742 строки
27 KiB
ReStructuredText
742 строки
27 KiB
ReStructuredText
.. SPDX-License-Identifier: GPL-2.0
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====================
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Utilization Clamping
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====================
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1. Introduction
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===============
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Utilization clamping, also known as util clamp or uclamp, is a scheduler
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feature that allows user space to help in managing the performance requirement
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of tasks. It was introduced in v5.3 release. The CGroup support was merged in
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v5.4.
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Uclamp is a hinting mechanism that allows the scheduler to understand the
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performance requirements and restrictions of the tasks, thus it helps the
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scheduler to make a better decision. And when schedutil cpufreq governor is
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used, util clamp will influence the CPU frequency selection as well.
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Since the scheduler and schedutil are both driven by PELT (util_avg) signals,
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util clamp acts on that to achieve its goal by clamping the signal to a certain
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point; hence the name. That is, by clamping utilization we are making the
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system run at a certain performance point.
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The right way to view util clamp is as a mechanism to make request or hint on
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performance constraints. It consists of two tunables:
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* UCLAMP_MIN, which sets the lower bound.
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* UCLAMP_MAX, which sets the upper bound.
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These two bounds will ensure a task will operate within this performance range
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of the system. UCLAMP_MIN implies boosting a task, while UCLAMP_MAX implies
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capping a task.
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One can tell the system (scheduler) that some tasks require a minimum
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performance point to operate at to deliver the desired user experience. Or one
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can tell the system that some tasks should be restricted from consuming too
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much resources and should not go above a specific performance point. Viewing
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the uclamp values as performance points rather than utilization is a better
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abstraction from user space point of view.
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As an example, a game can use util clamp to form a feedback loop with its
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perceived Frames Per Second (FPS). It can dynamically increase the minimum
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performance point required by its display pipeline to ensure no frame is
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dropped. It can also dynamically 'prime' up these tasks if it knows in the
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coming few hundred milliseconds a computationally intensive scene is about to
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happen.
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On mobile hardware where the capability of the devices varies a lot, this
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dynamic feedback loop offers a great flexibility to ensure best user experience
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given the capabilities of any system.
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Of course a static configuration is possible too. The exact usage will depend
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on the system, application and the desired outcome.
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Another example is in Android where tasks are classified as background,
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foreground, top-app, etc. Util clamp can be used to constrain how much
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resources background tasks are consuming by capping the performance point they
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can run at. This constraint helps reserve resources for important tasks, like
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the ones belonging to the currently active app (top-app group). Beside this
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helps in limiting how much power they consume. This can be more obvious in
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heterogeneous systems (e.g. Arm big.LITTLE); the constraint will help bias the
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background tasks to stay on the little cores which will ensure that:
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1. The big cores are free to run top-app tasks immediately. top-app
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tasks are the tasks the user is currently interacting with, hence
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the most important tasks in the system.
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2. They don't run on a power hungry core and drain battery even if they
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are CPU intensive tasks.
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.. note::
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**little cores**:
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CPUs with capacity < 1024
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**big cores**:
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CPUs with capacity = 1024
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By making these uclamp performance requests, or rather hints, user space can
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ensure system resources are used optimally to deliver the best possible user
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experience.
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Another use case is to help with **overcoming the ramp up latency inherit in
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how scheduler utilization signal is calculated**.
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On the other hand, a busy task for instance that requires to run at maximum
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performance point will suffer a delay of ~200ms (PELT HALFIFE = 32ms) for the
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scheduler to realize that. This is known to affect workloads like gaming on
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mobile devices where frames will drop due to slow response time to select the
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higher frequency required for the tasks to finish their work in time. Setting
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UCLAMP_MIN=1024 will ensure such tasks will always see the highest performance
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level when they start running.
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The overall visible effect goes beyond better perceived user
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experience/performance and stretches to help achieve a better overall
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performance/watt if used effectively.
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User space can form a feedback loop with the thermal subsystem too to ensure
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the device doesn't heat up to the point where it will throttle.
