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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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Lenguaje: | eng |
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2017
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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). |
id | oai-inspirehep.net-1638219 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
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 |