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HPC resource integration into CMS Computing via HEPCloud

The higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run3, it becomes clear that simply scaling up the the current model of CMS computing...

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Detalles Bibliográficos
Autores principales: Hufnagel, Dirk, Holzman, Burt, Mason, David, Mhashilkar, Parag, Timm, Steven, Tiradani, Anthony, Khan, Farrukh Aftab, Gutsche, Oliver, Bloom, Kenneth
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921403031
http://cds.cern.ch/record/2647109
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author Hufnagel, Dirk
Holzman, Burt
Mason, David
Mhashilkar, Parag
Timm, Steven
Tiradani, Anthony
Khan, Farrukh Aftab
Gutsche, Oliver
Bloom, Kenneth
author_facet Hufnagel, Dirk
Holzman, Burt
Mason, David
Mhashilkar, Parag
Timm, Steven
Tiradani, Anthony
Khan, Farrukh Aftab
Gutsche, Oliver
Bloom, Kenneth
author_sort Hufnagel, Dirk
collection CERN
description The higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run3, it becomes clear that simply scaling up the the current model of CMS computing alone will become economically unfeasible. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, have the potential to help fill the gap. Here we describe the U.S.CMS efforts to integrate US HPC resources into CMS Computing via the HEPCloud project at Fermilab. We present advancements in our ability to use NERSC resources at scale and efforts to integrate other HPC sites as well. We present experience in the elastic use of HPC resources, quickly scaling up use when so required by CMS workflows. We also present performance studies of the CMS multi-threaded framework on both Haswell and KNL HPC resources.
id cern-2647109
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
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spelling cern-26471092022-08-10T12:24:29Zdoi:10.1051/epjconf/201921403031http://cds.cern.ch/record/2647109engHufnagel, DirkHolzman, BurtMason, DavidMhashilkar, ParagTimm, StevenTiradani, AnthonyKhan, Farrukh AftabGutsche, OliverBloom, KennethHPC resource integration into CMS Computing via HEPCloudDetectors and Experimental TechniquesThe higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run3, it becomes clear that simply scaling up the the current model of CMS computing alone will become economically unfeasible. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, have the potential to help fill the gap. Here we describe the U.S.CMS efforts to integrate US HPC resources into CMS Computing via the HEPCloud project at Fermilab. We present advancements in our ability to use NERSC resources at scale and efforts to integrate other HPC sites as well. We present experience in the elastic use of HPC resources, quickly scaling up use when so required by CMS workflows. We also present performance studies of the CMS multi-threaded framework on both Haswell and KNL HPC resources.CMS-CR-2018-283FERMILAB-CONF-18-630-CDoai:cds.cern.ch:26471092018-10-16
spellingShingle Detectors and Experimental Techniques
Hufnagel, Dirk
Holzman, Burt
Mason, David
Mhashilkar, Parag
Timm, Steven
Tiradani, Anthony
Khan, Farrukh Aftab
Gutsche, Oliver
Bloom, Kenneth
HPC resource integration into CMS Computing via HEPCloud
title HPC resource integration into CMS Computing via HEPCloud
title_full HPC resource integration into CMS Computing via HEPCloud
title_fullStr HPC resource integration into CMS Computing via HEPCloud
title_full_unstemmed HPC resource integration into CMS Computing via HEPCloud
title_short HPC resource integration into CMS Computing via HEPCloud
title_sort hpc resource integration into cms computing via hepcloud
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1051/epjconf/201921403031
http://cds.cern.ch/record/2647109
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