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Both SCHED_NORMAL/OTHER and SCHED_FIFO/RR honour uclamp requests/hints.
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In the SCHED_FIFO/RR case, uclamp gives the option to run RT tasks at any
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performance point rather than being tied to MAX frequency all the time. Which
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can be useful on general purpose systems that run on battery powered devices.
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Note that by design RT tasks don't have per-task PELT signal and must always
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run at a constant frequency to combat undeterministic DVFS rampup delays.
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Note that using schedutil always implies a single delay to modify the frequency
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when an RT task wakes up. This cost is unchanged by using uclamp. Uclamp only
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helps picking what frequency to request instead of schedutil always requesting
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MAX for all RT tasks.
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See :ref:`section 3.4 <uclamp-default-values>` for default values and
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:ref:`3.4.1 <sched-util-clamp-min-rt-default>` on how to change RT tasks
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default value.
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2. Design
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=========
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Util clamp is a property of every task in the system. It sets the boundaries of
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its utilization signal; acting as a bias mechanism that influences certain
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decisions within the scheduler.
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The actual utilization signal of a task is never clamped in reality. If you
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inspect PELT signals at any point of time you should continue to see them as
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they are intact. Clamping happens only when needed, e.g: when a task wakes up
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and the scheduler needs to select a suitable CPU for it to run on.
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Since the goal of util clamp is to allow requesting a minimum and maximum
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performance point for a task to run on, it must be able to influence the
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frequency selection as well as task placement to be most effective. Both of
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which have implications on the utilization value at CPU runqueue (rq for short)
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level, which brings us to the main design challenge.
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When a task wakes up on an rq, the utilization signal of the rq will be
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affected by the uclamp settings of all the tasks enqueued on it. For example if
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a task requests to run at UTIL_MIN = 512, then the util signal of the rq needs
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to respect to this request as well as all other requests from all of the
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enqueued tasks.
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To be able to aggregate the util clamp value of all the tasks attached to the
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rq, uclamp must do some housekeeping at every enqueue/dequeue, which is the
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scheduler hot path. Hence care must be taken since any slow down will have
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significant impact on a lot of use cases and could hinder its usability in
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practice.
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The way this is handled is by dividing the utilization range into buckets
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(struct uclamp_bucket) which allows us to reduce the search space from every
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task on the rq to only a subset of tasks on the top-most bucket.
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When a task is enqueued, the counter in the matching bucket is incremented,
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and on dequeue it is decremented. This makes keeping track of the effective
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uclamp value at rq level a lot easier.
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As tasks are enqueued and dequeued, we keep track of the current effective
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uclamp value of the rq. See :ref:`section 2.1 <uclamp-buckets>` for details on
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how this works.
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Later at any path that wants to identify the effective uclamp value of the rq,
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it will simply need to read this effective uclamp value of the rq at that exact
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moment of time it needs to take a decision.
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For task placement case, only Energy Aware and Capacity Aware Scheduling
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(EAS/CAS) make use of uclamp for now, which implies that it is applied on
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heterogeneous systems only.
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When a task wakes up, the scheduler will look at the current effective uclamp
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value of every rq and compare it with the potential new value if the task were
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to be enqueued there. Favoring the rq that will end up with the most energy
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efficient combination.
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Similarly in schedutil, when it needs to make a frequency update it will look
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at the current effective uclamp value of the rq which is influenced by the set
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of tasks currently enqueued there and select the appropriate frequency that
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will satisfy constraints from requests.
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Other paths like setting overutilization state (which effectively disables EAS)
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make use of uclamp as well. Such cases are considered necessary housekeeping to
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allow the 2 main use cases above and will not be covered in detail here as they
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could change with implementation details.
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.. _uclamp-buckets:
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2.1. Buckets
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------------
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::
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[struct rq]
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(bottom) (top)
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0 1024
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+-----------+-----------+-----------+---- ----+-----------+
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| Bucket 0 | Bucket 1 | Bucket 2 | ... | Bucket N |
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+-----------+-----------+-----------+---- ----+-----------+
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: : :
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+- p0 +- p3 +- p4
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: :
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+- p1 +- p5
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:
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+- p2
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.. note::
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The diagram above is an illustration rather than a true depiction of the
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internal data structure.
