs_rq); /* + * Ensure that runnable average is periodically updated. + */ + update_entity_load_avg(curr); + + /* * Update share accounting for long-running entities. */ update_entity_shares_tick(cfs_rq); |