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hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierHigh-End Parallel Algorithms for Challenging Numerical Simulations [HiePACS]
dc.contributor.authorAGULLO, Emmanuel
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorAUMAGE, Olivier
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierHigh-End Parallel Algorithms for Challenging Numerical Simulations [HiePACS]
dc.contributor.authorFAVERGE, Mathieu
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorFURMENTO, Nathalie
hal.structure.identifierHigh-End Parallel Algorithms for Challenging Numerical Simulations [HiePACS]
dc.contributor.authorPRUVOST, Florent
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorSERGENT, Marc
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorTHIBAULT, Samuel
dc.date.accessioned2024-04-15T09:41:32Z
dc.date.available2024-04-15T09:41:32Z
dc.date.issued2014-02-19
dc.date.conference2014-02-19
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/197607
dc.description.abstractEnRuntime systems usually abstract a single node, like Plasma/Quark, Flame/SuperMatrix, Morse/StarPU,Dplasma/Parsec ... When going into harnessing cluster of nodes, how should they communicate? By using explicit MPI user calls ? By using a specific paradigm (Dplasma) ? Or can we keep the same paradigm and almost the same code, and leave the runtime system handle data transfers? We show how such a system has been sucessfully implemented on top of the StarPU runtime.
dc.language.isoen
dc.title.enOverview of Distributed Linear Algebra on Hybrid Nodes over the StarPU Runtime
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleSIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2014)
bordeaux.countryUS
bordeaux.conference.cityPortland, Oregon
bordeaux.peerReviewedoui
hal.identifierhal-00978602
hal.version1
hal.invitednon
hal.proceedingsnon
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00978602v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014-02-19&rft.au=AGULLO,%20Emmanuel&AUMAGE,%20Olivier&FAVERGE,%20Mathieu&FURMENTO,%20Nathalie&PRUVOST,%20Florent&rft.genre=unknown


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