source: rtems-docs/c-user/symmetric_multiprocessing_services.rst @ a238912

.. comment SPDX-License-Identifier: CC-BY-SA-4.0

.. COMMENT: COPYRIGHT (c) 2014.
.. COMMENT: On-Line Applications Research Corporation (OAR).
.. COMMENT: All rights reserved.

Symmetric Multiprocessing Services
**********************************

Introduction
============

The Symmetric Multiprocessing (SMP) support of the RTEMS 4.11.0 and later is available
on

- ARM,

- PowerPC, and

- SPARC.

It must be explicitly enabled via the ``--enable-smp`` configure command line
option.  To enable SMP in the application configuration see :ref:`Enable SMP
Support for Applications`.  The default scheduler for SMP applications supports
up to 32 processors and is a global fixed priority scheduler, see also
:ref:`Configuring Clustered Schedulers`.  For example applications
see:file:`testsuites/smptests`.

.. warning::

   The SMP support in the release of RTEMS is a work in progress. Before you
   start using this RTEMS version for SMP ask on the RTEMS mailing list.

This chapter describes the services related to Symmetric Multiprocessing
provided by RTEMS.

The application level services currently provided are:

- rtems_get_processor_count_ - Get processor count

- rtems_get_current_processor_ - Get current processor index

- rtems_scheduler_ident_ - Get ID of a scheduler

- rtems_scheduler_get_processor_set_ - Get processor set of a scheduler

- rtems_scheduler_add_processor_ - Add processor to a scheduler

- rtems_scheduler_remove_processor_ - Remove processor from a scheduler

Background
==========

Uniprocessor versus SMP Parallelism
-----------------------------------

Uniprocessor systems have long been used in embedded systems. In this hardware
model, there are some system execution characteristics which have long been
taken for granted:

- one task executes at a time

- hardware events result in interrupts

There is no true parallelism. Even when interrupts appear to occur at the same
time, they are processed in largely a serial fashion.  This is true even when
the interupt service routines are allowed to nest.  From a tasking viewpoint,
it is the responsibility of the real-time operatimg system to simulate
parallelism by switching between tasks.  These task switches occur in response
to hardware interrupt events and explicit application events such as blocking
for a resource or delaying.

With symmetric multiprocessing, the presence of multiple processors allows for
true concurrency and provides for cost-effective performance
improvements. Uniprocessors tend to increase performance by increasing clock
speed and complexity. This tends to lead to hot, power hungry microprocessors
which are poorly suited for many embedded applications.

The true concurrency is in sharp contrast to the single task and interrupt
model of uniprocessor systems. This results in a fundamental change to
uniprocessor system characteristics listed above. Developers are faced with a
different set of characteristics which, in turn, break some existing
assumptions and result in new challenges. In an SMP system with N processors,
these are the new execution characteristics.

- N tasks execute in parallel

- hardware events result in interrupts

There is true parallelism with a task executing on each processor and the
possibility of interrupts occurring on each processor. Thus in contrast to
their being one task and one interrupt to consider on a uniprocessor, there are
N tasks and potentially N simultaneous interrupts to consider on an SMP system.

This increase in hardware complexity and presence of true parallelism results
in the application developer needing to be even more cautious about mutual
exclusion and shared data access than in a uniprocessor embedded system. Race
conditions that never or rarely happened when an application executed on a
uniprocessor system, become much more likely due to multiple threads executing
in parallel. On a uniprocessor system, these race conditions would only happen
when a task switch occurred at just the wrong moment. Now there are N-1 tasks
executing in parallel all the time and this results in many more opportunities
for small windows in critical sections to be hit.

Task Affinity
-------------
.. index:: task affinity
.. index:: thread affinity

RTEMS provides services to manipulate the affinity of a task. Affinity is used
to specify the subset of processors in an SMP system on which a particular task
can execute.

By default, tasks have an affinity which allows them to execute on any
available processor.

Task affinity is a possible feature to be supported by SMP-aware
schedulers. However, only a subset of the available schedulers support
affinity. Although the behavior is scheduler specific, if the scheduler does
not support affinity, it is likely to ignore all attempts to set affinity.