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To reduce the search space when trying to decide the effective uclamp value of
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an rq as tasks are enqueued/dequeued, the whole utilization range is divided
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into N buckets where N is configured at compile time by setting
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CONFIG_UCLAMP_BUCKETS_COUNT. By default it is set to 5.
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The rq has a bucket for each uclamp_id tunables: [UCLAMP_MIN, UCLAMP_MAX].
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The range of each bucket is 1024/N. For example, for the default value of
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5 there will be 5 buckets, each of which will cover the following range:
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::
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DELTA = round_closest(1024/5) = 204.8 = 205
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Bucket 0: [0:204]
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Bucket 1: [205:409]
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Bucket 2: [410:614]
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Bucket 3: [615:819]
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Bucket 4: [820:1024]
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When a task p with following tunable parameters
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::
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p->uclamp[UCLAMP_MIN] = 300
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p->uclamp[UCLAMP_MAX] = 1024
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is enqueued into the rq, bucket 1 will be incremented for UCLAMP_MIN and bucket
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4 will be incremented for UCLAMP_MAX to reflect the fact the rq has a task in
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this range.
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The rq then keeps track of its current effective uclamp value for each
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uclamp_id.
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When a task p is enqueued, the rq value changes to:
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::
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// update bucket logic goes here
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rq->uclamp[UCLAMP_MIN] = max(rq->uclamp[UCLAMP_MIN], p->uclamp[UCLAMP_MIN])
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// repeat for UCLAMP_MAX
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Similarly, when p is dequeued the rq value changes to:
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::
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// update bucket logic goes here
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rq->uclamp[UCLAMP_MIN] = search_top_bucket_for_highest_value()
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// repeat for UCLAMP_MAX
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When all buckets are empty, the rq uclamp values are reset to system defaults.
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See :ref:`section 3.4 <uclamp-default-values>` for details on default values.
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2.2. Max aggregation
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--------------------
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Util clamp is tuned to honour the request for the task that requires the
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highest performance point.
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When multiple tasks are attached to the same rq, then util clamp must make sure
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the task that needs the highest performance point gets it even if there's
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another task that doesn't need it or is disallowed from reaching this point.
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For example, if there are multiple tasks attached to an rq with the following
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values:
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::
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p0->uclamp[UCLAMP_MIN] = 300
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p0->uclamp[UCLAMP_MAX] = 900
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p1->uclamp[UCLAMP_MIN] = 500
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p1->uclamp[UCLAMP_MAX] = 500
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then assuming both p0 and p1 are enqueued to the same rq, both UCLAMP_MIN
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and UCLAMP_MAX become:
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::
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rq->uclamp[UCLAMP_MIN] = max(300, 500) = 500
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rq->uclamp[UCLAMP_MAX] = max(900, 500) = 900
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As we shall see in :ref:`section 5.1 <uclamp-capping-fail>`, this max
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aggregation is the cause of one of limitations when using util clamp, in
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particular for UCLAMP_MAX hint when user space would like to save power.
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2.3. Hierarchical aggregation
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-----------------------------
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As stated earlier, util clamp is a property of every task in the system. But
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the actual applied (effective) value can be influenced by more than just the
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request made by the task or another actor on its behalf (middleware library).
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The effective util clamp value of any task is restricted as follows:
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1. By the uclamp settings defined by the cgroup CPU controller it is attached
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to, if any.
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2. The restricted value in (1) is then further restricted by the system wide
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uclamp settings.
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:ref:`Section 3 <uclamp-interfaces>` discusses the interfaces and will expand
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further on that.
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For now suffice to say that if a task makes a request, its actual effective
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value will have to adhere to some restrictions imposed by cgroup and system
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wide settings.
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The system will still accept the request even if effectively will be beyond the
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constraints, but as soon as the task moves to a different cgroup or a sysadmin
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modifies the system settings, the request will be satisfied only if it is
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within new constraints.
