Translations:National systems/3/en: Difference between revisions

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All ''general-purpose'' systems are similar with some differences in interconnect and the number of small memory, large memory and GPU nodes. Niagara is a different system and is designed for ''large parallel'' jobs.
A ''general-purpose'' cluster is designed to support a wide variety of types of jobs, and is composed of a mixture of different nodes.  We broadly classify the nodes as:
* ''base'' nodes, containing typically about 4GB of memory per core;
* ''large-memory'' nodes, containing typically more than 8GB memory per core;
* ''GPU'' nodes, which contain [https://en.wikipedia.org/wiki/Graphics_processing_unit graphic processing units].

Latest revision as of 20:15, 1 April 2022

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Message definition (National systems)
A ''general-purpose'' cluster is designed to support a wide variety of types of jobs, and is composed of a mixture of different nodes.  We broadly classify the nodes as:
* ''base'' nodes, containing typically about 4GB of memory per core;
* ''large-memory'' nodes, containing typically more than 8GB memory per core;
* ''GPU'' nodes, which contain [https://en.wikipedia.org/wiki/Graphics_processing_unit graphic processing units].

A general-purpose cluster is designed to support a wide variety of types of jobs, and is composed of a mixture of different nodes. We broadly classify the nodes as:

  • base nodes, containing typically about 4GB of memory per core;
  • large-memory nodes, containing typically more than 8GB memory per core;
  • GPU nodes, which contain graphic processing units.
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