The scheduler with support for arbitary processor affinities uses a proof of
concept implementation.  See https://devel.rtems.org/ticket/2510.

Task Migration
--------------
.. index:: task migration
.. index:: thread migration

With more than one processor in the system tasks can migrate from one processor
to another.  There are three reasons why tasks migrate in RTEMS.

- The scheduler changes explicitly via ``rtems_task_set_scheduler()`` or
  similar directives.

- The task resumes execution after a blocking operation.  On a priority based
  scheduler it will evict the lowest priority task currently assigned to a
  processor in the processor set managed by the scheduler instance.

- The task moves temporarily to another scheduler instance due to locking
  protocols like *Migratory Priority Inheritance* or the *Multiprocessor
  Resource Sharing Protocol*.

Task migration should be avoided so that the working set of a task can stay on
the most local cache level.

The current implementation of task migration in RTEMS has some implications
with respect to the interrupt latency.  It is crucial to preserve the system
invariant that a task can execute on at most one processor in the system at a
time.  This is accomplished with a boolean indicator in the task context.  The
processor architecture specific low-level task context switch code will mark
that a task context is no longer executing and waits that the heir context
stopped execution before it restores the heir context and resumes execution of
the heir task.  So there is one point in time in which a processor is without a
task.  This is essential to avoid cyclic dependencies in case multiple tasks
migrate at once.  Otherwise some supervising entity is necessary to prevent
life-locks.  Such a global supervisor would lead to scalability problems so
this approach is not used.  Currently the thread dispatch is performed with
interrupts disabled.  So in case the heir task is currently executing on
another processor then this prolongs the time of disabled interrupts since one
processor has to wait for another processor to make progress.

It is difficult to avoid this issue with the interrupt latency since interrupts
normally store the context of the interrupted task on its stack.  In case a
task is marked as not executing we must not use its task stack to store such an
interrupt context.  We cannot use the heir stack before it stopped execution on
another processor.  So if we enable interrupts during this transition we have
to provide an alternative task independent stack for this time frame.  This
issue needs further investigation.

Clustered Scheduling
--------------------

We have clustered scheduling in case the set of processors of a system is
partitioned into non-empty pairwise-disjoint subsets. These subsets are called
clusters.  Clusters with a cardinality of one are partitions.  Each cluster is
owned by exactly one scheduler instance.

Clustered scheduling helps to control the worst-case latencies in
multi-processor systems, see :cite:`Brandenburg:2011:SL`. The goal is to reduce
the amount of shared state in the system and thus prevention of lock
contention. Modern multi-processor systems tend to have several layers of data
and instruction caches.  With clustered scheduling it is possible to honour the
cache topology of a system and thus avoid expensive cache synchronization
traffic.  It is easy to implement.  The problem is to provide synchronization
primitives for inter-cluster synchronization (more than one cluster is involved
in the synchronization process). In RTEMS there are currently four means
available

- events,

- message queues,

- semaphores using the :ref:`Priority Inheritance` protocol (priority
  boosting), and

- semaphores using the Multiprocessor Resource Sharing Protocol :cite:`Burns:2013:MrsP`.

The clustered scheduling approach enables separation of functions with
real-time requirements and functions that profit from fairness and high
throughput provided the scheduler instances are fully decoupled and adequate
inter-cluster synchronization primitives are used.  This is work in progress.

For the configuration of clustered schedulers see :ref:`Configuring Clustered
Schedulers`.

To set the scheduler of a task see :ref:`SCHEDULER_IDENT - Get ID of a
scheduler` and :ref:`TASK_SET_SCHEDULER - Set scheduler of a task`.

Task Priority Queues
--------------------

Due to the support for clustered scheduling the task priority queues need
special attention.  It makes no sense to compare the priority values of two
different scheduler instances.  Thus, it is not possible to simply use one
plain priority queue for tasks of different scheduler instances.

