@@ -619,6 +619,8 @@ process migrations.
and is an example of this type.
+.. _cgroupv2-limits-distributor:
+
Limits
------
@@ -635,6 +637,7 @@ process migrations.
"io.max" limits the maximum BPS and/or IOPS that a cgroup can consume
on an IO device and is an example of this type.
+.. _cgroupv2-protections-distributor:
Protections
-----------
@@ -15,6 +15,7 @@ Linux Scheduler
sched-capacity
sched-energy
schedutil
+ sched-util-clamp
sched-nice-design
sched-rt-group
sched-stats
new file mode 100644
@@ -0,0 +1,741 @@
+.. SPDX-License-Identifier: GPL-2.0
+
+====================
+Utilization Clamping
+====================
+
+1. Introduction
+===============
+
+Utilization clamping, also known as util clamp or uclamp, is a scheduler
+feature that allows user space to help in managing the performance requirement
+of tasks. It was introduced in v5.3 release. The CGroup support was merged in
+v5.4.
+
+Uclamp is a hinting mechanism that allows the scheduler to understand the
+performance requirements and restrictions of the tasks, thus it helps the
+scheduler to make a better decision. And when schedutil cpufreq governor is
+used, util clamp will influence the CPU frequency selection as well.
+
+Since the scheduler and schedutil are both driven by PELT (util_avg) signals,
+util clamp acts on that to achieve its goal by clamping the signal to a certain
+point; hence the name. That is, by clamping utilization we are making the
+system run at a certain performance point.
+
+The right way to view util clamp is as a mechanism to make request or hint on
+performance constraints. It consists of two tunables:
+
+ * UCLAMP_MIN, which sets the lower bound.
+ * UCLAMP_MAX, which sets the upper bound.
+
+These two bounds will ensure a task will operate within this performance range
+of the system. UCLAMP_MIN implies boosting a task, while UCLAMP_MAX implies
+capping a task.
+
+One can tell the system (scheduler) that some tasks require a minimum
+performance point to operate at to deliver the desired user experience. Or one
+can tell the system that some tasks should be restricted from consuming too
+much resources and should not go above a specific performance point. Viewing
+the uclamp values as performance points rather than utilization is a better
+abstraction from user space point of view.
+
+As an example, a game can use util clamp to form a feedback loop with its
+perceived Frames Per Second (FPS). It can dynamically increase the minimum
+performance point required by its display pipeline to ensure no frame is
+dropped. It can also dynamically 'prime' up these tasks if it knows in the
+coming few hundred milliseconds a computationally intensive scene is about to
+happen.
+
+On mobile hardware where the capability of the devices varies a lot, this
+dynamic feedback loop offers a great flexibility to ensure best user experience
+given the capabilities of any system.
+
+Of course a static configuration is possible too. The exact usage will depend
+on the system, application and the desired outcome.
+
+Another example is in Android where tasks are classified as background,
+foreground, top-app, etc. Util clamp can be used to constrain how much
+resources background tasks are consuming by capping the performance point they
+can run at. This constraint helps reserve resources for important tasks, like
+the ones belonging to the currently active app (top-app group). Beside this
+helps in limiting how much power they consume. This can be more obvious in
+heterogeneous systems (e.g. Arm big.LITTLE); the constraint will help bias the
+background tasks to stay on the little cores which will ensure that:
+
+ 1. The big cores are free to run top-app tasks immediately. top-app
+ tasks are the tasks the user is currently interacting with, hence
+ the most important tasks in the system.
+ 2. They don't run on a power hungry core and drain battery even if they
+ are CPU intensive tasks.
+
+.. note::
+ **little cores**:
+ CPUs with capacity < 1024
+
+ **big cores**:
+ CPUs with capacity = 1024
+
+By making these uclamp performance requests, or rather hints, user space can
+ensure system resources are used optimally to deliver the best possible user
+experience.
+
+Another use case is to help with **overcoming the ramp up latency inherit in
+how scheduler utilization signal is calculated**.
