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Extending the distributed computing infrastructure of the CMS experiment with HPC resources

Particle accelerators are an important tool to study the fundamental properties of elementary particles. Currently the highest energy accelerator is the LHC at CERN, in Geneva, Switzerland. Each of its four major detectors, such as the CMS detector, produces dozens of Petabytes of data per year to b...

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Detalles Bibliográficos
Autores principales: Adelman-McCarthy, J, Boccali, T, Caspart, R, Delgado Peris, A, Fischer, M, Flix Molina, J, Giffels, M, Hernández, J M, Hufnagel, D, Kühn, E, Madlener, T, Mohapatra, A K, Ozturk, H, Pérez-Calero Yzquierdo, A, Spiga, D, Wissing, C
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012039
http://cds.cern.ch/record/2871826
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author Adelman-McCarthy, J
Boccali, T
Caspart, R
Delgado Peris, A
Fischer, M
Flix Molina, J
Giffels, M
Hernández, J M
Hufnagel, D
Kühn, E
Madlener, T
Mohapatra, A K
Ozturk, H
Pérez-Calero Yzquierdo, A
Spiga, D
Wissing, C
author_facet Adelman-McCarthy, J
Boccali, T
Caspart, R
Delgado Peris, A
Fischer, M
Flix Molina, J
Giffels, M
Hernández, J M
Hufnagel, D
Kühn, E
Madlener, T
Mohapatra, A K
Ozturk, H
Pérez-Calero Yzquierdo, A
Spiga, D
Wissing, C
author_sort Adelman-McCarthy, J
collection CERN
description Particle accelerators are an important tool to study the fundamental properties of elementary particles. Currently the highest energy accelerator is the LHC at CERN, in Geneva, Switzerland. Each of its four major detectors, such as the CMS detector, produces dozens of Petabytes of data per year to be analyzed by a large international collaboration. The processing is carried out on the Worldwide LHC Computing Grid, that spans over more than 170 compute centers around the world and is used by a number of particle physics experiments. Recently the LHC experiments were encouraged to make increasing use of HPC resources. While Grid resources are homogeneous with respect to the used Grid middleware, HPC installations can be very different in their setup. In order to integrate HPC resources into the highly automatized processing setups of the CMS experiment a number of challenges need to be addressed. For processing, access to primary data and metadata as well as access to the software is required. At Grid sites all this is achieved via a number of services that are provided by each center. However at HPC sites many of these capabilities cannot be easily provided and have to be enabled in the user space or enabled by other means. At HPC centers there are often restrictions regarding network access to remote services, which is again a severe limitation. The paper discusses a number of solutions and recent experiences by the CMS experiment to include HPC resources in processing campaigns.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28718262023-09-20T21:01:04Zdoi:10.1088/1742-6596/2438/1/012039http://cds.cern.ch/record/2871826engAdelman-McCarthy, JBoccali, TCaspart, RDelgado Peris, AFischer, MFlix Molina, JGiffels, MHernández, J MHufnagel, DKühn, EMadlener, TMohapatra, A KOzturk, HPérez-Calero Yzquierdo, ASpiga, DWissing, CExtending the distributed computing infrastructure of the CMS experiment with HPC resourcesComputing and ComputersParticle Physics - ExperimentParticle accelerators are an important tool to study the fundamental properties of elementary particles. Currently the highest energy accelerator is the LHC at CERN, in Geneva, Switzerland. Each of its four major detectors, such as the CMS detector, produces dozens of Petabytes of data per year to be analyzed by a large international collaboration. The processing is carried out on the Worldwide LHC Computing Grid, that spans over more than 170 compute centers around the world and is used by a number of particle physics experiments. Recently the LHC experiments were encouraged to make increasing use of HPC resources. While Grid resources are homogeneous with respect to the used Grid middleware, HPC installations can be very different in their setup. In order to integrate HPC resources into the highly automatized processing setups of the CMS experiment a number of challenges need to be addressed. For processing, access to primary data and metadata as well as access to the software is required. At Grid sites all this is achieved via a number of services that are provided by each center. However at HPC sites many of these capabilities cannot be easily provided and have to be enabled in the user space or enabled by other means. At HPC centers there are often restrictions regarding network access to remote services, which is again a severe limitation. The paper discusses a number of solutions and recent experiences by the CMS experiment to include HPC resources in processing campaigns.oai:cds.cern.ch:28718262023
spellingShingle Computing and Computers
Particle Physics - Experiment
Adelman-McCarthy, J
Boccali, T
Caspart, R
Delgado Peris, A
Fischer, M
Flix Molina, J
Giffels, M
Hernández, J M
Hufnagel, D
Kühn, E
Madlener, T
Mohapatra, A K
Ozturk, H
Pérez-Calero Yzquierdo, A
Spiga, D
Wissing, C
Extending the distributed computing infrastructure of the CMS experiment with HPC resources
title Extending the distributed computing infrastructure of the CMS experiment with HPC resources
title_full Extending the distributed computing infrastructure of the CMS experiment with HPC resources
title_fullStr Extending the distributed computing infrastructure of the CMS experiment with HPC resources
title_full_unstemmed Extending the distributed computing infrastructure of the CMS experiment with HPC resources
title_short Extending the distributed computing infrastructure of the CMS experiment with HPC resources
title_sort extending the distributed computing infrastructure of the cms experiment with hpc resources
topic Computing and Computers
Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/2438/1/012039
http://cds.cern.ch/record/2871826
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