Numa Policy Support

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NUMA Memory Policy — The Linux Kernel documentation

    https://www.kernel.org/doc/html/latest/admin-guide/mm/numa_memory_policy.html
    A NUMA memory policy consists of a "mode", optional mode flags, and an optional set of nodes. The mode determines the behavior of the policy, the optional mode flags determine the behavior of the mode, and the optional set of nodes can be viewed as the arguments to the policy behavior.

GitHub - numactl/numactl: NUMA support for Linux

    https://github.com/numactl/numactl
    Aug 05, 2014 · Simple NUMA policy support. It consists of a numactl program to run other programs with a specific NUMA policy and a libnuma shared library ("NUMA API") to set NUMA policy in applications. The libnuma binary interface is supposed to stay binary compatible. Incompatible changes will use new symbol version numbers.

FreshPorts -- sysutils/linux-c7-numactl-libs: Simple NUMA ...

    https://www.freshports.org/sysutils/linux-c7-numactl-libs/
    linux-c7-numactl-libs Simple NUMA policy support (CentOS 7.7.1908) 2.0.12 sysutils =0 Version of this port present on the latest ... Description: Simple NUMA policy support. It consists of a numactl program to run other programs with a specific NUMA policy and a libnuma shared library ("NUMA API") to set NUMA policy in applications. WWW ...

numa(7) - Linux manual page

    http://man7.org/linux/man-pages/man7/numa.7.html
    However, applications should normally use the interface provided by libnuma; see "Library Support" below. /proc/[number]/numa_maps (since Linux 2.6.14) This file displays information about a process's NUMA memory policy and allocation. Each line contains information about a memory range used by the process, displaying—among other information ...

numactl – Freecode

    http://freshmeat.sourceforge.net/projects/numactl
    numactl implements simple NUMA policy support. A NUMA policy allows you to tune programs by controlling the placement of memory in NUMA (Non Uniform Memory Access) systems. The numactl program runs other programs with a specific NUMA policy, and the libnuma shared library ("NUMA API") can be used to set NUMA policy in applications.

How to find if NUMA configuration is enabled or disabled ...

    https://www.thegeekdiary.com/centos-rhel-how-to-find-if-numa-configuration-is-enabled-or-disabled/
    Non-Uniform Memory Access or Non-Uniform Memory Architecture (NUMA) is a physical memory design used in SMP (multiprocessors) architecture, where the memory access time depends on the memory location relative to a processor. Under NUMA, a processor can access its own local memory faster than non-local memory, that is, memory local to another processor or memory shared between …

Can someone explain how NUMA is not always best for multi ...

    https://software.intel.com/en-us/forums/software-tuning-performance-optimization-platform-monitoring/topic/392519
    Another way to think about this is to say that there exist workloads for which the default (NUMA-aware) OS policy for placement of threads and data gives worse performance than what is obtained with random placement of threads and data.

How to determine if NUMA configuration is enabled or ...

    https://access.redhat.com/solutions/48756
    Your Red Hat account gives you access to your profile, preferences, and services, depending on your status. Register If you are a new customer, register now for …

OpenStack Docs: CPU topologies

    https://docs.openstack.org/nova/pike/admin/cpu-topologies.html
    Non-uniform memory access (NUMA) NUMA is a derivative of the SMP design that is found in many multi-socket systems. In a NUMA system, system memory is divided into cells or nodes that are associated with particular CPUs. Requests for memory on other nodes are possible through an interconnect bus. However, bandwidth across this shared bus is limited.

Non-uniform memory access - Wikipedia

    https://en.wikipedia.org/wiki/Non-uniform_memory_access
    Support for NUMA in operating systems attempts to reduce the frequency of this kind of access by allocating processors and memory in NUMA-friendly ways and by avoiding scheduling and locking algorithms that make NUMA-unfriendly accesses necessary.



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