| // SPDX-License-Identifier: GPL-2.0 |
| /* |
| * Per Entity Load Tracking |
| * |
| * Copyright (C) 2007 Red Hat, Inc., Ingo Molnar <mingo@redhat.com> |
| * |
| * Interactivity improvements by Mike Galbraith |
| * (C) 2007 Mike Galbraith <efault@gmx.de> |
| * |
| * Various enhancements by Dmitry Adamushko. |
| * (C) 2007 Dmitry Adamushko <dmitry.adamushko@gmail.com> |
| * |
| * Group scheduling enhancements by Srivatsa Vaddagiri |
| * Copyright IBM Corporation, 2007 |
| * Author: Srivatsa Vaddagiri <vatsa@linux.vnet.ibm.com> |
| * |
| * 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 |
| * |
| * Move PELT related code from fair.c into this pelt.c file |
| * Author: Vincent Guittot <vincent.guittot@linaro.org> |
| */ |
| |
| /* |
| * Approximate: |
| * val * y^n, where y^32 ~= 0.5 (~1 scheduling period) |
| */ |
| static u64 decay_load(u64 val, u64 n) |
| { |
| unsigned int local_n; |
| |
| if (unlikely(n > LOAD_AVG_PERIOD * 63)) |
| return 0; |
| |
| /* after bounds checking we can collapse to 32-bit */ |
| local_n = n; |
| |
| /* |
| * As y^PERIOD = 1/2, we can combine |
| * y^n = 1/2^(n/PERIOD) * y^(n%PERIOD) |
| * With a look-up table which covers y^n (n<PERIOD) |
| * |
| * To achieve constant time decay_load. |
| */ |
| if (unlikely(local_n >= LOAD_AVG_PERIOD)) { |
| val >>= local_n / LOAD_AVG_PERIOD; |
| local_n %= LOAD_AVG_PERIOD; |
| } |
| |
| val = mul_u64_u32_shr(val, runnable_avg_yN_inv[local_n], 32); |
| return val; |
| } |
| |
| static u32 __accumulate_pelt_segments(u64 periods, u32 d1, u32 d3) |
| { |
| u32 c1, c2, c3 = d3; /* y^0 == 1 */ |
| |
| /* |
| * c1 = d1 y^p |
| */ |
| c1 = decay_load((u64)d1, periods); |
| |
| /* |
| * p-1 |
| * c2 = 1024 \Sum y^n |
| * n=1 |
| * |
| * inf inf |
| * = 1024 ( \Sum y^n - \Sum y^n - y^0 ) |
| * n=0 n=p |
| */ |
| c2 = LOAD_AVG_MAX - decay_load(LOAD_AVG_MAX, periods) - 1024; |
| |
| return c1 + c2 + c3; |
| } |
| |
| /* |
| * Accumulate the three separate parts of the sum; d1 the remainder |
| * of the last (incomplete) period, d2 the span of full periods and d3 |
| * the remainder of the (incomplete) current period. |
| * |
| * d1 d2 d3 |
| * ^ ^ ^ |
| * | | | |
| * |<->|<----------------->|<--->| |
| * ... |---x---|------| ... |------|-----x (now) |
| * |
| * p-1 |
| * u' = (u + d1) y^p + 1024 \Sum y^n + d3 y^0 |
| * n=1 |
| * |
| * = u y^p + (Step 1) |
| * |
| * p-1 |
| * d1 y^p + 1024 \Sum y^n + d3 y^0 (Step 2) |
| * n=1 |
| */ |
| static __always_inline u32 |
| accumulate_sum(u64 delta, struct sched_avg *sa, |
| unsigned long load, unsigned long runnable, int running) |
| { |
| u32 contrib = (u32)delta; /* p == 0 -> delta < 1024 */ |
| u64 periods; |
| |
| delta += sa->period_contrib; |
| periods = delta / 1024; /* A period is 1024us (~1ms) */ |
| |
| /* |
| * Step 1: decay old *_sum if we crossed period boundaries. |
| */ |
| if (periods) { |
| sa->load_sum = decay_load(sa->load_sum, periods); |
| sa->runnable_sum = |
| decay_load(sa->runnable_sum, periods); |
| sa->util_sum = decay_load((u64)(sa->util_sum), periods); |
| |
| /* |
| * Step 2 |
| */ |
| delta %= 1024; |
| if (load) { |
| /* |
| * This relies on the: |
| * |
| * if (!load) |
| * runnable = running = 0; |
| * |
| * clause from ___update_load_sum(); this results in |
| * the below usage of @contrib to disappear entirely, |
| * so no point in calculating it. |
| */ |
| contrib = __accumulate_pelt_segments(periods, |
| 1024 - sa->period_contrib, delta); |
| } |
| } |
| sa->period_contrib = delta; |
| |
| if (load) |
| sa->load_sum += load * contrib; |
| if (runnable) |
| sa->runnable_sum += runnable * contrib << SCHED_CAPACITY_SHIFT; |
| if (running) |
| sa->util_sum += contrib << SCHED_CAPACITY_SHIFT; |
| |
| return periods; |
| } |
| |
| /* |
| * 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_load_sum(u64 now, struct sched_avg *sa, |
| unsigned long load, unsigned long runnable, int running) |
