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There are three files with replace macros for structs, mapping them into Sphinx 2.x C domain references. Well, this is broken on Sphinx 3.x. Also, for Sphinx 2.x, the automarkup macro should be able to take care of them. So, let's just drop those. Signed-off-by: Mauro Carvalho Chehab <mchehab+huawei@kernel.org>
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.. SPDX-License-Identifier: GPL-2.0
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.. include:: <isonum.txt>
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.. |intel_pstate| replace:: :doc:`intel_pstate <intel_pstate>`
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=======================
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CPU Performance Scaling
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=======================
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:Copyright: |copy| 2017 Intel Corporation
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:Author: Rafael J. Wysocki <rafael.j.wysocki@intel.com>
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The Concept of CPU Performance Scaling
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======================================
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The majority of modern processors are capable of operating in a number of
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different clock frequency and voltage configurations, often referred to as
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Operating Performance Points or P-states (in ACPI terminology). As a rule,
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the higher the clock frequency and the higher the voltage, the more instructions
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can be retired by the CPU over a unit of time, but also the higher the clock
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frequency and the higher the voltage, the more energy is consumed over a unit of
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time (or the more power is drawn) by the CPU in the given P-state. Therefore
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there is a natural tradeoff between the CPU capacity (the number of instructions
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that can be executed over a unit of time) and the power drawn by the CPU.
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In some situations it is desirable or even necessary to run the program as fast
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as possible and then there is no reason to use any P-states different from the
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highest one (i.e. the highest-performance frequency/voltage configuration
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available). In some other cases, however, it may not be necessary to execute
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instructions so quickly and maintaining the highest available CPU capacity for a
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relatively long time without utilizing it entirely may be regarded as wasteful.
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It also may not be physically possible to maintain maximum CPU capacity for too
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long for thermal or power supply capacity reasons or similar. To cover those
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cases, there are hardware interfaces allowing CPUs to be switched between
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different frequency/voltage configurations or (in the ACPI terminology) to be
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put into different P-states.
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Typically, they are used along with algorithms to estimate the required CPU
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capacity, so as to decide which P-states to put the CPUs into. Of course, since
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the utilization of the system generally changes over time, that has to be done
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repeatedly on a regular basis. The activity by which this happens is referred
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to as CPU performance scaling or CPU frequency scaling (because it involves
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adjusting the CPU clock frequency).
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CPU Performance Scaling in Linux
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================================
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The Linux kernel supports CPU performance scaling by means of the ``CPUFreq``
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(CPU Frequency scaling) subsystem that consists of three layers of code: the
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core, scaling governors and scaling drivers.
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The ``CPUFreq`` core provides the common code infrastructure and user space
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interfaces for all platforms that support CPU performance scaling. It defines
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the basic framework in which the other components operate.
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Scaling governors implement algorithms to estimate the required CPU capacity.
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As a rule, each governor implements one, possibly parametrized, scaling
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algorithm.
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Scaling drivers talk to the hardware. They provide scaling governors with
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information on the available P-states (or P-state ranges in some cases) and
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access platform-specific hardware interfaces to change CPU P-states as requested
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by scaling governors.
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In principle, all available scaling governors can be used with every scaling
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driver. That design is based on the observation that the information used by
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performance scaling algorithms for P-state selection can be represented in a
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platform-independent form in the majority of cases, so it should be possible
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to use the same performance scaling algorithm implemented in exactly the same
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way regardless of which scaling driver is used. Consequently, the same set of
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scaling governors should be suitable for every supported platform.
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However, that observation may not hold for performance scaling algorithms
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based on information provided by the hardware itself, for example through
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feedback registers, as that information is typically specific to the hardware
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interface it comes from and may not be easily represented in an abstract,
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platform-independent way. For this reason, ``CPUFreq`` allows scaling drivers
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to bypass the governor layer and implement their own performance scaling
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algorithms. That is done by the |intel_pstate| scaling driver.
