Re: [RFC] GPU-bound energy efficiency improvements for the intel_pstate driver (v2.99)

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On 5/15/20 7:09 PM, Valentin Schneider wrote:

On 15/05/20 01:48, Francisco Jerez wrote:
Valentin Schneider <valentin.schneider@xxxxxxx> writes:

(+Lukasz)

On 11/05/20 22:01, Francisco Jerez wrote:
What I'm missing is an explanation for why this isn't using the
infrastructure that was build for these kinds of things? The thermal
framework, was AFAIU, supposed to help with these things, and the IPA
thing in particular is used by ARM to do exactly this GPU/CPU power
budget thing.

If thermal/IPA is found wanting, why aren't we improving that?

The GPU/CPU power budget "thing" is only a positive side effect of this
series on some TDP-bound systems.  Its ultimate purpose is improving the
energy efficiency of workloads which have a bottleneck on a device other
than the CPU, by giving the bottlenecking device driver some influence
over the response latency of CPUFREQ governors via a PM QoS interface.
This seems to be completely outside the scope of the thermal framework
and IPA AFAIU.


It's been a while since I've stared at IPA, but it does sound vaguely
familiar.

When thermally constrained, IPA figures out a budget and splits it between
actors (cpufreq and devfreq devices) depending on how much juice they are
asking for; see cpufreq_get_requested_power() and
devfreq_cooling_get_requested_power(). There's also some weighing involved.


I'm aware of those.  Main problem is that the current mechanism for IPA
to figure out the requested power of each actor is based on a rough
estimate of their past power consumption: If an actor was operating at a
highly energy-inefficient regime it will end up requesting more power
than another actor with the same load but more energy-efficient
behavior.

This can be tweaked by changing the weight of an actor (unfortunately
not in a real-time by kernel). We usually setup them once, in DT.
So, it's possible to set different weight for the LITTLE cores (which
are more energy-efficient) and the big cores (in a good way or bad).


Right, we do mix load (busy time for either cpufreq and devfreq devices
AFAIR) and current state (freq) into one single power value.

The IPA power allocator is therefore ineffective at improving
the energy efficiency of an agent beyond its past behavior --
Furthermore it seems to *rely* on individual agents being somewhat
energetically responsible in order for its power allocation result to be
anywhere close to optimal.  But improving the energy efficiency of an
agent seems useful in its own right, whether IPA is used to balance
power across agents or not.  That's precisely the purpose of this
series.

I don't fully agree here, i.e. in a properly setup platform we promote
more energy-efficient LITTLE cores when there is a limited power budget. That would cause capping on big cores and scheduler should see it.
There are some limitations in the IPA, but the requirements where
different back then, mainline code was different, etc.


If you look at the cpufreq cooling side of things, you'll see it also uses
the PM QoS interface. For instance, should IPA decide to cap the CPUs
(perhaps because say the GPU is the one drawing most of the juice), it'll
lead to a maximum frequency capping request.

So it does sound like that's what you want, only not just when thermally
constrained.

Capping the CPU frequency from random device drivers is highly
problematic, because the CPU is a shared resource which a number of
different concurrent applications might be using beyond the GPU client.
The GPU driver has no visibility over its impact on the performance of
other applications.  And even in a single-task environment, in order to
behave as effectively as the present series the GPU driver would need to
monitor the utilization of *all* CPUs in the system and place a
frequency constraint on each one of them (since there is the potential
of the task scheduler migrating the process from one CPU to another
without notice).  Furthermore these frequency constraints would need to
be updated at high frequency in order to avoid performance degradation
whenever the balance of load between CPU and IO device fluctuates.

The present series attempts to remove the burden of computing frequency
constraints out of individual device drivers into the CPUFREQ governor.
Instead the device driver provides a response latency constraint when it
encounters a bottleneck, which can be more easily derived from hardware
and protocol characteristics than a CPU frequency.  PM QoS aggregates
the response latency constraints provided by all applications and gives
CPUFREQ a single response latency target compatible with all of them (so
a device driver specifying a high latency target won't lead to
performance degradation in a concurrent application with lower latency
constraints).  The CPUFREQ governor then computes frequency constraints
for each CPU core that minimize energy usage without limiting
throughput, based on the results obtained from CPU performance counters,
while guaranteeing that a discontinuous transition in CPU utilization
leads to a proportional transition in the CPU frequency before the
specified response latency has elapsed.

Right, I think I see your point there. I'm thinking the 'actual' IPA gurus
(Lukasz or even Javi) may want to have a look at this.


This patch set AFAIU has different goals than IPA or any other thermal
governor.

I don't know the details of this Intel platform and the mechanisms
which are there for thermal and power budget, so I might be wrong in
some points (correct me where needed).

Main differences comparing to IPA in regards the platform:
- the series works on a platform which does not actually control the
frequency (AFAIK Intel freq can be changed by FW due to any reason).
IPA has been designed for platform which has full control over the
frequency.
- It does not work on Heterogeneous CPUs.
IPA is aware of big, LITTLE or even a different tracks used
- this patch set ignores the temperature probably assuming it is done
by something else (FW or thermal governor).
IPA has the PID built on top of temp sensor and must control it.

Different platforms, different behaviors, different requirements.
I agree IPA has to catch up with the new mainline solutions, though.

Regards,
Lukasz

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