+
+On the other hand, a busy task for instance that requires to run at maximum
+performance point will suffer a delay of ~200ms (PELT HALFIFE = 32ms) for the
+scheduler to realize that. This is known to affect workloads like gaming on
+mobile devices where frames will drop due to slow response time to select the
+higher frequency required for the tasks to finish their work in time. Setting
+UCLAMP_MIN=1024 will ensure such tasks will always see the highest performance
+level when they start running.
+
+The overall visible effect goes beyond better perceived user
+experience/performance and stretches to help achieve a better overall
+performance/watt if used effectively.
+
+User space can form a feedback loop with the thermal subsystem too to ensure
+the device doesn't heat up to the point where it will throttle.
+
+Both SCHED_NORMAL/OTHER and SCHED_FIFO/RR honour uclamp requests/hints.
+
+In the SCHED_FIFO/RR case, uclamp gives the option to run RT tasks at any
+performance point rather than being tied to MAX frequency all the time. Which
+can be useful on general purpose systems that run on battery powered devices.
+
+Note that by design RT tasks don't have per-task PELT signal and must always
+run at a constant frequency to combat undeterministic DVFS rampup delays.
+
+Note that using schedutil always implies a single delay to modify the frequency
+when an RT task wakes up. This cost is unchanged by using uclamp. Uclamp only
+helps picking what frequency to request instead of schedutil always requesting
+MAX for all RT tasks.
+
+See :ref:`section 3.4 <uclamp-default-values>` for default values and
+:ref:`3.4.1 <sched-util-clamp-min-rt-default>` on how to change RT tasks
+default value.
+
+2. Design
+=========
+
+Util clamp is a property of every task in the system. It sets the boundaries of
+its utilization signal; acting as a bias mechanism that influences certain
+decisions within the scheduler.
+
+The actual utilization signal of a task is never clamped in reality. If you
+inspect PELT signals at any point of time you should continue to see them as
+they are intact. Clamping happens only when needed, e.g: when a task wakes up
+and the scheduler needs to select a suitable CPU for it to run on.
+
+Since the goal of util clamp is to allow requesting a minimum and maximum
+performance point for a task to run on, it must be able to influence the
+frequency selection as well as task placement to be most effective. Both of
+which have implications on the utilization value at CPU runqueue (rq for short)
+level, which brings us to the main design challenge.
+
+When a task wakes up on an rq, the utilization signal of the rq will be
+affected by the uclamp settings of all the tasks enqueued on it. For example if
+a task requests to run at UTIL_MIN = 512, then the util signal of the rq needs
+to respect to this request as well as all other requests from all of the
+enqueued tasks.
+
+To be able to aggregate the util clamp value of all the tasks attached to the
+rq, uclamp must do some housekeeping at every enqueue/dequeue, which is the
+scheduler hot path. Hence care must be taken since any slow down will have
+significant impact on a lot of use cases and could hinder its usability in
+practice.
+
+The way this is handled is by dividing the utilization range into buckets
+(struct uclamp_bucket) which allows us to reduce the search space from every
+task on the rq to only a subset of tasks on the top-most bucket.
+
+When a task is enqueued, the counter in the matching bucket is incremented,
+and on dequeue it is decremented. This makes keeping track of the effective
+uclamp value at rq level a lot easier.
+
+As tasks are enqueued and dequeued, we keep track of the current effective
+uclamp value of the rq. See :ref:`section 2.1 <uclamp-buckets>` for details on
+how this works.
+
+Later at any path that wants to identify the effective uclamp value of the rq,
+it will simply need to read this effective uclamp value of the rq at that exact
+moment of time it needs to take a decision.
+
+For task placement case, only Energy Aware and Capacity Aware Scheduling
+(EAS/CAS) make use of uclamp for now, which implies that it is applied on
+heterogeneous systems only.
+When a task wakes up, the scheduler will look at the current effective uclamp
+value of every rq and compare it with the potential new value if the task were
+to be enqueued there. Favoring the rq that will end up with the most energy
+efficient combination.