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``CPUFreq`` Policy Objects
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==========================
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In some cases the hardware interface for P-state control is shared by multiple
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CPUs. That is, for example, the same register (or set of registers) is used to
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control the P-state of multiple CPUs at the same time and writing to it affects
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all of those CPUs simultaneously.
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Sets of CPUs sharing hardware P-state control interfaces are represented by
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``CPUFreq`` as struct cpufreq_policy objects. For consistency,
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struct cpufreq_policy is also used when there is only one CPU in the given
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set.
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The ``CPUFreq`` core maintains a pointer to a struct cpufreq_policy object for
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every CPU in the system, including CPUs that are currently offline. If multiple
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CPUs share the same hardware P-state control interface, all of the pointers
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corresponding to them point to the same struct cpufreq_policy object.
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``CPUFreq`` uses struct cpufreq_policy as its basic data type and the design
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of its user space interface is based on the policy concept.
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CPU Initialization
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==================
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First of all, a scaling driver has to be registered for ``CPUFreq`` to work.
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It is only possible to register one scaling driver at a time, so the scaling
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driver is expected to be able to handle all CPUs in the system.
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The scaling driver may be registered before or after CPU registration. If
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CPUs are registered earlier, the driver core invokes the ``CPUFreq`` core to
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take a note of all of the already registered CPUs during the registration of the
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scaling driver. In turn, if any CPUs are registered after the registration of
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the scaling driver, the ``CPUFreq`` core will be invoked to take note of them
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at their registration time.
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In any case, the ``CPUFreq`` core is invoked to take note of any logical CPU it
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has not seen so far as soon as it is ready to handle that CPU. [Note that the
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logical CPU may be a physical single-core processor, or a single core in a
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multicore processor, or a hardware thread in a physical processor or processor
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core. In what follows "CPU" always means "logical CPU" unless explicitly stated
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otherwise and the word "processor" is used to refer to the physical part
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possibly including multiple logical CPUs.]
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Once invoked, the ``CPUFreq`` core checks if the policy pointer is already set
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for the given CPU and if so, it skips the policy object creation. Otherwise,
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a new policy object is created and initialized, which involves the creation of
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a new policy directory in ``sysfs``, and the policy pointer corresponding to
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the given CPU is set to the new policy object's address in memory.
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Next, the scaling driver's ``->init()`` callback is invoked with the policy
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pointer of the new CPU passed to it as the argument. That callback is expected
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to initialize the performance scaling hardware interface for the given CPU (or,
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more precisely, for the set of CPUs sharing the hardware interface it belongs
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to, represented by its policy object) and, if the policy object it has been
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called for is new, to set parameters of the policy, like the minimum and maximum
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frequencies supported by the hardware, the table of available frequencies (if
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the set of supported P-states is not a continuous range), and the mask of CPUs
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that belong to the same policy (including both online and offline CPUs). That
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mask is then used by the core to populate the policy pointers for all of the
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CPUs in it.
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The next major initialization step for a new policy object is to attach a
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scaling governor to it (to begin with, that is the default scaling governor
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determined by the kernel command line or configuration, but it may be changed
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later via ``sysfs``). First, a pointer to the new policy object is passed to
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the governor's ``->init()`` callback which is expected to initialize all of the
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data structures necessary to handle the given policy and, possibly, to add
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a governor ``sysfs`` interface to it. Next, the governor is started by
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invoking its ``->start()`` callback.
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That callback is expected to register per-CPU utilization update callbacks for
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all of the online CPUs belonging to the given policy with the CPU scheduler.
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The utilization update callbacks will be invoked by the CPU scheduler on
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important events, like task enqueue and dequeue, on every iteration of the
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scheduler tick or generally whenever the CPU utilization may change (from the
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scheduler's perspective). They are expected to carry out computations needed
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to determine the P-state to use for the given policy going forward and to
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invoke the scaling driver to make changes to the hardware in accordance with
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the P-state selection. The scaling driver may be invoked directly from
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scheduler context or asynchronously, via a kernel thread or workqueue, depending
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on the configuration and capabilities of the scaling driver and the governor.