One solution to this problem is to use two levels of queues.  The top level
queue provides FIFO ordering and contains priority queues.  Each priority queue
is associated with a scheduler instance and contains only tasks of this
scheduler instance.  Tasks are enqueued in the priority queue corresponding to
their scheduler instance.  In case this priority queue was empty, then it is
appended to the FIFO.  To dequeue a task the highest priority task of the first
priority queue in the FIFO is selected.  Then the first priority queue is
removed from the FIFO.  In case the previously first priority queue is not
empty, then it is appended to the FIFO.  So there is FIFO fairness with respect
to the highest priority task of each scheduler instances. See also
:cite:`Brandenburg:2013:OMIP`.

Such a two level queue may need a considerable amount of memory if fast enqueue
and dequeue operations are desired (depends on the scheduler instance count).
To mitigate this problem an approch of the FreeBSD kernel was implemented in
RTEMS.  We have the invariant that a task can be enqueued on at most one task
queue.  Thus, we need only as many queues as we have tasks.  Each task is
equipped with spare task queue which it can give to an object on demand.  The
task queue uses a dedicated memory space independent of the other memory used
for the task itself. In case a task needs to block, then there are two options

- the object already has task queue, then the task enqueues itself to this
  already present queue and the spare task queue of the task is added to a list
  of free queues for this object, or

- otherwise, then the queue of the task is given to the object and the task
  enqueues itself to this queue.

In case the task is dequeued, then there are two options

- the task is the last task on the queue, then it removes this queue from the
  object and reclaims it for its own purpose, or

- otherwise, then the task removes one queue from the free list of the object
  and reclaims it for its own purpose.

Since there are usually more objects than tasks, this actually reduces the
memory demands. In addition the objects contain only a pointer to the task
queue structure. This helps to hide implementation details and makes it
possible to use self-contained synchronization objects in Newlib and GCC (C++
and OpenMP run-time support).

Scheduler Helping Protocol
--------------------------

The scheduler provides a helping protocol to support locking protocols like
*Migratory Priority Inheritance* or the *Multiprocessor Resource Sharing
Protocol*.  Each ready task can use at least one scheduler node at a time to
gain access to a processor.  Each scheduler node has an owner, a user and an
optional idle task.  The owner of a scheduler node is determined a task
creation and never changes during the life time of a scheduler node.  The user
of a scheduler node may change due to the scheduler helping protocol.  A
scheduler node is in one of the four scheduler help states:

:dfn:`help yourself`
    This scheduler node is solely used by the owner task.  This task owns no
    resources using a helping protocol and thus does not take part in the
    scheduler helping protocol.  No help will be provided for other tasks.

:dfn:`help active owner`
    This scheduler node is owned by a task actively owning a resource and can
    be used to help out tasks.  In case this scheduler node changes its state
    from ready to scheduled and the task executes using another node, then an
    idle task will be provided as a user of this node to temporarily execute on
    behalf of the owner task.  Thus lower priority tasks are denied access to
    the processors of this scheduler instance.  In case a task actively owning
    a resource performs a blocking operation, then an idle task will be used
    also in case this node is in the scheduled state.

:dfn:`help active rival`
    This scheduler node is owned by a task actively obtaining a resource
    currently owned by another task and can be used to help out tasks.  The
    task owning this node is ready and will give away its processor in case the
    task owning the resource asks for help.

:dfn:`help passive`
    This scheduler node is owned by a task obtaining a resource currently owned
    by another task and can be used to help out tasks.  The task owning this
    node is blocked.

The following scheduler operations return a task in need for help

- unblock,

- change priority,

- yield, and

- ask for help.

A task in need for help is a task that encounters a scheduler state change from
scheduled to ready (this is a pre-emption by a higher priority task) or a task
that cannot be scheduled in an unblock operation.  Such a task can ask tasks
which depend on resources owned by this task for help.

In case it is not possible to schedule a task in need for help, then the
scheduler nodes available for the task will be placed into the set of ready
scheduler nodes of the corresponding scheduler instances.  Once a state change
from ready to scheduled happens for one of scheduler nodes it will be used to
schedule the task in need for help.

The ask for help scheduler operation is used to help tasks in need for help
returned by the operations mentioned above.  This operation is also used in
case the root of a resource sub-tree owned by a task changes.

The run-time of the ask for help procedures depend on the size of the resource
tree of the task needing help and other resource trees in case tasks in need
for help are produced during this operation.  Thus the worst-case latency in
the system depends on the maximum resource tree size of the application.

