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Performance of space charge simulations using High Performance Computing (HPC) cluster
In 2016 a collaboration agreement between CERN and Istituto Nazionale di Fisica Nucleare (INFN) through its Centro Nazionale Analisi Fotogrammi (CNAF, Bologna) was signed [1], which foresaw the purchase and installation of a cluster of 20 nodes with 32 cores each, connected with InfiniBand, at CNAF...
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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2276464 |
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author | Bartosik, Hannes Rumolo, Giovanni |
author_facet | Bartosik, Hannes Rumolo, Giovanni |
author_sort | Bartosik, Hannes |
collection | CERN |
description | In 2016 a collaboration agreement between CERN and Istituto Nazionale di Fisica Nucleare (INFN) through its Centro Nazionale Analisi Fotogrammi (CNAF, Bologna) was signed [1], which foresaw the purchase and installation of a cluster of 20 nodes with 32 cores each, connected with InfiniBand, at CNAF for the use of CERN members to develop parallelized codes as well as conduct massive simulation campaigns with the already available parallelized tools. As outlined in [1], after the installation and the set up of the first 12 nodes, the green light to proceed with the procurement and installation of the next 8 nodes can be given only after successfully passing an acceptance test based on two specific benchmark runs. This condition is necessary to consider the first batch of the cluster operational and complying with the desired performance specifications. In this brief note, we report the results of the above mentioned acceptance test. |
id | cern-2276464 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22764642019-09-30T06:29:59Zhttp://cds.cern.ch/record/2276464engBartosik, HannesRumolo, GiovanniPerformance of space charge simulations using High Performance Computing (HPC) clusterComputing and ComputersAccelerators and Storage RingsIn 2016 a collaboration agreement between CERN and Istituto Nazionale di Fisica Nucleare (INFN) through its Centro Nazionale Analisi Fotogrammi (CNAF, Bologna) was signed [1], which foresaw the purchase and installation of a cluster of 20 nodes with 32 cores each, connected with InfiniBand, at CNAF for the use of CERN members to develop parallelized codes as well as conduct massive simulation campaigns with the already available parallelized tools. As outlined in [1], after the installation and the set up of the first 12 nodes, the green light to proceed with the procurement and installation of the next 8 nodes can be given only after successfully passing an acceptance test based on two specific benchmark runs. This condition is necessary to consider the first batch of the cluster operational and complying with the desired performance specifications. In this brief note, we report the results of the above mentioned acceptance test.CERN-ACC-NOTE-2017-0048oai:cds.cern.ch:22764642017-08-01 |
spellingShingle | Computing and Computers Accelerators and Storage Rings Bartosik, Hannes Rumolo, Giovanni Performance of space charge simulations using High Performance Computing (HPC) cluster |
title | Performance of space charge simulations using High Performance Computing (HPC) cluster |
title_full | Performance of space charge simulations using High Performance Computing (HPC) cluster |
title_fullStr | Performance of space charge simulations using High Performance Computing (HPC) cluster |
title_full_unstemmed | Performance of space charge simulations using High Performance Computing (HPC) cluster |
title_short | Performance of space charge simulations using High Performance Computing (HPC) cluster |
title_sort | performance of space charge simulations using high performance computing (hpc) cluster |
topic | Computing and Computers Accelerators and Storage Rings |
url | http://cds.cern.ch/record/2276464 |
work_keys_str_mv | AT bartosikhannes performanceofspacechargesimulationsusinghighperformancecomputinghpccluster AT rumologiovanni performanceofspacechargesimulationsusinghighperformancecomputinghpccluster |