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Date: Thu, 25 Sep 2014 15:48:47 +0200
From: Vincent Guittot <vincent.guittot@...aro.org>
To: Morten Rasmussen <morten.rasmussen@....com>
Cc: Peter Zijlstra <peterz@...radead.org>,
"mingo@...hat.com" <mingo@...hat.com>,
Dietmar Eggemann <dietmar.eggemann@....com>,
Paul Turner <pjt@...gle.com>,
Benjamin Segall <bsegall@...gle.com>,
Nicolas Pitre <nicolas.pitre@...aro.org>,
Mike Turquette <mturquette@...aro.org>,
"rjw@...ysocki.net" <rjw@...ysocki.net>,
linux-kernel <linux-kernel@...r.kernel.org>
Subject: Re: [PATCH 1/7] sched: Introduce scale-invariant load tracking
On 22 September 2014 18:24, Morten Rasmussen <morten.rasmussen@....com> wrote:
> From: Dietmar Eggemann <dietmar.eggemann@....com>
>
> The per-entity load-tracking currently neither accounts for frequency
> changes due to frequency scaling (cpufreq) nor for micro-architectural
> differences between cpus (ARM big.LITTLE). Comparing tracked loads
> between different cpus might therefore be quite misleading.
>
> This patch introduces a scale-invariance scaling factor to the
> load-tracking computation that can be used to compensate for compute
> capacity variations. The scaling factor is to be provided by the
> architecture through an arch specific function. It may be as simple as:
>
> current_freq(cpu) * SCHED_CAPACITY_SCALE / max_freq(cpu)
>
> If the architecture has more sophisticated ways of tracking compute
> capacity, it can do so in its implementation. By default, no scaling is
> applied.
>
> The patch is loosely based on a patch by Chris Redpath
> <Chris.Redpath@....com>.
>
> cc: Paul Turner <pjt@...gle.com>
> cc: Ben Segall <bsegall@...gle.com>
>
> Signed-off-by: Dietmar Eggemann <dietmar.eggemann@....com>
> Signed-off-by: Morten Rasmussen <morten.rasmussen@....com>
> ---
> kernel/sched/fair.c | 32 ++++++++++++++++++++++++++------
> 1 file changed, 26 insertions(+), 6 deletions(-)
>
> diff --git a/kernel/sched/fair.c b/kernel/sched/fair.c
> index 2a1e6ac..52abb3e 100644
> --- a/kernel/sched/fair.c
> +++ b/kernel/sched/fair.c
> @@ -2267,6 +2267,8 @@ static u32 __compute_runnable_contrib(u64 n)
> return contrib + runnable_avg_yN_sum[n];
> }
>
> +unsigned long arch_scale_load_capacity(int cpu);
Why haven't you used arch_scale_freq_capacity which has a similar
purpose in scaling the CPU capacity except the additional sched_domain
pointer argument ?
> +
> /*
> * We can represent the historical contribution to runnable average as the
> * coefficients of a geometric series. To do this we sub-divide our runnable
> @@ -2295,13 +2297,14 @@ static u32 __compute_runnable_contrib(u64 n)
> * 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,
> +static __always_inline int __update_entity_runnable_avg(u64 now, int cpu,
> struct sched_avg *sa,
> int runnable)
> {
> u64 delta, periods;
> u32 runnable_contrib;
> int delta_w, decayed = 0;
> + u32 scale_cap = arch_scale_load_capacity(cpu);
>
> delta = now - sa->last_runnable_update;
> /*
> @@ -2334,8 +2337,10 @@ static __always_inline int __update_entity_runnable_avg(u64 now,
> * period and accrue it.
> */
> delta_w = 1024 - delta_w;
> +
> if (runnable)
> - sa->runnable_avg_sum += delta_w;
> + sa->runnable_avg_sum += (delta_w * scale_cap)
> + >> SCHED_CAPACITY_SHIFT;
> sa->runnable_avg_period += delta_w;
>
> delta -= delta_w;
> @@ -2351,14 +2356,17 @@ static __always_inline int __update_entity_runnable_avg(u64 now,
>
> /* Efficiently calculate \sum (1..n_period) 1024*y^i */
> runnable_contrib = __compute_runnable_contrib(periods);
> +
> if (runnable)
> - sa->runnable_avg_sum += runnable_contrib;
> + sa->runnable_avg_sum += (runnable_contrib * scale_cap)
> + >> SCHED_CAPACITY_SHIFT;
> sa->runnable_avg_period += runnable_contrib;
> }
>
> /* Remainder of delta accrued against u_0` */
> if (runnable)
> - sa->runnable_avg_sum += delta;
> + sa->runnable_avg_sum += (delta * scale_cap)
> + >> SCHED_CAPACITY_SHIFT;
If we take the example of an always running task, its runnable_avg_sum
should stay at the LOAD_AVG_MAX value whatever the frequency of the
CPU on which it runs. But your change links the max value of
runnable_avg_sum with the current frequency of the CPU so an always
running task will have a load contribution of 25%
your proposed scaling is fine with usage_avg_sum which reflects the
effective running time on the CPU but the runnable_avg_sum should be
able to reach LOAD_AVG_MAX whatever the current frequency is
Regards,
Vincent
> sa->runnable_avg_period += delta;
>
> return decayed;
> @@ -2464,7 +2472,8 @@ static inline void __update_group_entity_contrib(struct sched_entity *se)
>
> static inline void update_rq_runnable_avg(struct rq *rq, int runnable)
> {
> - __update_entity_runnable_avg(rq_clock_task(rq), &rq->avg, runnable);
> + __update_entity_runnable_avg(rq_clock_task(rq), rq->cpu, &rq->avg,
> + runnable);
> __update_tg_runnable_avg(&rq->avg, &rq->cfs);
> }
> #else /* CONFIG_FAIR_GROUP_SCHED */
> @@ -2518,6 +2527,7 @@ static inline void update_entity_load_avg(struct sched_entity *se,
> {
> struct cfs_rq *cfs_rq = cfs_rq_of(se);
> long contrib_delta;
> + int cpu = rq_of(cfs_rq)->cpu;
> u64 now;
>
> /*
> @@ -2529,7 +2539,7 @@ static inline void update_entity_load_avg(struct sched_entity *se,
> else
> now = cfs_rq_clock_task(group_cfs_rq(se));
>
> - if (!__update_entity_runnable_avg(now, &se->avg, se->on_rq))
> + if (!__update_entity_runnable_avg(now, cpu, &se->avg, se->on_rq))
> return;
>
> contrib_delta = __update_entity_load_avg_contrib(se);
> @@ -5719,6 +5729,16 @@ unsigned long __weak arch_scale_cpu_capacity(struct sched_domain *sd, int cpu)
> return default_scale_cpu_capacity(sd, cpu);
> }
>
> +static unsigned long default_scale_load_capacity(int cpu)
> +{
> + return SCHED_CAPACITY_SCALE;
> +}
> +
> +unsigned long __weak arch_scale_load_capacity(int cpu)
> +{
> + return default_scale_load_capacity(cpu);
> +}
> +
> static unsigned long scale_rt_capacity(int cpu)
> {
> struct rq *rq = cpu_rq(cpu);
> --
> 1.7.9.5
>
>
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