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SubjectRe: [RFC PATCH 06/16] arm: topology: Define TC2 sched energy and provide it to scheduler
On Mon, Jun 09, 2014 at 09:59:52AM +0100, Morten Rasmussen wrote:
> IMHO, the per-entity load-tracking does a fair job representing the task
> compute capacity requirements. Sure it isn't perfect, particularly not
> for memory bound tasks, but it is way better than not having any task
> history at all, which was the case before.
>
> The story is more or less the same for performance scaling. It is not
> taken into account at all in the scheduler at the moment. cpufreq is
> actually messing up load-balancing decisions after task load-tracking
> was introduced. Adding performance scaling awareness should only make
> things better even if predictions are not accurate for all workloads. I
> don't see why it shouldn't given the current state of energy-awareness
> in the scheduler.
>

Optimized IPC is good for sure (with regard to pstate adjustment). My point is
how it is practical to rightly correlate to scheduler and pstate
power-efficiency. Put another way, with fixed workload, you really can do such
a thing by offline running the workload several times to conclude with a very
power-efficient solution which takes IPC into account. Actually, lots of
people have done that in papers/reports (for SPECXXX or TPC-X for example). But
I can't see how online realtime workload can be done like it.

> > Currently, all freq governors take CPU utilization (load%) as the indicator
> > (target), which can server both: workload and perf scaling.
>
> With a bunch of hacks on top to make it more reactive because the
> current cpu utilization metric is not responsive enough to deal with
> workload changes. That is at least the case for ondemand and interactive
> (in Android).
>

To what end it is not responsive enough? And how it is related here?

Thanks,
Yuyang


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