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In other words, this aggregation will not cause an error when a task changes
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its uclamp values, but rather the system may not be able to satisfy requests
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based on those factors.
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2.4. Range
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----------
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Uclamp performance request has the range of 0 to 1024 inclusive.
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For cgroup interface percentage is used (that is 0 to 100 inclusive).
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Just like other cgroup interfaces, you can use 'max' instead of 100.
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.. _uclamp-interfaces:
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3. Interfaces
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=============
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3.1. Per task interface
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-----------------------
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sched_setattr() syscall was extended to accept two new fields:
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* sched_util_min: requests the minimum performance point the system should run
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at when this task is running. Or lower performance bound.
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* sched_util_max: requests the maximum performance point the system should run
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at when this task is running. Or upper performance bound.
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For example, the following scenario have 40% to 80% utilization constraints:
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::
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attr->sched_util_min = 40% * 1024;
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attr->sched_util_max = 80% * 1024;
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When task @p is running, **the scheduler should try its best to ensure it
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starts at 40% performance level**. If the task runs for a long enough time so
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that its actual utilization goes above 80%, the utilization, or performance
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level, will be capped.
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The special value -1 is used to reset the uclamp settings to the system
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default.
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Note that resetting the uclamp value to system default using -1 is not the same
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as manually setting uclamp value to system default. This distinction is
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important because as we shall see in system interfaces, the default value for
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RT could be changed. SCHED_NORMAL/OTHER might gain similar knobs too in the
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future.
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3.2. cgroup interface
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---------------------
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There are two uclamp related values in the CPU cgroup controller:
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* cpu.uclamp.min
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* cpu.uclamp.max
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When a task is attached to a CPU controller, its uclamp values will be impacted
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as follows:
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* cpu.uclamp.min is a protection as described in :ref:`section 3-3 of cgroup
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v2 documentation <cgroupv2-protections-distributor>`.
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If a task uclamp_min value is lower than cpu.uclamp.min, then the task will
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inherit the cgroup cpu.uclamp.min value.
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In a cgroup hierarchy, effective cpu.uclamp.min is the max of (child,
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parent).
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* cpu.uclamp.max is a limit as described in :ref:`section 3-2 of cgroup v2
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documentation <cgroupv2-limits-distributor>`.
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If a task uclamp_max value is higher than cpu.uclamp.max, then the task will
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inherit the cgroup cpu.uclamp.max value.
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In a cgroup hierarchy, effective cpu.uclamp.max is the min of (child,
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parent).
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For example, given following parameters:
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::
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p0->uclamp[UCLAMP_MIN] = // system default;
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p0->uclamp[UCLAMP_MAX] = // system default;
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p1->uclamp[UCLAMP_MIN] = 40% * 1024;
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p1->uclamp[UCLAMP_MAX] = 50% * 1024;
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cgroup0->cpu.uclamp.min = 20% * 1024;
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cgroup0->cpu.uclamp.max = 60% * 1024;
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cgroup1->cpu.uclamp.min = 60% * 1024;
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cgroup1->cpu.uclamp.max = 100% * 1024;
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when p0 and p1 are attached to cgroup0, the values become:
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::
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p0->uclamp[UCLAMP_MIN] = cgroup0->cpu.uclamp.min = 20% * 1024;
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p0->uclamp[UCLAMP_MAX] = cgroup0->cpu.uclamp.max = 60% * 1024;
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p1->uclamp[UCLAMP_MIN] = 40% * 1024; // intact
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p1->uclamp[UCLAMP_MAX] = 50% * 1024; // intact
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when p0 and p1 are attached to cgroup1, these instead become:
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::
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p0->uclamp[UCLAMP_MIN] = cgroup1->cpu.uclamp.min = 60% * 1024;
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p0->uclamp[UCLAMP_MAX] = cgroup1->cpu.uclamp.max = 100% * 1024;
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p1->uclamp[UCLAMP_MIN] = cgroup1->cpu.uclamp.min = 60% * 1024;
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p1->uclamp[UCLAMP_MAX] = 50% * 1024; // intact
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Note that cgroup interfaces allows cpu.uclamp.max value to be lower than
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cpu.uclamp.min. Other interfaces don't allow that.