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Similar steps are taken for policy objects that are not new, but were "inactive"
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previously, meaning that all of the CPUs belonging to them were offline. The
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only practical difference in that case is that the ``CPUFreq`` core will attempt
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to use the scaling governor previously used with the policy that became
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"inactive" (and is re-initialized now) instead of the default governor.
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In turn, if a previously offline CPU is being brought back online, but some
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other CPUs sharing the policy object with it are online already, there is no
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need to re-initialize the policy object at all. In that case, it only is
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necessary to restart the scaling governor so that it can take the new online CPU
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into account. That is achieved by invoking the governor's ``->stop`` and
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``->start()`` callbacks, in this order, for the entire policy.
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As mentioned before, the |intel_pstate| scaling driver bypasses the scaling
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governor layer of ``CPUFreq`` and provides its own P-state selection algorithms.
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Consequently, if |intel_pstate| is used, scaling governors are not attached to
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new policy objects. Instead, the driver's ``->setpolicy()`` callback is invoked
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to register per-CPU utilization update callbacks for each policy. These
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callbacks are invoked by the CPU scheduler in the same way as for scaling
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governors, but in the |intel_pstate| case they both determine the P-state to
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use and change the hardware configuration accordingly in one go from scheduler
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context.
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The policy objects created during CPU initialization and other data structures
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associated with them are torn down when the scaling driver is unregistered
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(which happens when the kernel module containing it is unloaded, for example) or
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when the last CPU belonging to the given policy in unregistered.
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Policy Interface in ``sysfs``
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=============================
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During the initialization of the kernel, the ``CPUFreq`` core creates a
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``sysfs`` directory (kobject) called ``cpufreq`` under
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:file:`/sys/devices/system/cpu/`.
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That directory contains a ``policyX`` subdirectory (where ``X`` represents an
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integer number) for every policy object maintained by the ``CPUFreq`` core.
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Each ``policyX`` directory is pointed to by ``cpufreq`` symbolic links
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under :file:`/sys/devices/system/cpu/cpuY/` (where ``Y`` represents an integer
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that may be different from the one represented by ``X``) for all of the CPUs
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associated with (or belonging to) the given policy. The ``policyX`` directories
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in :file:`/sys/devices/system/cpu/cpufreq` each contain policy-specific
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attributes (files) to control ``CPUFreq`` behavior for the corresponding policy
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objects (that is, for all of the CPUs associated with them).
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Some of those attributes are generic. They are created by the ``CPUFreq`` core
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and their behavior generally does not depend on what scaling driver is in use
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and what scaling governor is attached to the given policy. Some scaling drivers
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also add driver-specific attributes to the policy directories in ``sysfs`` to
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control policy-specific aspects of driver behavior.
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The generic attributes under :file:`/sys/devices/system/cpu/cpufreq/policyX/`
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are the following:
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``affected_cpus``
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List of online CPUs belonging to this policy (i.e. sharing the hardware
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performance scaling interface represented by the ``policyX`` policy
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object).
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``bios_limit``
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If the platform firmware (BIOS) tells the OS to apply an upper limit to
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CPU frequencies, that limit will be reported through this attribute (if
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present).
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The existence of the limit may be a result of some (often unintentional)
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BIOS settings, restrictions coming from a service processor or another
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BIOS/HW-based mechanisms.
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This does not cover ACPI thermal limitations which can be discovered
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through a generic thermal driver.
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This attribute is not present if the scaling driver in use does not
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support it.
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``cpuinfo_cur_freq``
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Current frequency of the CPUs belonging to this policy as obtained from
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the hardware (in KHz).
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This is expected to be the frequency the hardware actually runs at.
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If that frequency cannot be determined, this attribute should not
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be present.
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``cpuinfo_max_freq``
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Maximum possible operating frequency the CPUs belonging to this policy
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can run at (in kHz).
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``cpuinfo_min_freq``
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Minimum possible operating frequency the CPUs belonging to this policy
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can run at (in kHz).
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``cpuinfo_transition_latency``
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The time it takes to switch the CPUs belonging to this policy from one
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P-state to another, in nanoseconds.