| { |
| u64 delta; |
| |
| delta = now - sa->last_update_time; |
| /* |
| * 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_update_time = 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_update_time += delta << 10; |
| |
| /* |
| * running is a subset of runnable (weight) so running can't be set if |
| * runnable is clear. But there are some corner cases where the current |
| * se has been already dequeued but cfs_rq->curr still points to it. |
| * This means that weight will be 0 but not running for a sched_entity |
| * but also for a cfs_rq if the latter becomes idle. As an example, |
| * this happens during idle_balance() which calls |
| * update_blocked_averages(). |
| * |
| * Also see the comment in accumulate_sum(). |
| */ |
| if (!load) |
| runnable = running = 0; |
| |
| /* |
| * Now we know we crossed measurement unit boundaries. The *_avg |
| * accrues by two steps: |
| * |
| * Step 1: accumulate *_sum since last_update_time. If we haven't |
| * crossed period boundaries, finish. |
| */ |
| if (!accumulate_sum(delta, sa, load, runnable, running)) |
| return 0; |
| |
| return 1; |
| } |
| |
| /* |
| * When syncing *_avg with *_sum, we must take into account the current |
| * position in the PELT segment otherwise the remaining part of the segment |
| * will be considered as idle time whereas it's not yet elapsed and this will |
| * generate unwanted oscillation in the range [1002..1024[. |
| * |
| * The max value of *_sum varies with the position in the time segment and is |
| * equals to : |
| * |
| * LOAD_AVG_MAX*y + sa->period_contrib |
| * |
| * which can be simplified into: |
| * |
| * LOAD_AVG_MAX - 1024 + sa->period_contrib |
| * |
| * because LOAD_AVG_MAX*y == LOAD_AVG_MAX-1024 |
| * |
| * The same care must be taken when a sched entity is added, updated or |
| * removed from a cfs_rq and we need to update sched_avg. Scheduler entities |
| * and the cfs rq, to which they are attached, have the same position in the |
| * time segment because they use the same clock. This means that we can use |
| * the period_contrib of cfs_rq when updating the sched_avg of a sched_entity |
| * if it's more convenient. |
| */ |
| static __always_inline void |
| ___update_load_avg(struct sched_avg *sa, unsigned long load) |
| { |
| u32 divider = get_pelt_divider(sa); |
| |
| /* |
| * Step 2: update *_avg. |
| */ |
| sa->load_avg = div_u64(load * sa->load_sum, divider); |
| sa->runnable_avg = div_u64(sa->runnable_sum, divider); |
| WRITE_ONCE(sa->util_avg, sa->util_sum / divider); |
| } |
| |
| /* |
| * sched_entity: |
| * |
| * task: |
| * se_weight() = se->load.weight |
| * se_runnable() = !!on_rq |
| * |
| * group: [ see update_cfs_group() ] |
| * se_weight() = tg->weight * grq->load_avg / tg->load_avg |
| * se_runnable() = grq->h_nr_running |
| * |
| * runnable_sum = se_runnable() * runnable = grq->runnable_sum |
| * runnable_avg = runnable_sum |
| * |
| * load_sum := runnable |
| * load_avg = se_weight(se) * load_sum |
| * |
| * cfq_rq: |
| * |
| * runnable_sum = \Sum se->avg.runnable_sum |
| * runnable_avg = \Sum se->avg.runnable_avg |
| * |
| * load_sum = \Sum se_weight(se) * se->avg.load_sum |
| * load_avg = \Sum se->avg.load_avg |
| */ |
| |
| int __update_load_avg_blocked_se(u64 now, struct sched_entity *se) |
| { |
| if (___update_load_sum(now, &se->avg, 0, 0, 0)) { |
| ___update_load_avg(&se->avg, se_weight(se)); |
| trace_pelt_se_tp(se); |
| return 1; |
| } |
| |
| return 0; |
| } |
| EXPORT_SYMBOL_GPL(__update_load_avg_blocked_se); |
| |
| int __update_load_avg_se(u64 now, struct cfs_rq *cfs_rq, struct sched_entity *se) |
| { |
| if (___update_load_sum(now, &se->avg, !!se->on_rq, se_runnable(se), |
| cfs_rq->curr == se)) { |
| |
| ___update_load_avg(&se->avg, se_weight(se)); |
| cfs_se_util_change(&se->avg); |
| trace_pelt_se_tp(se); |
| return 1; |
| } |
| |
| return 0; |
| } |
| |
