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dc.contributor.authorMartín Álvarez, Iker
dc.contributor.authorAliaga Estellés, José Ignacio
dc.contributor.authorCastillo Catalán, María Isabel
dc.contributor.authorMayo, Rafael
dc.contributor.authorIserte, Sergio
dc.date.accessioned2022-07-21T07:43:31Z
dc.date.available2022-07-21T07:43:31Z
dc.date.issued2021-09
dc.identifier.citationI. Martín-Álvarez, J. I. Aliaga, M. I. Castillo, R. Mayo and S. Iserte, "Malleability Implementation in a MPI Iterative Method," 2021 IEEE International Conference on Cluster Computing (CLUSTER), 2021, pp. 801-802, doi: 10.1109/Cluster48925.2021.00078.ca_CA
dc.identifier.isbn9781728196664
dc.identifier.isbn9781728196671
dc.identifier.issn2168-9253
dc.identifier.issn1552-5244
dc.identifier.urihttp://hdl.handle.net/10234/198570
dc.descriptionPonència presentada en: 2021 IEEE International Conference on Cluster Computing (CLUSTER), 7-10 sept. 2021, Portland, OR, USAca_CA
dc.description.abstractIn this poster is evaluated the data redistribution stage for two malleable versions of the Conjugate Gradient. One version is based on synchronous communications, while the other one uses asynchronous communications to overlap computation and data redistribution. Both improve execution time when adding more processes, but there is not a noticeable difference between them, because the asynchronous method lowers the performance of the iterations due to the method’s own communications. When both versions are compared, the synchronous version is preferred when resizing to more processes, while the asynchronous one achieves better times when resizing to fewer processes.ca_CA
dc.format.extent2 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherIEEEca_CA
dc.relation.isPartOf2021 IEEE International Conference on Cluster Computing Cluster 2021, 9781728196664ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/ca_CA
dc.subjectMalleabilityca_CA
dc.subjectMPIca_CA
dc.subjectIterative Methodsca_CA
dc.subjectSparse Linear Systemsca_CA
dc.titleMalleability Implementation in a MPI Iterative Methodca_CA
dc.typeinfo:eu-repo/semantics/conferenceObjectca_CA
dc.identifier.doi10.1109/Cluster48925.2021.00078
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttps://ieeexplore.ieee.org/document/9555988/authors#authorsca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameGeneralitat Valencianaca_CA
project.funder.nameFondos Sociales Europeosca_CA
oaire.awardNumberUJI-B2019-36ca_CA
oaire.awardNumberTIN2017-82972-Rca_CA
oaire.awardNumberAPOSTD/2020/026ca_CA


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