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If unknown or if known to be so high that the scaling driver does not
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work with the `ondemand`_ governor, -1 (:c:macro:`CPUFREQ_ETERNAL`)
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will be returned by reads from this attribute.
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``related_cpus``
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List of all (online and offline) CPUs belonging to this policy.
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``scaling_available_governors``
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List of ``CPUFreq`` scaling governors present in the kernel that can
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be attached to this policy or (if the |intel_pstate| scaling driver is
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in use) list of scaling algorithms provided by the driver that can be
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applied to this policy.
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[Note that some governors are modular and it may be necessary to load a
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kernel module for the governor held by it to become available and be
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listed by this attribute.]
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``scaling_cur_freq``
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Current frequency of all of the CPUs belonging to this policy (in kHz).
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In the majority of cases, this is the frequency of the last P-state
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requested by the scaling driver from the hardware using the scaling
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interface provided by it, which may or may not reflect the frequency
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the CPU is actually running at (due to hardware design and other
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limitations).
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Some architectures (e.g. ``x86``) may attempt to provide information
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more precisely reflecting the current CPU frequency through this
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attribute, but that still may not be the exact current CPU frequency as
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seen by the hardware at the moment.
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``scaling_driver``
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The scaling driver currently in use.
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``scaling_governor``
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The scaling governor currently attached to this policy or (if the
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|intel_pstate| scaling driver is in use) the scaling algorithm
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provided by the driver that is currently applied to this policy.
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This attribute is read-write and writing to it will cause a new scaling
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governor to be attached to this policy or a new scaling algorithm
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provided by the scaling driver to be applied to it (in the
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|intel_pstate| case), as indicated by the string written to this
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attribute (which must be one of the names listed by the
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``scaling_available_governors`` attribute described above).
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``scaling_max_freq``
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Maximum frequency the CPUs belonging to this policy are allowed to be
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running at (in kHz).
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This attribute is read-write and writing a string representing an
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integer to it will cause a new limit to be set (it must not be lower
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than the value of the ``scaling_min_freq`` attribute).
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``scaling_min_freq``
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Minimum frequency the CPUs belonging to this policy are allowed to be
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running at (in kHz).
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This attribute is read-write and writing a string representing a
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non-negative integer to it will cause a new limit to be set (it must not
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be higher than the value of the ``scaling_max_freq`` attribute).
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``scaling_setspeed``
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This attribute is functional only if the `userspace`_ scaling governor
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is attached to the given policy.
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It returns the last frequency requested by the governor (in kHz) or can
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be written to in order to set a new frequency for the policy.
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Generic Scaling Governors
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=========================
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``CPUFreq`` provides generic scaling governors that can be used with all
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scaling drivers. As stated before, each of them implements a single, possibly
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parametrized, performance scaling algorithm.
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Scaling governors are attached to policy objects and different policy objects
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can be handled by different scaling governors at the same time (although that
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may lead to suboptimal results in some cases).
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The scaling governor for a given policy object can be changed at any time with
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the help of the ``scaling_governor`` policy attribute in ``sysfs``.
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Some governors expose ``sysfs`` attributes to control or fine-tune the scaling
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algorithms implemented by them. Those attributes, referred to as governor
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tunables, can be either global (system-wide) or per-policy, depending on the
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scaling driver in use. If the driver requires governor tunables to be
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per-policy, they are located in a subdirectory of each policy directory.
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Otherwise, they are located in a subdirectory under
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:file:`/sys/devices/system/cpu/cpufreq/`. In either case the name of the
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subdirectory containing the governor tunables is the name of the governor
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providing them.
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``performance``
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---------------
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When attached to a policy object, this governor causes the highest frequency,
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within the ``scaling_max_freq`` policy limit, to be requested for that policy.
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The request is made once at that time the governor for the policy is set to
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``performance`` and whenever the ``scaling_max_freq`` or ``scaling_min_freq``
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policy limits change after that.
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``powersave``
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-------------
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When attached to a policy object, this governor causes the lowest frequency,
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within the ``scaling_min_freq`` policy limit, to be requested for that policy.
