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Exploiting the Cell/BE architecture with the StarPU unified runtime system

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorAUGONNET, Cédric
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorTHIBAULT, Samuel
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorNAMYST, Raymond
hal.structure.identifierDepartment of Computer Science [Amsterdam]
dc.contributor.authorNIJHUIS, Maik
dc.contributor.editorSpringer Verlag
dc.date.accessioned2024-04-15T09:51:44Z
dc.date.available2024-04-15T09:51:44Z
dc.date.issued2009
dc.date.conference2009-07-20
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198456
dc.description.abstractEnCore specialization is currently one of the most promising ways for designing power-efficient multicore chips. However, approaching the theoretical peak performance of such heterogeneous multicore architectures with specialized accelerators, is a complex issue. While substantial effort has been devoted to efficiently offloading parts of the computation, designing an execution model that unifies all computing units is the main challenge. We therefore designed the StarPU runtime system for providing portable support for heterogeneous multicore processors to high performance applications and compiler environments. StarPU provides a high-level, unified execution model which is tightly coupled to an expressive data management library. In addition to our previous results on using multicore processors alongside with graphic processors, we show that StarPU is flexible enough to efficiently exploit the heterogeneous resources in the Cell processor. We present a scalable design supporting multiple different accelerators while minimizing the overhead on the overall system. Using experiments with classical linear algebra algorithms, we show that StarPU improves programmability and provides performance portability.
dc.language.isoen
dc.title.enExploiting the Cell/BE architecture with the StarPU unified runtime system
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.titleSAMOS Workshop
bordeaux.countryGR
bordeaux.conference.citySAMOS
bordeaux.peerReviewedoui
hal.identifierinria-00378705
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00378705v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2009&rft.au=AUGONNET,%20C%C3%A9dric&THIBAULT,%20Samuel&NAMYST,%20Raymond&NIJHUIS,%20Maik&rft.genre=unknown


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