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dc.contributor.authorBarba Gutiérrez, Daniel
dc.contributor.authorGonzález Escribano, Arturo 
dc.contributor.authorLlanos Ferraris, Diego Rafael 
dc.date.accessioned2018-03-17T17:21:16Z
dc.date.available2018-03-17T17:21:16Z
dc.date.issued2017
dc.identifier.citationCMMSE 2017 Proceedings (Computational and Mathematical Methods in Science and Engineering), Rota, Spain, july 2017es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/29139
dc.descriptionProducción Científicaes
dc.description.abstractOpenACC is a parallel programming model for automatic parallelization of sequential code using compiler directives or pragmas. OpenACC is intended to be used with accelerators such as GPUs and Xeon Phi. The different implementations of the standard, although still in early development, are primarily focused on GPU execution. In this study, we analyze how the different OpenACC compilers available under certain premises behave when the clauses affecting the underlying block geometry implementation are modified. These clauses are the Gang number, Worker number, and Vector Size defined by the standard.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherUniversidad de Salamancaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAnalysis of OpenACC Performance using Different Block Geometrieses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.title.eventCMMSE 2017 Proceedings (Computational and Mathematical Methods in Science and Engineering)es
dc.description.projectThis research has been partially supported by MICINN (Spain) and ERDF program of the European Union: HomProg-HetSys project (TIN2014-58876-P), CAPAP-H5 network (TIN2014-53522-REDT), and COST Program Action IC1305: Network for Sustainable Ul- trascale Computing (NESUS).es
dc.rightsAttribution 4.0 International


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