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The request is made once at that time the governor for the policy is set to
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``powersave`` and whenever the ``scaling_max_freq`` or ``scaling_min_freq``
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policy limits change after that.
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``userspace``
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-------------
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This governor does not do anything by itself. Instead, it allows user space
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to set the CPU frequency for the policy it is attached to by writing to the
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``scaling_setspeed`` attribute of that policy.
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``schedutil``
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-------------
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This governor uses CPU utilization data available from the CPU scheduler. It
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generally is regarded as a part of the CPU scheduler, so it can access the
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scheduler's internal data structures directly.
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It runs entirely in scheduler context, although in some cases it may need to
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invoke the scaling driver asynchronously when it decides that the CPU frequency
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should be changed for a given policy (that depends on whether or not the driver
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is capable of changing the CPU frequency from scheduler context).
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The actions of this governor for a particular CPU depend on the scheduling class
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invoking its utilization update callback for that CPU. If it is invoked by the
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RT or deadline scheduling classes, the governor will increase the frequency to
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the allowed maximum (that is, the ``scaling_max_freq`` policy limit). In turn,
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if it is invoked by the CFS scheduling class, the governor will use the
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Per-Entity Load Tracking (PELT) metric for the root control group of the
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given CPU as the CPU utilization estimate (see the *Per-entity load tracking*
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LWN.net article [1]_ for a description of the PELT mechanism). Then, the new
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CPU frequency to apply is computed in accordance with the formula
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f = 1.25 * ``f_0`` * ``util`` / ``max``
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where ``util`` is the PELT number, ``max`` is the theoretical maximum of
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``util``, and ``f_0`` is either the maximum possible CPU frequency for the given
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policy (if the PELT number is frequency-invariant), or the current CPU frequency
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(otherwise).
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This governor also employs a mechanism allowing it to temporarily bump up the
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CPU frequency for tasks that have been waiting on I/O most recently, called
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"IO-wait boosting". That happens when the :c:macro:`SCHED_CPUFREQ_IOWAIT` flag
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is passed by the scheduler to the governor callback which causes the frequency
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to go up to the allowed maximum immediately and then draw back to the value
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returned by the above formula over time.
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This governor exposes only one tunable:
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``rate_limit_us``
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Minimum time (in microseconds) that has to pass between two consecutive
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runs of governor computations (default: 1000 times the scaling driver's
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transition latency).
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The purpose of this tunable is to reduce the scheduler context overhead
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of the governor which might be excessive without it.
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This governor generally is regarded as a replacement for the older `ondemand`_
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and `conservative`_ governors (described below), as it is simpler and more
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tightly integrated with the CPU scheduler, its overhead in terms of CPU context
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switches and similar is less significant, and it uses the scheduler's own CPU
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utilization metric, so in principle its decisions should not contradict the
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decisions made by the other parts of the scheduler.
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``ondemand``
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------------
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This governor uses CPU load as a CPU frequency selection metric.
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In order to estimate the current CPU load, it measures the time elapsed between
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consecutive invocations of its worker routine and computes the fraction of that
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time in which the given CPU was not idle. The ratio of the non-idle (active)
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time to the total CPU time is taken as an estimate of the load.
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If this governor is attached to a policy shared by multiple CPUs, the load is
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estimated for all of them and the greatest result is taken as the load estimate
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for the entire policy.
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The worker routine of this governor has to run in process context, so it is
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invoked asynchronously (via a workqueue) and CPU P-states are updated from
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there if necessary. As a result, the scheduler context overhead from this
|
|
governor is minimum, but it causes additional CPU context switches to happen
|
|
relatively often and the CPU P-state updates triggered by it can be relatively
|
|
irregular. Also, it affects its own CPU load metric by running code that
|
|
reduces the CPU idle time (even though the CPU idle time is only reduced very
|
|
slightly by it).
