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Merge "Explain system host-cpu-modify behaviour (r8, dsr8MR3, dsr8MR2+,r9 )"

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doc/source/node_management/kubernetes/configuring_cpu_core_assignments/configuring-cpu-core-assignments-using-cli-96ee12bdfc83.rst Normal file
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.. _configuring-cpu-core-assignments-using-cli-96ee12bdfc83:
==========================================
Configuring CPU Core Assignments Using CLI
==========================================
You can improve the performance and capacity of specific functions by assigning
more CPU cores using the following command:
.. code-block:: none
[sysadmin@controller-0 ~(keystone_admin)]$ system host-cpu-modify [--nowrap] -f <function> [-c <cpulist>] [-p0 <num_cores_on_processor0>] [-p1 <num_cores_on_processor1>] [-p2 <num_cores_on_processor2>] [-p3 <num_cores_on_processor3>] <hostnameorid>
``function``
Use this command with the ``-f`` argument, which specifies the function, such
as **platform** and **application-isolated** whose core count is to be modified.
.. note::
Any core that is not specified as one of these functions will be considered
as an application core.
**Platform**
You can reserve one or more cores per |NUMA| node for platform use.
One core on each host is required to run the operating system and
associated services. For a combined controller and worker node in a
|prod| |AIO-SX| or |AIO-DX| configuration, two cores are required.
The ability to assign platform cores to specific |NUMA| nodes offers
increased flexibility for high-performance configurations. For example, you
can dedicate certain |NUMA| nodes for platform use such that other |NUMA|
nodes that service |IRQ| requests are available for the containers (hosted
applications) that require high-performance |IRQ| servicing.
.. note::
If you plan on running the |prefix|-openstack application on an
|AIO-SX| or |AIO-DX| deployment, at least 4 platform cores are required
for adequate Horizon Web Interface and CLI performance and 6 platform
cores are recommended.
**Application-isolated**
You can isolate a core from the host process scheduler by specifying the
**application-isolated** function. This minimizes interruptions by other tasks to ensure
more predictable latency.
.. note::
The tasks on the isolated cores will not be automatically load-balanced
by the Linux task scheduler. Thus, it is up to the application to affine
tasks appropriately.
``cpulist``
Use this option with the ``-c`` argument. This option specifies an explicit list of CPUs.
.. note::
Only one CPU function can be specified with the ``-c`` option. The ``c`` option
must be used in the final call to :command:`system host-cpu-modify`. Unlike specifying
by core counts, when using the ``-c`` option, sysinv will not automatically add
in any unspecified |SMT| hyperthreads if the host has hyperthreading enabled.
It is up to the caller to ensure that all sibling threads are included in the CPU list.
``num_cores_on_processor``
Use this option with the ``-pX`` argument where ``X`` represents the NUMA
node whose count you want to modify. Multiple unique ``-pX`` arguments may be
specified, with a core count for each NUMA node.
``hostnameorid``
This is the name or ID of a host.

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doc/source/node_management/kubernetes/configuring_cpu_core_assignments/configuring-cpu-core-assignments.rst
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.. epz1565872908287
.. _configuring-cpu-core-assignments:
==============================
Configure CPU Core Assignments
==============================
============================================
Configure CPU Core Assignments Using Horizon
============================================
You can improve the performance and capacity of specific functions by assigning
them more CPU cores from the Horizon Web interface.

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doc/source/node_management/kubernetes/index-node-mgmt-kub-5ff5993b9c60.rst
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@ -96,6 +96,7 @@ Configuring CPU core behaviour
:maxdepth: 1
configuring_cpu_core_assignments/configuring-cpu-core-assignments
configuring_cpu_core_assignments/configuring-cpu-core-assignments-using-cli-96ee12bdfc83
configuring_cpu_core_assignments/changing-the-hyper-threading-status
host-cpu-mhz-parameters-configuration-d9ccf907ede0
single-physical-core-for-platform-function-in-all-in-one-deployments-bec61d5a13f4