Critical Section Techniques and SMP
-----------------------------------

As discussed earlier, SMP systems have opportunities for true parallelism which
was not possible on uniprocessor systems. Consequently, multiple techniques
that provided adequate critical sections on uniprocessor systems are unsafe on
SMP systems. In this section, some of these unsafe techniques will be
discussed.

In general, applications must use proper operating system provided mutual
exclusion mechanisms to ensure correct behavior. This primarily means the use
of binary semaphores or mutexes to implement critical sections.

Disable Interrupts and Interrupt Locks
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

A low overhead means to ensure mutual exclusion in uni-processor configurations
is to disable interrupts around a critical section.  This is commonly used in
device driver code and throughout the operating system core.  On SMP
configurations, however, disabling the interrupts on one processor has no
effect on other processors.  So, this is insufficient to ensure system wide
mutual exclusion.  The macros

- ``rtems_interrupt_disable()``,

- ``rtems_interrupt_enable()``, and

- ``rtems_interrupt_flush()``

are disabled on SMP configurations and its use will lead to compiler warnings
and linker errors.  In the unlikely case that interrupts must be disabled on
the current processor, then the

- ``rtems_interrupt_local_disable()``, and

- ``rtems_interrupt_local_enable()``

macros are now available in all configurations.

Since disabling of interrupts is not enough to ensure system wide mutual
exclusion on SMP, a new low-level synchronization primitive was added - the
interrupt locks.  They are a simple API layer on top of the SMP locks used for
low-level synchronization in the operating system core.  Currently they are
implemented as a ticket lock.  On uni-processor configurations they degenerate
to simple interrupt disable/enable sequences.  It is disallowed to acquire a
single interrupt lock in a nested way.  This will result in an infinite loop
with interrupts disabled.  While converting legacy code to interrupt locks care
must be taken to avoid this situation.

.. code-block:: c
    :linenos:

    void legacy_code_with_interrupt_disable_enable( void )
    {
        rtems_interrupt_level level;
        rtems_interrupt_disable( level );
        /* Some critical stuff */
        rtems_interrupt_enable( level );
    }

    RTEMS_INTERRUPT_LOCK_DEFINE( static, lock, "Name" );

    void smp_ready_code_with_interrupt_lock( void )
    {
        rtems_interrupt_lock_context lock_context;
        rtems_interrupt_lock_acquire( &lock, &lock_context );
        /* Some critical stuff */
        rtems_interrupt_lock_release( &lock, &lock_context );
    }

The ``rtems_interrupt_lock`` structure is empty on uni-processor
configurations.  Empty structures have a different size in C
(implementation-defined, zero in case of GCC) and C++ (implementation-defined
non-zero value, one in case of GCC).  Thus the
``RTEMS_INTERRUPT_LOCK_DECLARE()``, ``RTEMS_INTERRUPT_LOCK_DEFINE()``,
``RTEMS_INTERRUPT_LOCK_MEMBER()``, and ``RTEMS_INTERRUPT_LOCK_REFERENCE()``
macros are provided to ensure ABI compatibility.

Highest Priority Task Assumption
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

On a uniprocessor system, it is safe to assume that when the highest priority
task in an application executes, it will execute without being preempted until
it voluntarily blocks. Interrupts may occur while it is executing, but there
will be no context switch to another task unless the highest priority task
voluntarily initiates it.

Given the assumption that no other tasks will have their execution interleaved
with the highest priority task, it is possible for this task to be constructed
such that it does not need to acquire a binary semaphore or mutex for protected
access to shared data.

In an SMP system, it cannot be assumed there will never be a single task
executing. It should be assumed that every processor is executing another
application task. Further, those tasks will be ones which would not have been
executed in a uniprocessor configuration and should be assumed to have data
synchronization conflicts with what was formerly the highest priority task
which executed without conflict.

