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dc.contributor.authorBadia Sala, Rosa Maria
dc.contributor.authorLabarta Mancho, Jesús José
dc.contributor.authorMarjanovic, Vladimir
dc.contributor.authorMartín Huertas, Alberto Francisco
dc.contributor.authorMayo, Rafael
dc.contributor.authorQuintana-Ortí, Enrique Salvador
dc.contributor.authorReyes, Ruymán
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.identifier.citationBadia, R.M. [et al.]. Symmetric rank-k update on clusters of multicore processors with SMPSs. A: International Conference on Parallel Computing. "Applications, Tools and Techniques on the Road to Exascale Computing". Ghent: IOS Press, 2011, p. 657-664.
dc.description.abstractWe investigate the use of the SMPSs programming model to leverage task parallelism in the execution of a message-pas sing implementation of the symmetric rank- k update on clusters equipped with multicore processors. Our experience shows that the major difficulties to adapt the code to the MPI/SMPSs instance of this programming model are due to the usage of the conventional column-major layout of matrices in numerical libraries. On the other hand, the experimental results show a considerable increase in the performance and scalability of our solution when compared with the standard options based on the use of a pure MPI approach or a hybrid one that combines MPI/multi-threaded BLAS.
dc.format.extent8 p.
dc.publisherIOS Press
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.otherLinear algebra
dc.subject.otherClusters of multi-core processors
dc.subject.otherMessage passing numerical libraries
dc.titleSymmetric rank-k update on clusters of multicore processors with SMPSs
dc.typeConference lecture
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
upcommons.citation.authorBadia, R.M.; Labarta, J.; Marjanovic, V.; Martín, A. F.; Mayo, R.; Quintana-Ortí, E. S.; Reyes, R.
upcommons.citation.contributorInternational Conference on Parallel Computing
upcommons.citation.publicationNameApplications, Tools and Techniques on the Road to Exascale Computing

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