Applications/Hwloc - Revision history

Pysdlb at 13:20, 13 October 2022

2022-10-13T13:20:00Z

Pysdlb at 12:51, 24 May 2019

2019-05-24T12:51:37Z

Pysdlb: Pysdlb moved page Hwloc to Applications/Hwloc without leaving a redirect

2017-04-18T14:28:59Z

Pysdlb moved page Hwloc to Applications/Hwloc without leaving a redirect

Pysdlb at 14:27, 18 April 2017

2017-04-18T14:27:14Z

Pysdlb: Created page with "TOC ==Application Details== *Description: hwloc primarily aims at helping applications with gathering information about increasingly complex parallel computing platforms..."

2017-04-18T14:25:35Z

Created page with "__TOC__ ==Application Details== *Description: hwloc primarily aims at helping applications with gathering information about increasingly complex parallel computing platforms..."

New page

__TOC__

==Application Details==
*Description: hwloc primarily aims at helping applications with gathering information about increasingly complex parallel computing platforms so as to exploit them accordingly and efficiently.
*Version: 1.9.1
*Module: hwloc/1.9.1
*Licence: Public Interest non-profit organization.

==Usage Examples==

The Portable Hardware Locality (hwloc) software package provides a portable abstraction (on Viper) of the hierarchical topology of modern architectures, including NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various system attributes such as cache and memory information as well as the locality of I/O devices such as network interfaces, InfiniBand HCAs or GPUs.

===Module===

<pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
[username@login01 ~]$ module add hwloc/1.9.1
</pre>

===Description===

hwloc provides command line tools and a C API to obtain the hierarchical map of key computing elements, such as: NUMA memory nodes, shared caches, processor packages, processor cores, processing units (logical processors or "threads") and even I/O devices. hwloc also gathers various attributes such as cache and memory information, and is portable across a variety of different operating systems and platforms. Additionally it may assemble the topologies of multiple machines into a single one so as to let applications consult the topology of an entire fabric or cluster at once.

hwloc primarily aims at helping high-performance computing (HPC) applications, but is also applicable to any project seeking to exploit code and/or data locality on modern computing platforms.

Source https://www.open-mpi.org/projects/hwloc/

==Further Information==

* [https://www.open-mpi.org/projects/hwloc/ https://www.open-mpi.org/projects/hwloc/]

{|
|style="width:5%; border-width: 0" | [[File:icon_home.png]]
|style="width:95%; border-width: 0" |
* [[Main_Page|Home]]
* [[Applications|Application support]]
* [[General|General]]
* [[Training|Training]]
* [[Programming|Programming support]]
|-
|}

@@ Line 19: / Line 19: @@
 ===Description===
-hwloc provides command line tools and a C API to obtain the hierarchical map of key computing elements, such as: NUMA memory nodes, shared caches, processor packages, processor cores, processing units (logical processors or "threads") and even I/O devices. hwloc also gathers various attributes such as cache and memory information, and is portable across a variety of different operating systems and platforms. Additionally it may assemble the topologies of multiple machines into a single one so as to let applications consult the topology of an entire fabric or cluster at once.
+hwloc provides command line tools and a C API to obtain the hierarchical map of key computing elements, such as NUMA memory nodes, shared caches, processor packages, processor cores, processing units (logical processors or "threads") and even I/O devices. hwloc also gathers various attributes such as cache and memory information and is portable across a variety of different operating systems and platforms. Additionally, it may assemble the topologies of multiple machines into a single one so as to let applications consult the topology of an entire fabric or cluster at once.
-hwloc primarily aims at helping high-performance computing (HPC) applications, but is also applicable to any project seeking to exploit code and/or data locality on modern computing platforms.
+hwloc primarily aims at helping high-performance computing (HPC) applications but is also applicable to any project seeking to exploit code and/or data locality on modern computing platforms.
 Source https://www.open-mpi.org/projects/hwloc/

@@ Line 30: / Line 30: @@
 * [https://www.open-mpi.org/projects/hwloc/ https://www.open-mpi.org/projects/hwloc/]
-{|
-|style="width:5%; border-width: 0" | [[File:icon_home.png]]
+==Navigation==
-|style="width:95%; border-width: 0" |
 * [[Main_Page|Home]]
-* [[Applications|Application support]]
+* [[Applications|Application support]] *
 * [[General|General]]
 * [[Programming|Programming support]]

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