Disable Preemption
~~~~~~~~~~~~~~~~~~

On a uniprocessor system, disabling preemption in a task is very similar to
making the highest priority task assumption. While preemption is disabled, no
task context switches will occur unless the task initiates them
voluntarily. And, just as with the highest priority task assumption, there are
N-1 processors also running tasks. Thus the assumption that no other tasks will
run while the task has preemption disabled is violated.

Task Unique Data and SMP
------------------------

Per task variables are a service commonly provided by real-time operating
systems for application use. They work by allowing the application to specify a
location in memory (typically a ``void *``) which is logically added to the
context of a task. On each task switch, the location in memory is stored and
each task can have a unique value in the same memory location. This memory
location is directly accessed as a variable in a program.

This works well in a uniprocessor environment because there is one task
executing and one memory location containing a task-specific value. But it is
fundamentally broken on an SMP system because there are always N tasks
executing. With only one location in memory, N-1 tasks will not have the
correct value.

This paradigm for providing task unique data values is fundamentally broken on
SMP systems.

Classic API Per Task Variables
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The Classic API provides three directives to support per task variables. These are:

- ``rtems_task_variable_add`` - Associate per task variable

- ``rtems_task_variable_get`` - Obtain value of a a per task variable

- ``rtems_task_variable_delete`` - Remove per task variable

As task variables are unsafe for use on SMP systems, the use of these services
must be eliminated in all software that is to be used in an SMP environment.
The task variables API is disabled on SMP. Its use will lead to compile-time
and link-time errors. It is recommended that the application developer consider
the use of POSIX Keys or Thread Local Storage (TLS). POSIX Keys are available
in all RTEMS configurations.  For the availablity of TLS on a particular
architecture please consult the *RTEMS CPU Architecture Supplement*.

The only remaining user of task variables in the RTEMS code base is the Ada
support.  So basically Ada is not available on RTEMS SMP.

OpenMP
------

OpenMP support for RTEMS is available via the GCC provided libgomp.  There is
libgomp support for RTEMS in the POSIX configuration of libgomp since GCC 4.9
(requires a Newlib snapshot after 2015-03-12). In GCC 6.1 or later (requires a
Newlib snapshot after 2015-07-30 for <sys/lock.h> provided self-contained
synchronization objects) there is a specialized libgomp configuration for RTEMS
which offers a significantly better performance compared to the POSIX
configuration of libgomp.  In addition application configurable thread pools
for each scheduler instance are available in GCC 6.1 or later.

The run-time configuration of libgomp is done via environment variables
documented in the `libgomp manual <https://gcc.gnu.org/onlinedocs/libgomp/>`_.
The environment variables are evaluated in a constructor function which
executes in the context of the first initialization task before the actual
initialization task function is called (just like a global C++ constructor).
To set application specific values, a higher priority constructor function must
be used to set up the environment variables.

.. code-block:: c

    #include <stdlib.h>
    void __attribute__((constructor(1000))) config_libgomp( void )
    {
        setenv( "OMP_DISPLAY_ENV", "VERBOSE", 1 );
        setenv( "GOMP_SPINCOUNT", "30000", 1 );
        setenv( "GOMP_RTEMS_THREAD_POOLS", "1$2@SCHD", 1 );
    }

The environment variable ``GOMP_RTEMS_THREAD_POOLS`` is RTEMS-specific.  It
determines the thread pools for each scheduler instance.  The format for
``GOMP_RTEMS_THREAD_POOLS`` is a list of optional
``<thread-pool-count>[$<priority>]@<scheduler-name>`` configurations separated
by ``:`` where:

- ``<thread-pool-count>`` is the thread pool count for this scheduler instance.

- ``$<priority>`` is an optional priority for the worker threads of a thread
  pool according to ``pthread_setschedparam``.  In case a priority value is
  omitted, then a worker thread will inherit the priority of the OpenMP master
  thread that created it.  The priority of the worker thread is not changed by
  libgomp after creation, even if a new OpenMP master thread using the worker
  has a different priority.