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3.3. System interface
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---------------------
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3.3.1 sched_util_clamp_min
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--------------------------
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System wide limit of allowed UCLAMP_MIN range. By default it is set to 1024,
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which means that permitted effective UCLAMP_MIN range for tasks is [0:1024].
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By changing it to 512 for example the range reduces to [0:512]. This is useful
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to restrict how much boosting tasks are allowed to acquire.
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Requests from tasks to go above this knob value will still succeed, but
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they won't be satisfied until it is more than p->uclamp[UCLAMP_MIN].
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The value must be smaller than or equal to sched_util_clamp_max.
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3.3.2 sched_util_clamp_max
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--------------------------
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System wide limit of allowed UCLAMP_MAX range. By default it is set to 1024,
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which means that permitted effective UCLAMP_MAX range for tasks is [0:1024].
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By changing it to 512 for example the effective allowed range reduces to
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[0:512]. This means is that no task can run above 512, which implies that all
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rqs are restricted too. IOW, the whole system is capped to half its performance
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capacity.
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This is useful to restrict the overall maximum performance point of the system.
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For example, it can be handy to limit performance when running low on battery
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or when the system wants to limit access to more energy hungry performance
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levels when it's in idle state or screen is off.
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Requests from tasks to go above this knob value will still succeed, but they
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won't be satisfied until it is more than p->uclamp[UCLAMP_MAX].
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The value must be greater than or equal to sched_util_clamp_min.
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.. _uclamp-default-values:
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3.4. Default values
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-------------------
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By default all SCHED_NORMAL/SCHED_OTHER tasks are initialized to:
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::
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p_fair->uclamp[UCLAMP_MIN] = 0
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p_fair->uclamp[UCLAMP_MAX] = 1024
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That is, by default they're boosted to run at the maximum performance point of
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changed at boot or runtime. No argument was made yet as to why we should
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provide this, but can be added in the future.
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For SCHED_FIFO/SCHED_RR tasks:
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::
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p_rt->uclamp[UCLAMP_MIN] = 1024
|
|
p_rt->uclamp[UCLAMP_MAX] = 1024
|
|
|
|
That is by default they're boosted to run at the maximum performance point of
|
|
the system which retains the historical behavior of the RT tasks.
|
|
|
|
RT tasks default uclamp_min value can be modified at boot or runtime via
|
|
sysctl. See below section.
|
|
|
|
.. _sched-util-clamp-min-rt-default:
|
|
|
|
3.4.1 sched_util_clamp_min_rt_default
|
|
-------------------------------------
|
|
|
|
Running RT tasks at maximum performance point is expensive on battery powered
|
|
devices and not necessary. To allow system developer to offer good performance
|
|
guarantees for these tasks without pushing it all the way to maximum
|
|
performance point, this sysctl knob allows tuning the best boost value to
|
|
address the system requirement without burning power running at maximum
|
|
performance point all the time.
|
|
|
|
Application developer are encouraged to use the per task util clamp interface
|
|
to ensure they are performance and power aware. Ideally this knob should be set
|
|
to 0 by system designers and leave the task of managing performance
|
|
requirements to the apps.
|
|
|
|
4. How to use util clamp
|
|
========================
|
|
|
|
Util clamp promotes the concept of user space assisted power and performance
|
|
management. At the scheduler level there is no info required to make the best
|
|
decision. However, with util clamp user space can hint to the scheduler to make
|
|
better decision about task placement and frequency selection.
|
|
|
|
Best results are achieved by not making any assumptions about the system the
|
|
application is running on and to use it in conjunction with a feedback loop to
|
|
dynamically monitor and adjust. Ultimately this will allow for a better user
|
|
experience at a better perf/watt.
|
|
|
|
For some systems and use cases, static setup will help to achieve good results.
|
|
Portability will be a problem in this case. How much work one can do at 100,
|
|
200 or 1024 is different for each system. Unless there's a specific target
|
|
system, static setup should be avoided.
