atomic64_read(&cfs_rq->tg->load_avg));
SEQ_printf(m, " .%-30s: %lld\n", "tg_load_contrib",
cfs_rq->tg_load_contrib);
+ SEQ_printf(m, " .%-30s: %d\n", "tg_runnable_contrib",
+ cfs_rq->tg_runnable_contrib);
+ SEQ_printf(m, " .%-30s: %d\n", "tg->runnable_avg",
+ atomic_read(&cfs_rq->tg->runnable_avg));
#endif
print_cfs_group_stats(m, cpu, cfs_rq->tg);
}
}
+/*
+ * Aggregate cfs_rq runnable averages into an equivalent task_group
+ * representation for computing load contributions.
+ */
+static inline void __update_tg_runnable_avg(struct sched_avg *sa,
+ struct cfs_rq *cfs_rq)
+{
+ struct task_group *tg = cfs_rq->tg;
+ long contrib;
+
+ /* The fraction of a cpu used by this cfs_rq */
+ contrib = div_u64(sa->runnable_avg_sum << NICE_0_SHIFT,
+ sa->runnable_avg_period + 1);
+ contrib -= cfs_rq->tg_runnable_contrib;
+
+ if (abs(contrib) > cfs_rq->tg_runnable_contrib / 64) {
+ atomic_add(contrib, &tg->runnable_avg);
+ cfs_rq->tg_runnable_contrib += contrib;
+ }
+}
+
static inline void __update_group_entity_contrib(struct sched_entity *se)
{
struct cfs_rq *cfs_rq = group_cfs_rq(se);
struct task_group *tg = cfs_rq->tg;
+ int runnable_avg;
+
u64 contrib;
contrib = cfs_rq->tg_load_contrib * tg->shares;
se->avg.load_avg_contrib = div64_u64(contrib,
atomic64_read(&tg->load_avg) + 1);
+
+ /*
+ * For group entities we need to compute a correction term in the case
+ * that they are consuming <1 cpu so that we would contribute the same
+ * load as a task of equal weight.
+ *
+ * Explicitly co-ordinating this measurement would be expensive, but
+ * fortunately the sum of each cpus contribution forms a usable
+ * lower-bound on the true value.
+ *
+ * Consider the aggregate of 2 contributions. Either they are disjoint
+ * (and the sum represents true value) or they are disjoint and we are
+ * understating by the aggregate of their overlap.
+ *
+ * Extending this to N cpus, for a given overlap, the maximum amount we
+ * understand is then n_i(n_i+1)/2 * w_i where n_i is the number of
+ * cpus that overlap for this interval and w_i is the interval width.
+ *
+ * On a small machine; the first term is well-bounded which bounds the
+ * total error since w_i is a subset of the period. Whereas on a
+ * larger machine, while this first term can be larger, if w_i is the
+ * of consequential size guaranteed to see n_i*w_i quickly converge to
+ * our upper bound of 1-cpu.
+ */
+ runnable_avg = atomic_read(&tg->runnable_avg);
+ if (runnable_avg < NICE_0_LOAD) {
+ se->avg.load_avg_contrib *= runnable_avg;
+ se->avg.load_avg_contrib >>= NICE_0_SHIFT;
+ }
}
#else
static inline void __update_cfs_rq_tg_load_contrib(struct cfs_rq *cfs_rq,
int force_update) {}
+static inline void __update_tg_runnable_avg(struct sched_avg *sa,
+ struct cfs_rq *cfs_rq) {}
static inline void __update_group_entity_contrib(struct sched_entity *se) {}
#endif
if (entity_is_task(se)) {
__update_task_entity_contrib(se);
} else {
+ __update_tg_runnable_avg(&se->avg, group_cfs_rq(se));
__update_group_entity_contrib(se);
}
static inline void update_rq_runnable_avg(struct rq *rq, int runnable)
{
__update_entity_runnable_avg(rq->clock_task, &rq->avg, runnable);
+ __update_tg_runnable_avg(&rq->avg, &rq->cfs);
}
/* Add the load generated by se into cfs_rq's child load-average */