|
|
|
|
It generally selects CPU frequencies proportional to the estimated load, so that
|
|
the value of the ``cpuinfo_max_freq`` policy attribute corresponds to the load of
|
|
1 (or 100%), and the value of the ``cpuinfo_min_freq`` policy attribute
|
|
corresponds to the load of 0, unless when the load exceeds a (configurable)
|
|
speedup threshold, in which case it will go straight for the highest frequency
|
|
it is allowed to use (the ``scaling_max_freq`` policy limit).
|
|
|
|
This governor exposes the following tunables:
|
|
|
|
``sampling_rate``
|
|
This is how often the governor's worker routine should run, in
|
|
microseconds.
|
|
|
|
Typically, it is set to values of the order of 10000 (10 ms). Its
|
|
default value is equal to the value of ``cpuinfo_transition_latency``
|
|
for each policy this governor is attached to (but since the unit here
|
|
is greater by 1000, this means that the time represented by
|
|
``sampling_rate`` is 1000 times greater than the transition latency by
|
|
default).
|
|
|
|
If this tunable is per-policy, the following shell command sets the time
|
|
represented by it to be 750 times as high as the transition latency::
|
|
|
|
# echo `$(($(cat cpuinfo_transition_latency) * 750 / 1000)) > ondemand/sampling_rate
|
|
|
|
``up_threshold``
|
|
If the estimated CPU load is above this value (in percent), the governor
|
|
will set the frequency to the maximum value allowed for the policy.
|
|
Otherwise, the selected frequency will be proportional to the estimated
|
|
CPU load.
|
|
|
|
``ignore_nice_load``
|
|
If set to 1 (default 0), it will cause the CPU load estimation code to
|
|
treat the CPU time spent on executing tasks with "nice" levels greater
|
|
than 0 as CPU idle time.
|
|
|
|
This may be useful if there are tasks in the system that should not be
|
|
taken into account when deciding what frequency to run the CPUs at.
|
|
Then, to make that happen it is sufficient to increase the "nice" level
|
|
of those tasks above 0 and set this attribute to 1.
|
|
|
|
``sampling_down_factor``
|
|
Temporary multiplier, between 1 (default) and 100 inclusive, to apply to
|
|
the ``sampling_rate`` value if the CPU load goes above ``up_threshold``.
|
|
|
|
This causes the next execution of the governor's worker routine (after
|
|
setting the frequency to the allowed maximum) to be delayed, so the
|
|
frequency stays at the maximum level for a longer time.
|
|
|
|
Frequency fluctuations in some bursty workloads may be avoided this way
|
|
at the cost of additional energy spent on maintaining the maximum CPU
|
|
capacity.
|
|
|
|
``powersave_bias``
|
|
Reduction factor to apply to the original frequency target of the
|
|
governor (including the maximum value used when the ``up_threshold``
|
|
value is exceeded by the estimated CPU load) or sensitivity threshold
|
|
for the AMD frequency sensitivity powersave bias driver
|
|
(:file:`drivers/cpufreq/amd_freq_sensitivity.c`), between 0 and 1000
|
|
inclusive.
|
|
|
|
If the AMD frequency sensitivity powersave bias driver is not loaded,
|
|
the effective frequency to apply is given by
|
|
|
|
f * (1 - ``powersave_bias`` / 1000)
|
|
|
|
where f is the governor's original frequency target. The default value
|
|
of this attribute is 0 in that case.
|
|
|
|
If the AMD frequency sensitivity powersave bias driver is loaded, the
|
|
value of this attribute is 400 by default and it is used in a different
|
|
way.
|
|
|
|
On Family 16h (and later) AMD processors there is a mechanism to get a
|
|
measured workload sensitivity, between 0 and 100% inclusive, from the
|
|
hardware. That value can be used to estimate how the performance of the
|
|
workload running on a CPU will change in response to frequency changes.
|
|
|
|
The performance of a workload with the sensitivity of 0 (memory-bound or
|
|
IO-bound) is not expected to increase at all as a result of increasing
|
|
the CPU frequency, whereas workloads with the sensitivity of 100%
|
|
(CPU-bound) are expected to perform much better if the CPU frequency is
|
|
increased.