+
+Similarly in schedutil, when it needs to make a frequency update it will look
+at the current effective uclamp value of the rq which is influenced by the set
+of tasks currently enqueued there and select the appropriate frequency that
+will satisfy constraints from requests.
+
+Other paths like setting overutilization state (which effectively disables EAS)
+make use of uclamp as well. Such cases are considered necessary housekeeping to
+allow the 2 main use cases above and will not be covered in detail here as they
+could change with implementation details.
+
+.. _uclamp-buckets:
+
+2.1. Buckets
+------------
+
+::
+
+ [struct rq]
+
+ (bottom) (top)
+
+ 0 1024
+ | |
+ +-----------+-----------+-----------+---- ----+-----------+
+ | Bucket 0 | Bucket 1 | Bucket 2 | ... | Bucket N |
+ +-----------+-----------+-----------+---- ----+-----------+
+ : : :
+ +- p0 +- p3 +- p4
+ : :
+ +- p1 +- p5
+ :
+ +- p2
+
+
+.. note::
+ The diagram above is an illustration rather than a true depiction of the
+ internal data structure.
+
+To reduce the search space when trying to decide the effective uclamp value of
+an rq as tasks are enqueued/dequeued, the whole utilization range is divided
+into N buckets where N is configured at compile time by setting
+CONFIG_UCLAMP_BUCKETS_COUNT. By default it is set to 5.
+
+The rq has a bucket for each uclamp_id tunables: [UCLAMP_MIN, UCLAMP_MAX].
+
+The range of each bucket is 1024/N. For example, for the default value of
+5 there will be 5 buckets, each of which will cover the following range:
+
+::
+
+ DELTA = round_closest(1024/5) = 204.8 = 205
+
+ Bucket 0: [0:204]
+ Bucket 1: [205:409]
+ Bucket 2: [410:614]
+ Bucket 3: [615:819]
+ Bucket 4: [820:1024]
+
+When a task p with following tunable parameters
+
+::
+
+ p->uclamp[UCLAMP_MIN] = 300
+ p->uclamp[UCLAMP_MAX] = 1024
+
+is enqueued into the rq, bucket 1 will be incremented for UCLAMP_MIN and bucket
+4 will be incremented for UCLAMP_MAX to reflect the fact the rq has a task in
+this range.
+
+The rq then keeps track of its current effective uclamp value for each
+uclamp_id.
+
+When a task p is enqueued, the rq value changes to:
+
+::
+
+ // update bucket logic goes here
+ rq->uclamp[UCLAMP_MIN] = max(rq->uclamp[UCLAMP_MIN], p->uclamp[UCLAMP_MIN])
+ // repeat for UCLAMP_MAX
+
+Similarly, when p is dequeued the rq value changes to:
+
+::
+
+ // update bucket logic goes here
+ rq->uclamp[UCLAMP_MIN] = search_top_bucket_for_highest_value()
+ // repeat for UCLAMP_MAX
+
+When all buckets are empty, the rq uclamp values are reset to system defaults.
+See :ref:`section 3.4 <uclamp-default-values>` for details on default values.
+
+
+2.2. Max aggregation
+--------------------
+
+Util clamp is tuned to honour the request for the task that requires the
+highest performance point.
+
+When multiple tasks are attached to the same rq, then util clamp must make sure
+the task that needs the highest performance point gets it even if there's
+another task that doesn't need it or is disallowed from reaching this point.
+
+For example, if there are multiple tasks attached to an rq with the following
+values:
+
+::
+
+ p0->uclamp[UCLAMP_MIN] = 300
+ p0->uclamp[UCLAMP_MAX] = 900
+
+ p1->uclamp[UCLAMP_MIN] = 500
+ p1->uclamp[UCLAMP_MAX] = 500
+
+then assuming both p0 and p1 are enqueued to the same rq, both UCLAMP_MIN
+and UCLAMP_MAX become:
+
+::
+
+ rq->uclamp[UCLAMP_MIN] = max(300, 500) = 500
+ rq->uclamp[UCLAMP_MAX] = max(900, 500) = 900
+
+As we shall see in :ref:`section 5.1 <uclamp-capping-fail>`, this max
+aggregation is the cause of one of limitations when using util clamp, in
+particular for UCLAMP_MAX hint when user space would like to save power.