- ``@<scheduler-name>`` is the scheduler instance name according to the RTEMS
  application configuration.

In case no thread pool configuration is specified for a scheduler instance,
then each OpenMP master thread of this scheduler instance will use its own
dynamically allocated thread pool.  To limit the worker thread count of the
thread pools, each OpenMP master thread must call ``omp_set_num_threads``.

Lets suppose we have three scheduler instances ``IO``, ``WRK0``, and ``WRK1``
with ``GOMP_RTEMS_THREAD_POOLS`` set to ``"1@WRK0:3$4@WRK1"``.  Then there are
no thread pool restrictions for scheduler instance ``IO``.  In the scheduler
instance ``WRK0`` there is one thread pool available.  Since no priority is
specified for this scheduler instance, the worker thread inherits the priority
of the OpenMP master thread that created it.  In the scheduler instance
``WRK1`` there are three thread pools available and their worker threads run at
priority four.

Thread Dispatch Details
-----------------------

This section gives background information to developers interested in the
interrupt latencies introduced by thread dispatching.  A thread dispatch
consists of all work which must be done to stop the currently executing thread
on a processor and hand over this processor to an heir thread.

In SMP systems, scheduling decisions on one processor must be propagated
to other processors through inter-processor interrupts.  A thread dispatch
which must be carried out on another processor does not happen instantaneously.
Thus, several thread dispatch requests might be in the air and it is possible
that some of them may be out of date before the corresponding processor has
time to deal with them.  The thread dispatch mechanism uses three per-processor
variables,

- the executing thread,

- the heir thread, and

- a boolean flag indicating if a thread dispatch is necessary or not.

Updates of the heir thread are done via a normal store operation.  The thread
dispatch necessary indicator of another processor is set as a side-effect of an
inter-processor interrupt.  So, this change notification works without the use
of locks.  The thread context is protected by a TTAS lock embedded in the
context to ensure that it is used on at most one processor at a time.
Normally, only thread-specific or per-processor locks are used during a thread
dispatch.  This implementation turned out to be quite efficient and no lock
contention was observed in the testsuite.  The heavy-weight thread dispatch
sequence is only entered in case the thread dispatch indicator is set.

The context-switch is performed with interrupts enabled.  During the transition
from the executing to the heir thread neither the stack of the executing nor
the heir thread must be used during interrupt processing.  For this purpose a
temporary per-processor stack is set up which may be used by the interrupt
prologue before the stack is switched to the interrupt stack.

Directives
==========

This section details the symmetric multiprocessing services.  A subsection is
dedicated to each of these services and describes the calling sequence, related
constants, usage, and status codes.

.. raw:: latex

   \clearpage

.. _rtems_get_processor_count:

GET_PROCESSOR_COUNT - Get processor count
-----------------------------------------

CALLING SEQUENCE:
    .. code-block:: c

        uint32_t rtems_get_processor_count(void);

DIRECTIVE STATUS CODES:
    The count of processors in the system.

DESCRIPTION:
    On uni-processor configurations a value of one will be returned.

    On SMP configurations this returns the value of a global variable set
    during system initialization to indicate the count of utilized processors.
    The processor count depends on the physically or virtually available
    processors and application configuration.  The value will always be less
    than or equal to the maximum count of application configured processors.

NOTES:
    None.

.. raw:: latex

   \clearpage

.. _rtems_get_current_processor:

GET_CURRENT_PROCESSOR - Get current processor index
---------------------------------------------------

CALLING SEQUENCE:
    .. code-block:: c

        uint32_t rtems_get_current_processor(void);

DIRECTIVE STATUS CODES:
    The index of the current processor.

DESCRIPTION:
    On uni-processor configurations a value of zero will be returned.

    On SMP configurations an architecture specific method is used to obtain the
    index of the current processor in the system.  The set of processor indices
    is the range of integers starting with zero up to the processor count minus
    one.