|
|
|
|
If the workload sensitivity is less than the threshold represented by
|
|
the ``powersave_bias`` value, the sensitivity powersave bias driver
|
|
will cause the governor to select a frequency lower than its original
|
|
target, so as to avoid over-provisioning workloads that will not benefit
|
|
from running at higher CPU frequencies.
|
|
|
|
``conservative``
|
|
----------------
|
|
|
|
This governor uses CPU load as a CPU frequency selection metric.
|
|
|
|
It estimates the CPU load in the same way as the `ondemand`_ governor described
|
|
above, but the CPU frequency selection algorithm implemented by it is different.
|
|
|
|
Namely, it avoids changing the frequency significantly over short time intervals
|
|
which may not be suitable for systems with limited power supply capacity (e.g.
|
|
battery-powered). To achieve that, it changes the frequency in relatively
|
|
small steps, one step at a time, up or down - depending on whether or not a
|
|
(configurable) threshold has been exceeded by the estimated CPU load.
|
|
|
|
This governor exposes the following tunables:
|
|
|
|
``freq_step``
|
|
Frequency step in percent of the maximum frequency the governor is
|
|
allowed to set (the ``scaling_max_freq`` policy limit), between 0 and
|
|
100 (5 by default).
|
|
|
|
This is how much the frequency is allowed to change in one go. Setting
|
|
it to 0 will cause the default frequency step (5 percent) to be used
|
|
and setting it to 100 effectively causes the governor to periodically
|
|
switch the frequency between the ``scaling_min_freq`` and
|
|
``scaling_max_freq`` policy limits.
|
|
|
|
``down_threshold``
|
|
Threshold value (in percent, 20 by default) used to determine the
|
|
frequency change direction.
|
|
|
|
If the estimated CPU load is greater than this value, the frequency will
|
|
go up (by ``freq_step``). If the load is less than this value (and the
|
|
``sampling_down_factor`` mechanism is not in effect), the frequency will
|
|
go down. Otherwise, the frequency will not be changed.
|
|
|
|
``sampling_down_factor``
|
|
Frequency decrease deferral factor, between 1 (default) and 10
|
|
inclusive.
|
|
|
|
It effectively causes the frequency to go down ``sampling_down_factor``
|
|
times slower than it ramps up.
|
|
|
|
|
|
Frequency Boost Support
|
|
=======================
|
|
|
|
Background
|
|
----------
|
|
|
|
Some processors support a mechanism to raise the operating frequency of some
|
|
cores in a multicore package temporarily (and above the sustainable frequency
|
|
threshold for the whole package) under certain conditions, for example if the
|
|
whole chip is not fully utilized and below its intended thermal or power budget.
|
|
|
|
Different names are used by different vendors to refer to this functionality.
|
|
For Intel processors it is referred to as "Turbo Boost", AMD calls it
|
|
"Turbo-Core" or (in technical documentation) "Core Performance Boost" and so on.
|
|
As a rule, it also is implemented differently by different vendors. The simple
|
|
term "frequency boost" is used here for brevity to refer to all of those
|
|
implementations.
|
|
|
|
The frequency boost mechanism may be either hardware-based or software-based.
|
|
If it is hardware-based (e.g. on x86), the decision to trigger the boosting is
|
|
made by the hardware (although in general it requires the hardware to be put
|
|
into a special state in which it can control the CPU frequency within certain
|
|
limits). If it is software-based (e.g. on ARM), the scaling driver decides
|
|
whether or not to trigger boosting and when to do that.
|
|
|
|
The ``boost`` File in ``sysfs``
|
|
-------------------------------
|
|
|
|
This file is located under :file:`/sys/devices/system/cpu/cpufreq/` and controls
|
|
the "boost" setting for the whole system. It is not present if the underlying
|
|
scaling driver does not support the frequency boost mechanism (or supports it,
|
|
but provides a driver-specific interface for controlling it, like
|
|
|intel_pstate|).
