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Performance of GeantV em Physics Models

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dc.contributor.authorAmadio, G. [UNESP]
dc.contributor.authorAnanya, A.
dc.contributor.authorApostolakis, J.
dc.contributor.authorAurora, A.
dc.contributor.authorBandieramonte, M.
dc.contributor.authorBhattacharyya, A.
dc.contributor.authorBianchini, C. [UNESP]
dc.contributor.authorBrun, R.
dc.contributor.authorCanal, P.
dc.contributor.authorCarminati, F.
dc.contributor.authorCosmo, G.
dc.contributor.authorDuhem, L.
dc.contributor.authorElvira, D.
dc.contributor.authorFolger, G.
dc.contributor.authorGheata, A.
dc.contributor.authorGheata, M.
dc.contributor.authorGoulas, I.
dc.contributor.authorIope, R. [UNESP]
dc.contributor.authorJun, S. Y.
dc.contributor.authorLima, G.
dc.contributor.authorMohanty, A.
dc.contributor.authorNikitina, T.
dc.contributor.authorNovak, M.
dc.contributor.authorPokorski, W.
dc.contributor.authorRibon, A.
dc.contributor.authorSeghal, R.
dc.contributor.authorShadura, O.
dc.contributor.authorVallecorsa, S.
dc.contributor.authorWenzel, S.
dc.contributor.authorZhang, Y.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEP Department
dc.contributor.institutionBhabha Atomic Research Centre (BARC)
dc.contributor.institutionMS234
dc.contributor.institutionIntel Corporation
dc.contributor.institutionMackenzie Presbyterian University
dc.contributor.institutionInstitute of Space Sciences
dc.date.accessioned2018-12-11T16:51:01Z
dc.date.available2018-12-11T16:51:01Z
dc.date.issued2017-11-23
dc.description.abstractThe 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.en
dc.description.affiliationParallel Computing Center São Paulo State University (UNESP)
dc.description.affiliationCERN EP Department
dc.description.affiliationBhabha Atomic Research Centre (BARC)
dc.description.affiliationFermilab MS234, P.O. Box 500
dc.description.affiliationIntel Corporation
dc.description.affiliationMackenzie Presbyterian University
dc.description.affiliationInstitute of Space Sciences
dc.description.affiliationUnespParallel Computing Center São Paulo State University (UNESP)
dc.identifierhttp://dx.doi.org/10.1088/1742-6596/898/7/072017
dc.identifier.citationJournal of Physics: Conference Series, v. 898, n. 7, 2017.
dc.identifier.doi10.1088/1742-6596/898/7/072017
dc.identifier.file2-s2.0-85038581272.pdf
dc.identifier.issn1742-6596
dc.identifier.issn1742-6588
dc.identifier.scopus2-s2.0-85038581272
dc.identifier.urihttp://hdl.handle.net/11449/170486
dc.language.isoeng
dc.relation.ispartofJournal of Physics: Conference Series
dc.relation.ispartofsjr0,241
dc.relation.ispartofsjr0,241
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titlePerformance of GeantV em Physics Modelsen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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