N-Body simulation using GP-GPU: evaluating host/device memory transference overhead

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloInstituto de Investigación en Informática es
cic.versioninfo:eu-repo/semantics/submittedVersiones
dc.date.accessioned2016-08-05T12:41:54Z
dc.date.available2016-08-05T12:41:54Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/3356
dc.titleN-Body simulation using GP-GPU: evaluating host/device memory transference overheaden
dc.typeDocumento de conferenciaes
dcterms.abstractN-Body simulation algorithms are amongst the most commonly used within the field of scientific computing. Especially in computational astrophysics, they are used to simulate gravitational scenarios for solar systems or galactic collisions. Parallel versions of such N-Body algorithms have been extensively designed and optimized for multicore and distributed computing schemes. However, N-Body algorithms are still a novelty in the field of GPGPU computing. Although several N-body algorithms have been proved to harness the potential of a modern GPU processor, there are additional complexities that this architecture presents that could be analyzed for possible optimizations. In this article, we introduce the problem of host to device (GPU) – and vice versa – data transferring overhead and analyze a way to estimate its impact in the performance of simulations.en
dcterms.creator.authorMartín, Sergioes
dcterms.creator.authorCasas, Nicanores
dcterms.creator.authorDe Luca, Gracielaes
dcterms.creator.authorGiulianelli, Daniel Albertoes
dcterms.creator.authorTinetti, Fernando Gustavoes
dcterms.descriptionWPDP- XIII Workshop procesamiento distribuido y paraleloes
dcterms.extent10 p.es
dcterms.identifier.urlRecurso Completoes
dcterms.isPartOf.issueXVIII Congreso Argentino de Ciencias de la Computaciónes
dcterms.isPartOf.seriesCongreso Argentino de Ciencias de la Computaciónes
dcterms.issued2013-10-01
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectN-Body simulationen
dcterms.subjectGPU optimizationen
dcterms.subjectdata transference overheaden
dcterms.subjectSimulationes
dcterms.subjectOptimizationes
dcterms.subject.materiaCiencias de la Información y Bioinformáticaes

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