|
|
|
|
If the value in this file is 1, the frequency boost mechanism is enabled. This
|
|
means that either the hardware can be put into states in which it is able to
|
|
trigger boosting (in the hardware-based case), or the software is allowed to
|
|
trigger boosting (in the software-based case). It does not mean that boosting
|
|
is actually in use at the moment on any CPUs in the system. It only means a
|
|
permission to use the frequency boost mechanism (which still may never be used
|
|
for other reasons).
|
|
|
|
If the value in this file is 0, the frequency boost mechanism is disabled and
|
|
cannot be used at all.
|
|
|
|
The only values that can be written to this file are 0 and 1.
|
|
|
|
Rationale for Boost Control Knob
|
|
--------------------------------
|
|
|
|
The frequency boost mechanism is generally intended to help to achieve optimum
|
|
CPU performance on time scales below software resolution (e.g. below the
|
|
scheduler tick interval) and it is demonstrably suitable for many workloads, but
|
|
it may lead to problems in certain situations.
|
|
|
|
For this reason, many systems make it possible to disable the frequency boost
|
|
mechanism in the platform firmware (BIOS) setup, but that requires the system to
|
|
be restarted for the setting to be adjusted as desired, which may not be
|
|
practical at least in some cases. For example:
|
|
|
|
1. Boosting means overclocking the processor, although under controlled
|
|
conditions. Generally, the processor's energy consumption increases
|
|
as a result of increasing its frequency and voltage, even temporarily.
|
|
That may not be desirable on systems that switch to power sources of
|
|
limited capacity, such as batteries, so the ability to disable the boost
|
|
mechanism while the system is running may help there (but that depends on
|
|
the workload too).
|
|
|
|
2. In some situations deterministic behavior is more important than
|
|
performance or energy consumption (or both) and the ability to disable
|
|
boosting while the system is running may be useful then.
|
|
|
|
3. To examine the impact of the frequency boost mechanism itself, it is useful
|
|
to be able to run tests with and without boosting, preferably without
|
|
restarting the system in the meantime.
|
|
|
|
4. Reproducible results are important when running benchmarks. Since
|
|
the boosting functionality depends on the load of the whole package,
|
|
single-thread performance may vary because of it which may lead to
|
|
unreproducible results sometimes. That can be avoided by disabling the
|
|
frequency boost mechanism before running benchmarks sensitive to that
|
|
issue.
|
|
|
|
Legacy AMD ``cpb`` Knob
|
|
-----------------------
|
|
|
|
The AMD powernow-k8 scaling driver supports a ``sysfs`` knob very similar to
|
|
the global ``boost`` one. It is used for disabling/enabling the "Core
|
|
Performance Boost" feature of some AMD processors.
|
|
|
|
If present, that knob is located in every ``CPUFreq`` policy directory in
|
|
``sysfs`` (:file:`/sys/devices/system/cpu/cpufreq/policyX/`) and is called
|
|
``cpb``, which indicates a more fine grained control interface. The actual
|
|
implementation, however, works on the system-wide basis and setting that knob
|
|
for one policy causes the same value of it to be set for all of the other
|
|
policies at the same time.
|
|
|
|
That knob is still supported on AMD processors that support its underlying
|
|
hardware feature, but it may be configured out of the kernel (via the
|
|
:c:macro:`CONFIG_X86_ACPI_CPUFREQ_CPB` configuration option) and the global
|
|
``boost`` knob is present regardless. Thus it is always possible use the
|
|
``boost`` knob instead of the ``cpb`` one which is highly recommended, as that
|
|
is more consistent with what all of the other systems do (and the ``cpb`` knob
|
|
may not be supported any more in the future).
|
|
|
|
The ``cpb`` knob is never present for any processors without the underlying
|
|
hardware feature (e.g. all Intel ones), even if the
|
|
:c:macro:`CONFIG_X86_ACPI_CPUFREQ_CPB` configuration option is set.
|
|
|
|
|
|
References
|
|
==========
|
|
|
|
.. [1] Jonathan Corbet, *Per-entity load tracking*,
|
|
https://lwn.net/Articles/531853/
|