    Outside of sections with disabled thread dispatching the current processor
    index may change after every instruction since the thread may migrate from
    one processor to another.  Sections with disabled interrupts are sections
    with thread dispatching disabled.

NOTES:
    None.

.. raw:: latex

   \clearpage

.. _rtems_scheduler_ident:

SCHEDULER_IDENT - Get ID of a scheduler
---------------------------------------

CALLING SEQUENCE:
    .. code-block:: c

        rtems_status_code rtems_scheduler_ident(
            rtems_name  name,
            rtems_id   *id
        );

DIRECTIVE STATUS CODES:
    .. list-table::
     :class: rtems-table

     * - ``RTEMS_SUCCESSFUL``
       - Successful operation.
     * - ``RTEMS_INVALID_ADDRESS``
       - The ``id`` parameter is ``NULL``.
     * - ``RTEMS_INVALID_NAME``
       - Invalid scheduler name.

DESCRIPTION:
    Identifies a scheduler by its name.  The scheduler name is determined by
    the scheduler configuration.  See :ref:`Configuring Clustered Schedulers`
    and :ref:`Configuring a Scheduler Name`.

NOTES:
    None.

.. raw:: latex

   \clearpage

.. _rtems_scheduler_get_processor_set:

SCHEDULER_GET_PROCESSOR_SET - Get processor set of a scheduler
--------------------------------------------------------------

CALLING SEQUENCE:
    .. code-block:: c

        rtems_status_code rtems_scheduler_get_processor_set(
            rtems_id   scheduler_id,
            size_t     cpusetsize,
            cpu_set_t *cpuset
        );

DIRECTIVE STATUS CODES:
    .. list-table::
     :class: rtems-table

     * - ``RTEMS_SUCCESSFUL``
       - Successful operation.
     * - ``RTEMS_INVALID_ID``
       - Invalid scheduler instance identifier.
     * - ``RTEMS_INVALID_ADDRESS``
       - The ``cpuset`` parameter is ``NULL``.
     * - ``RTEMS_INVALID_NUMBER``
       - The processor set buffer is too small for the set of processors owned
         by the scheduler instance.

DESCRIPTION:
    Returns the processor set owned by the scheduler instance in ``cpuset``.  A
    set bit in the processor set means that this processor is owned by the
    scheduler instance and a cleared bit means the opposite.

NOTES:
    None.

.. raw:: latex

   \clearpage

.. _rtems_scheduler_add_processor:

SCHEDULER_ADD_PROCESSOR - Add processor to a scheduler
------------------------------------------------------

CALLING SEQUENCE:
    .. code-block:: c

        rtems_status_code rtems_scheduler_add_processor(
            rtems_id scheduler_id,
            uint32_t cpu_index
        );

DIRECTIVE STATUS CODES:
    .. list-table::
     :class: rtems-table

     * - ``RTEMS_SUCCESSFUL``
       - Successful operation.
     * - ``RTEMS_INVALID_ID``
       - Invalid scheduler instance identifier.
     * - ``RTEMS_NOT_CONFIGURED``
       - The processor is not configured to be used by the application.
     * - ``RTEMS_INCORRECT_STATE``
       - The processor is configured to be used by the application, however, it
         is not online.
     * - ``RTEMS_RESOURCE_IN_USE``
       - The processor is already assigned to a scheduler instance.

DESCRIPTION:
    Adds a processor to the set of processors owned by the specified scheduler
    instance.

NOTES:
    Must be called from task context.  This operation obtains and releases the
    objects allocator lock.

.. raw:: latex

   \clearpage

.. _rtems_scheduler_remove_processor:

SCHEDULER_REMOVE_PROCESSOR - Remove processor from a scheduler
--------------------------------------------------------------

CALLING SEQUENCE:
    .. code-block:: c

        rtems_status_code rtems_scheduler_remove_processor(
            rtems_id scheduler_id,
            uint32_t cpu_index
        );

DIRECTIVE STATUS CODES:
    .. list-table::
     :class: rtems-table

     * - ``RTEMS_SUCCESSFUL``
       - Successful operation.
     * - ``RTEMS_INVALID_ID``
       - Invalid scheduler instance identifier.
     * - ``RTEMS_INVALID_NUMBER``
       - The processor is not owned by the specified scheduler instance.
     * - ``RTEMS_RESOURCE_IN_USE``
       - The set of processors owned by the specified scheduler instance would
         be empty after the processor removal and there exists a non-idle task
         that uses this scheduler instance as its home scheduler instance.

DESCRIPTION:
    Removes a processor from set of processors owned by the specified scheduler
    instance.

NOTES:
    Must be called from task context.  This operation obtains and releases the
    objects allocator lock.  Removing a processor from a scheduler is a complex
    operation that involves all tasks of the system.