Performance of GeantV EM Physics Models

The recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV project studies performance gains in propagating multiple particle...

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Detalles Bibliográficos
Autores principales: Amadio, G, Ananya, A, Apostolakis, J, Aurora, A, Bandieramonte, M, Bhattacharyya, A, Bianchini, C, Brun, R, Canal P, Carminati, F, Cosmo, G, Duhem, L, Elvira, D, Folger, G, Gheata, A, Gheata, M, Goulas, I, Iope, R, Jun, S Y, Lima, G, Mohanty, A, Nikitina, T, Novak, M, Pokorski, W, Ribon, A, Seghal, R, Shadura, O, Vallecorsa, S, Wenzel, S, Zhang, Y
Lenguaje:eng
Publicado: 2017
Materias:
Computing and Computers
Particle Physics - Phenomenology
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/7/072017
http://cds.cern.ch/record/2295073
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author Amadio, G
Ananya, A
Apostolakis, J
Aurora, A
Bandieramonte, M
Bhattacharyya, A
Bianchini, C
Brun, R
Canal P
Carminati, F
Cosmo, G
Duhem, L
Elvira, D
Folger, G
Gheata, A
Gheata, M
Goulas, I
Iope, R
Jun, S Y
Lima, G
Mohanty, A
Nikitina, T
Novak, M
Pokorski, W
Ribon, A
Seghal, R
Shadura, O
Vallecorsa, S
Wenzel, S
Zhang, Y
author_facet Amadio, G
Ananya, A
Apostolakis, J
Aurora, A
Bandieramonte, M
Bhattacharyya, A
Bianchini, C
Brun, R
Canal P
Carminati, F
Cosmo, G
Duhem, L
Elvira, D
Folger, G
Gheata, A
Gheata, M
Goulas, I
Iope, R
Jun, S Y
Lima, G
Mohanty, A
Nikitina, T
Novak, M
Pokorski, W
Ribon, A
Seghal, R
Shadura, O
Vallecorsa, S
Wenzel, S
Zhang, Y
author_sort Amadio, G
collection CERN
description The recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV project studies performance gains in propagating multiple particles in parallel, improving instruction throughput and data locality in HEP event simulation on modern parallel hardware architecture. Due to the complexity of geometry description and physics algorithms of a typical HEP application, performance analysis is indispensable in identifying factors limiting parallel execution. In this report, we will present design considerations and preliminary computing performance of GeantV physics models on coprocessors (Intel Xeon Phi and NVidia GPUs) as well as on mainstream CPUs.
id oai-inspirehep.net-1599916
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling oai-inspirehep.net-15999162021-02-09T10:07:22Zdoi:10.1088/1742-6596/898/7/072017http://cds.cern.ch/record/2295073engAmadio, GAnanya, AApostolakis, JAurora, ABandieramonte, MBhattacharyya, ABianchini, CBrun, RCanal PCarminati, FCosmo, GDuhem, LElvira, DFolger, GGheata, AGheata, MGoulas, IIope, RJun, S YLima, GMohanty, ANikitina, TNovak, MPokorski, WRibon, ASeghal, RShadura, OVallecorsa, SWenzel, SZhang, YPerformance of GeantV EM Physics ModelsComputing and ComputersParticle Physics - PhenomenologyComputing and ComputersThe recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV project studies performance gains in propagating multiple particles in parallel, improving instruction throughput and data locality in HEP event simulation on modern parallel hardware architecture. Due to the complexity of geometry description and physics algorithms of a typical HEP application, performance analysis is indispensable in identifying factors limiting parallel execution. In this report, we will present design considerations and preliminary computing performance of GeantV physics models on coprocessors (Intel Xeon Phi and NVidia GPUs) as well as on mainstream CPUs.FERMILAB-CONF-17-045-CDoai:inspirehep.net:15999162017
spellingShingle Computing and Computers
Particle Physics - Phenomenology
Computing and Computers
Amadio, G
Ananya, A
Apostolakis, J
Aurora, A
Bandieramonte, M
Bhattacharyya, A
Bianchini, C
Brun, R
Canal P
Carminati, F
Cosmo, G
Duhem, L
Elvira, D
Folger, G
Gheata, A
Gheata, M
Goulas, I
Iope, R
Jun, S Y
Lima, G
Mohanty, A
Nikitina, T
Novak, M
Pokorski, W
Ribon, A
Seghal, R
Shadura, O
Vallecorsa, S
Wenzel, S
Zhang, Y
Performance of GeantV EM Physics Models
title Performance of GeantV EM Physics Models
title_full Performance of GeantV EM Physics Models
title_fullStr Performance of GeantV EM Physics Models
title_full_unstemmed Performance of GeantV EM Physics Models
title_short Performance of GeantV EM Physics Models
title_sort performance of geantv em physics models
topic Computing and Computers
Particle Physics - Phenomenology
Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/898/7/072017
http://cds.cern.ch/record/2295073
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