|
|
|
|
There are enough possibilities to create a whole framework based on util clamp
|
|
or self contained app that makes use of it directly.
|
|
|
|
4.1. Boost important and DVFS-latency-sensitive tasks
|
|
-----------------------------------------------------
|
|
|
|
A GUI task might not be busy to warrant driving the frequency high when it
|
|
wakes up. However, it requires to finish its work within a specific time window
|
|
to deliver the desired user experience. The right frequency it requires at
|
|
wakeup will be system dependent. On some underpowered systems it will be high,
|
|
on other overpowered ones it will be low or 0.
|
|
|
|
This task can increase its UCLAMP_MIN value every time it misses the deadline
|
|
to ensure on next wake up it runs at a higher performance point. It should try
|
|
to approach the lowest UCLAMP_MIN value that allows to meet its deadline on any
|
|
particular system to achieve the best possible perf/watt for that system.
|
|
|
|
On heterogeneous systems, it might be important for this task to run on
|
|
a faster CPU.
|
|
|
|
**Generally it is advised to perceive the input as performance level or point
|
|
which will imply both task placement and frequency selection**.
|
|
|
|
4.2. Cap background tasks
|
|
-------------------------
|
|
|
|
Like explained for Android case in the introduction. Any app can lower
|
|
UCLAMP_MAX for some background tasks that don't care about performance but
|
|
could end up being busy and consume unnecessary system resources on the system.
|
|
|
|
4.3. Powersave mode
|
|
-------------------
|
|
|
|
sched_util_clamp_max system wide interface can be used to limit all tasks from
|
|
operating at the higher performance points which are usually energy
|
|
inefficient.
|
|
|
|
This is not unique to uclamp as one can achieve the same by reducing max
|
|
frequency of the cpufreq governor. It can be considered a more convenient
|
|
alternative interface.
|
|
|
|
4.4. Per-app performance restriction
|
|
------------------------------------
|
|
|
|
Middleware/Utility can provide the user an option to set UCLAMP_MIN/MAX for an
|
|
app every time it is executed to guarantee a minimum performance point and/or
|
|
limit it from draining system power at the cost of reduced performance for
|
|
these apps.
|
|
|
|
If you want to prevent your laptop from heating up while on the go from
|
|
compiling the kernel and happy to sacrifice performance to save power, but
|
|
still would like to keep your browser performance intact, uclamp makes it
|
|
possible.
|
|
|
|
5. Limitations
|
|
==============
|
|
|
|
.. _uclamp-capping-fail:
|
|
|
|
5.1. Capping frequency with uclamp_max fails under certain conditions
|
|
---------------------------------------------------------------------
|
|
|
|
If task p0 is capped to run at 512:
|
|
|
|
::
|
|
|
|
p0->uclamp[UCLAMP_MAX] = 512
|
|
|
|
and it shares the rq with p1 which is free to run at any performance point:
|
|
|
|
::
|
|
|
|
p1->uclamp[UCLAMP_MAX] = 1024
|
|
|
|
then due to max aggregation the rq will be allowed to reach max performance
|
|
point:
|
|
|
|
::
|
|
|
|
rq->uclamp[UCLAMP_MAX] = max(512, 1024) = 1024
|
|
|
|
Assuming both p0 and p1 have UCLAMP_MIN = 0, then the frequency selection for
|
|
the rq will depend on the actual utilization value of the tasks.
|
|
|
|
If p1 is a small task but p0 is a CPU intensive task, then due to the fact that
|
|
both are running at the same rq, p1 will cause the frequency capping to be left
|
|
from the rq although p1, which is allowed to run at any performance point,
|
|
doesn't actually need to run at that frequency.
|
|
|
|
5.2. UCLAMP_MAX can break PELT (util_avg) signal
|
|
------------------------------------------------
|
|
|
|
PELT assumes that frequency will always increase as the signals grow to ensure
|
|
there's always some idle time on the CPU. But with UCLAMP_MAX, this frequency
|
|
increase will be prevented which can lead to no idle time in some
|
|
circumstances. When there's no idle time, a task will stuck in a busy loop,
|
|
which would result in util_avg being 1024.
