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CMS use of allocation based HPC resources

The higher energy and luminosity from the LHC in Run2 has put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) in Run3 and beyond, it becomes clear the current model of CMS computing alone will not scale a...

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Detalles Bibliográficos
Autor principal: Hufnagel, Dirk
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/9/092050
http://cds.cern.ch/record/2298173
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author Hufnagel, Dirk
author_facet Hufnagel, Dirk
author_sort Hufnagel, Dirk
collection CERN
description The higher energy and luminosity from the LHC in Run2 has put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) in Run3 and beyond, it becomes clear the current model of CMS computing alone will not scale accordingly. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, present a (at least so far) largely untapped computing resource for CMS. Even just being able use a small fraction of HPC facilities computing resources could significantly increase the overall computing available to CMS. Here we describe the CMS strategy for integrating HPC resources into CMS computing, the unique challenges these facilities present, and how we plan on overcoming these challenges. We also present the current status of ongoing CMS efforts at HPC sites such as NERSC (Cori cluster), SDSC (Comet cluster) and TACC (Stampede cluster).
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling oai-inspirehep.net-16382192021-02-09T10:05:19Zdoi:10.1088/1742-6596/898/9/092050http://cds.cern.ch/record/2298173engHufnagel, DirkCMS use of allocation based HPC resourcesComputing and ComputersThe higher energy and luminosity from the LHC in Run2 has put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) in Run3 and beyond, it becomes clear the current model of CMS computing alone will not scale accordingly. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, present a (at least so far) largely untapped computing resource for CMS. Even just being able use a small fraction of HPC facilities computing resources could significantly increase the overall computing available to CMS. Here we describe the CMS strategy for integrating HPC resources into CMS computing, the unique challenges these facilities present, and how we plan on overcoming these challenges. We also present the current status of ongoing CMS efforts at HPC sites such as NERSC (Cori cluster), SDSC (Comet cluster) and TACC (Stampede cluster).oai:inspirehep.net:16382192017
spellingShingle Computing and Computers
Hufnagel, Dirk
CMS use of allocation based HPC resources
title CMS use of allocation based HPC resources
title_full CMS use of allocation based HPC resources
title_fullStr CMS use of allocation based HPC resources
title_full_unstemmed CMS use of allocation based HPC resources
title_short CMS use of allocation based HPC resources
title_sort cms use of allocation based hpc resources
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/898/9/092050
http://cds.cern.ch/record/2298173
work_keys_str_mv AT hufnageldirk cmsuseofallocationbasedhpcresources