+
+2.3. Hierarchical aggregation
+-----------------------------
+
+As stated earlier, util clamp is a property of every task in the system. But
+the actual applied (effective) value can be influenced by more than just the
+request made by the task or another actor on its behalf (middleware library).
+
+The effective util clamp value of any task is restricted as follows:
+
+ 1. By the uclamp settings defined by the cgroup CPU controller it is attached
+ to, if any.
+ 2. The restricted value in (1) is then further restricted by the system wide
+ uclamp settings.
+
+:ref:`Section 3 <uclamp-interfaces>` discusses the interfaces and will expand
+further on that.
+
+For now suffice to say that if a task makes a request, its actual effective
+value will have to adhere to some restrictions imposed by cgroup and system
+wide settings.
+
+The system will still accept the request even if effectively will be beyond the
+constraints, but as soon as the task moves to a different cgroup or a sysadmin
+modifies the system settings, the request will be satisfied only if it is
+within new constraints.
+
+In other words, this aggregation will not cause an error when a task changes
+its uclamp values, but rather the system may not be able to satisfy requests
+based on those factors.
+
+2.4. Range
+----------
+
+Uclamp performance request has the range of 0 to 1024 inclusive.
+
+For cgroup interface percentage is used (that is 0 to 100 inclusive).
+Just like other cgroup interfaces, you can use 'max' instead of 100.
+
+.. _uclamp-interfaces:
+
+3. Interfaces
+=============
+
+3.1. Per task interface
+-----------------------
+
+sched_setattr() syscall was extended to accept two new fields:
+
+* sched_util_min: requests the minimum performance point the system should run
+ at when this task is running. Or lower performance bound.
+* sched_util_max: requests the maximum performance point the system should run
+ at when this task is running. Or upper performance bound.
+
+For example, the following scenario have 40% to 80% utilization constraints:
+
+::
+
+ attr->sched_util_min = 40% * 1024;
+ attr->sched_util_max = 80% * 1024;
+
+When task @p is running, **the scheduler should try its best to ensure it
+starts at 40% performance level**. If the task runs for a long enough time so
+that its actual utilization goes above 80%, the utilization, or performance
+level, will be capped.
+
+The special value -1 is used to reset the uclamp settings to the system
+default.
+
+Note that resetting the uclamp value to system default using -1 is not the same
+as manually setting uclamp value to system default. This distinction is
+important because as we shall see in system interfaces, the default value for
+RT could be changed. SCHED_NORMAL/OTHER might gain similar knobs too in the
+future.
+
+3.2. cgroup interface
+---------------------
+
+There are two uclamp related values in the CPU cgroup controller:
+
+* cpu.uclamp.min
+* cpu.uclamp.max
+
+When a task is attached to a CPU controller, its uclamp values will be impacted
+as follows:
+
+* cpu.uclamp.min is a protection as described in :ref:`section 3-3 of cgroup
+ v2 documentation <cgroupv2-protections-distributor>`.
+
+ If a task uclamp_min value is lower than cpu.uclamp.min, then the task will
+ inherit the cgroup cpu.uclamp.min value.
+
+ In a cgroup hierarchy, effective cpu.uclamp.min is the max of (child,
+ parent).
+
+* cpu.uclamp.max is a limit as described in :ref:`section 3-2 of cgroup v2
+ documentation <cgroupv2-limits-distributor>`.
+
+ If a task uclamp_max value is higher than cpu.uclamp.max, then the task will
+ inherit the cgroup cpu.uclamp.max value.