| int __update_load_avg_cfs_rq(u64 now, struct cfs_rq *cfs_rq) |
| { |
| if (___update_load_sum(now, &cfs_rq->avg, |
| scale_load_down(cfs_rq->load.weight), |
| cfs_rq->h_nr_running, |
| cfs_rq->curr != NULL)) { |
| |
| ___update_load_avg(&cfs_rq->avg, 1); |
| trace_pelt_cfs_tp(cfs_rq); |
| return 1; |
| } |
| |
| return 0; |
| } |
| |
| /* |
| * rt_rq: |
| * |
| * util_sum = \Sum se->avg.util_sum but se->avg.util_sum is not tracked |
| * util_sum = cpu_scale * load_sum |
| * runnable_sum = util_sum |
| * |
| * load_avg and runnable_avg are not supported and meaningless. |
| * |
| */ |
| |
| int update_rt_rq_load_avg(u64 now, struct rq *rq, int running) |
| { |
| if (___update_load_sum(now, &rq->avg_rt, |
| running, |
| running, |
| running)) { |
| |
| ___update_load_avg(&rq->avg_rt, 1); |
| trace_pelt_rt_tp(rq); |
| return 1; |
| } |
| |
| return 0; |
| } |
| |
| /* |
| * dl_rq: |
| * |
| * util_sum = \Sum se->avg.util_sum but se->avg.util_sum is not tracked |
| * util_sum = cpu_scale * load_sum |
| * runnable_sum = util_sum |
| * |
| * load_avg and runnable_avg are not supported and meaningless. |
| * |
| */ |
| |
| int update_dl_rq_load_avg(u64 now, struct rq *rq, int running) |
| { |
| if (___update_load_sum(now, &rq->avg_dl, |
| running, |
| running, |
| running)) { |
| |
| ___update_load_avg(&rq->avg_dl, 1); |
| trace_pelt_dl_tp(rq); |
| return 1; |
| } |
| |
| return 0; |
| } |
| |
| #ifdef CONFIG_SCHED_THERMAL_PRESSURE |
| /* |
| * thermal: |
| * |
| * load_sum = \Sum se->avg.load_sum but se->avg.load_sum is not tracked |
| * |
| * util_avg and runnable_load_avg are not supported and meaningless. |
| * |
| * Unlike rt/dl utilization tracking that track time spent by a cpu |
| * running a rt/dl task through util_avg, the average thermal pressure is |
| * tracked through load_avg. This is because thermal pressure signal is |
| * time weighted "delta" capacity unlike util_avg which is binary. |
| * "delta capacity" = actual capacity - |
| * capped capacity a cpu due to a thermal event. |
| */ |
| |
| int update_thermal_load_avg(u64 now, struct rq *rq, u64 capacity) |
| { |
| if (___update_load_sum(now, &rq->avg_thermal, |
| capacity, |
| capacity, |
| capacity)) { |
| ___update_load_avg(&rq->avg_thermal, 1); |
| trace_pelt_thermal_tp(rq); |
| return 1; |
| } |
| |
| return 0; |
| } |
| #endif |
| |
| #ifdef CONFIG_HAVE_SCHED_AVG_IRQ |
| /* |
| * irq: |
| * |
| * util_sum = \Sum se->avg.util_sum but se->avg.util_sum is not tracked |
| * util_sum = cpu_scale * load_sum |
| * runnable_sum = util_sum |
| * |
| * load_avg and runnable_avg are not supported and meaningless. |
| * |
| */ |
| |
| int update_irq_load_avg(struct rq *rq, u64 running) |
| { |
| int ret = 0; |
| |
| /* |
| * We can't use clock_pelt because irq time is not accounted in |
| * clock_task. Instead we directly scale the running time to |
| * reflect the real amount of computation |
| */ |
| running = cap_scale(running, arch_scale_freq_capacity(cpu_of(rq))); |
| running = cap_scale(running, arch_scale_cpu_capacity(cpu_of(rq))); |
| |
| /* |
| * We know the time that has been used by interrupt since last update |
| * but we don't when. Let be pessimistic and assume that interrupt has |
| * happened just before the update. This is not so far from reality |
| * because interrupt will most probably wake up task and trig an update |
| * of rq clock during which the metric is updated. |
| * We start to decay with normal context time and then we add the |
| * interrupt context time. |
| * We can safely remove running from rq->clock because |
| * rq->clock += delta with delta >= running |
| */ |
| ret = ___update_load_sum(rq->clock - running, &rq->avg_irq, |
| 0, |
| 0, |
| 0); |
| ret += ___update_load_sum(rq->clock, &rq->avg_irq, |
| 1, |
| 1, |
| 1); |
| |
| if (ret) { |
| ___update_load_avg(&rq->avg_irq, 1); |
| trace_pelt_irq_tp(rq); |
| } |
| |
| return ret; |
| } |
| #endif |