|
|
|
|
Combing with issue described below, this can lead to unwanted frequency spikes
|
|
when severely capped tasks share the rq with a small non capped task.
|
|
|
|
As an example if task p, which have:
|
|
|
|
::
|
|
|
|
p0->util_avg = 300
|
|
p0->uclamp[UCLAMP_MAX] = 0
|
|
|
|
wakes up on an idle CPU, then it will run at min frequency (Fmin) this
|
|
CPU is capable of. The max CPU frequency (Fmax) matters here as well,
|
|
since it designates the shortest computational time to finish the task's
|
|
work on this CPU.
|
|
|
|
::
|
|
|
|
rq->uclamp[UCLAMP_MAX] = 0
|
|
|
|
If the ratio of Fmax/Fmin is 3, then maximum value will be:
|
|
|
|
::
|
|
|
|
300 * (Fmax/Fmin) = 900
|
|
|
|
which indicates the CPU will still see idle time since 900 is < 1024. The
|
|
_actual_ util_avg will not be 900 though, but somewhere between 300 and 900. As
|
|
long as there's idle time, p->util_avg updates will be off by a some margin,
|
|
but not proportional to Fmax/Fmin.
|
|
|
|
::
|
|
|
|
p0->util_avg = 300 + small_error
|
|
|
|
Now if the ratio of Fmax/Fmin is 4, the maximum value becomes:
|
|
|
|
::
|
|
|
|
300 * (Fmax/Fmin) = 1200
|
|
|
|
which is higher than 1024 and indicates that the CPU has no idle time. When
|
|
this happens, then the _actual_ util_avg will become:
|
|
|
|
::
|
|
|
|
p0->util_avg = 1024
|
|
|
|
If task p1 wakes up on this CPU, which have:
|
|
|
|
::
|
|
|
|
p1->util_avg = 200
|
|
p1->uclamp[UCLAMP_MAX] = 1024
|
|
|
|
then the effective UCLAMP_MAX for the CPU will be 1024 according to max
|
|
aggregation rule. But since the capped p0 task was running and throttled
|
|
severely, then the rq->util_avg will be:
|
|
|
|
::
|
|
|
|
p0->util_avg = 1024
|
|
p1->util_avg = 200
|
|
|
|
rq->util_avg = 1024
|
|
rq->uclamp[UCLAMP_MAX] = 1024
|
|
|
|
Hence lead to a frequency spike since if p0 wasn't throttled we should get:
|
|
|
|
::
|
|
|
|
p0->util_avg = 300
|
|
p1->util_avg = 200
|
|
|
|
rq->util_avg = 500
|
|
|
|
and run somewhere near mid performance point of that CPU, not the Fmax we get.
|
|
|
|
5.3. Schedutil response time issues
|
|
-----------------------------------
|
|
|
|
schedutil has three limitations:
|
|
|
|
1. Hardware takes non-zero time to respond to any frequency change
|
|
request. On some platforms can be in the order of few ms.
|
|
2. Non fast-switch systems require a worker deadline thread to wake up
|
|
and perform the frequency change, which adds measurable overhead.
|
|
3. schedutil rate_limit_us drops any requests during this rate_limit_us
|
|
window.
|
|
|
|
If a relatively small task is doing critical job and requires a certain
|
|
performance point when it wakes up and starts running, then all these
|
|
limitations will prevent it from getting what it wants in the time scale it
|
|
expects.
|
|
|
|
This limitation is not only impactful when using uclamp, but will be more
|
|
prevalent as we no longer gradually ramp up or down. We could easily be
|
|
jumping between frequencies depending on the order tasks wake up, and their
|
|
respective uclamp values.
|
|
|
|
We regard that as a limitation of the capabilities of the underlying system
|
|
itself.
|
|
|
|
There is room to improve the behavior of schedutil rate_limit_us, but not much
|
|
to be done for 1 or 2. They are considered hard limitations of the system.
|