+
+ In a cgroup hierarchy, effective cpu.uclamp.max is the min of (child,
+ parent).
+
+For example, given following parameters:
+
+::
+
+ p0->uclamp[UCLAMP_MIN] = // system default;
+ p0->uclamp[UCLAMP_MAX] = // system default;
+
+ p1->uclamp[UCLAMP_MIN] = 40% * 1024;
+ p1->uclamp[UCLAMP_MAX] = 50% * 1024;
+
+ cgroup0->cpu.uclamp.min = 20% * 1024;
+ cgroup0->cpu.uclamp.max = 60% * 1024;
+
+ cgroup1->cpu.uclamp.min = 60% * 1024;
+ cgroup1->cpu.uclamp.max = 100% * 1024;
+
+when p0 and p1 are attached to cgroup0, the values become:
+
+::
+
+ p0->uclamp[UCLAMP_MIN] = cgroup0->cpu.uclamp.min = 20% * 1024;
+ p0->uclamp[UCLAMP_MAX] = cgroup0->cpu.uclamp.max = 60% * 1024;
+
+ p1->uclamp[UCLAMP_MIN] = 40% * 1024; // intact
+ p1->uclamp[UCLAMP_MAX] = 50% * 1024; // intact
+
+when p0 and p1 are attached to cgroup1, these instead become:
+
+::
+
+ p0->uclamp[UCLAMP_MIN] = cgroup1->cpu.uclamp.min = 60% * 1024;
+ p0->uclamp[UCLAMP_MAX] = cgroup1->cpu.uclamp.max = 100% * 1024;
+
+ p1->uclamp[UCLAMP_MIN] = cgroup1->cpu.uclamp.min = 60% * 1024;
+ p1->uclamp[UCLAMP_MAX] = 50% * 1024; // intact
+
+Note that cgroup interfaces allows cpu.uclamp.max value to be lower than
+cpu.uclamp.min. Other interfaces don't allow that.
+
+3.3. System interface
+---------------------
+
+3.3.1 sched_util_clamp_min
+--------------------------
+
+System wide limit of allowed UCLAMP_MIN range. By default it is set to 1024,
+which means that permitted effective UCLAMP_MIN range for tasks is [0:1024].
+By changing it to 512 for example the range reduces to [0:512]. This is useful
+to restrict how much boosting tasks are allowed to acquire.
+
+Requests from tasks to go above this knob value will still succeed, but
+they won't be satisfied until it is more than p->uclamp[UCLAMP_MIN].
+
+The value must be smaller than or equal to sched_util_clamp_max.
+
+3.3.2 sched_util_clamp_max
+--------------------------
+
+System wide limit of allowed UCLAMP_MAX range. By default it is set to 1024,
+which means that permitted effective UCLAMP_MAX range for tasks is [0:1024].
+
+By changing it to 512 for example the effective allowed range reduces to
+[0:512]. This means is that no task can run above 512, which implies that all
+rqs are restricted too. IOW, the whole system is capped to half its performance
+capacity.
+
+This is useful to restrict the overall maximum performance point of the system.
+For example, it can be handy to limit performance when running low on battery
+or when the system wants to limit access to more energy hungry performance
+levels when it's in idle state or screen is off.
+
+Requests from tasks to go above this knob value will still succeed, but they
+won't be satisfied until it is more than p->uclamp[UCLAMP_MAX].
+
+The value must be greater than or equal to sched_util_clamp_min.
+
+.. _uclamp-default-values:
+
+3.4. Default values
+-------------------
+
+By default all SCHED_NORMAL/SCHED_OTHER tasks are initialized to:
+
+::
+
+ p_fair->uclamp[UCLAMP_MIN] = 0
+ p_fair->uclamp[UCLAMP_MAX] = 1024
+
+That is, by default they're boosted to run at the maximum performance point of
+changed at boot or runtime. No argument was made yet as to why we should
+provide this, but can be added in the future.
+
+For SCHED_FIFO/SCHED_RR tasks:
+
+::
+
+ 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.