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Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solvers

dc.contributor.authorAliaga Estellés, José Ignacio
dc.contributor.authorBarreda Vayá, Maria
dc.contributor.authorQuintana-Orti, Enrique S.
dc.date.accessioned2018-05-18T10:26:37Z
dc.date.available2018-05-18T10:26:37Z
dc.date.issued2017-07-05
dc.identifier.citationAliaga, José I., Barreda, Maria, & Quintana-Ortí, Enrique S. (2017). Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solvers. 2nd Workshop on Power-Aware Computing 2017 (PACO2017), Ringberg Castle, Germany, July, 5-8 2017ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/174739
dc.descriptionPonència presentada al 2nd Workshop on Power-Aware Computing (PACO 2017) Ringberg Castle, Germany, July, 5-8 2017ca_CA
dc.description.abstractWe investigate the eficiency of state-of-the-art multicore processors using a multi-threaded task-parallel implementation of the Conjugate Gradient (CG) method, accelerated with an incomplete LU (ILU) preconditioner. Concretely, we analyze multicore architectures with distinct designs and market targets to compare their parallel performance and energy eficiency.ca_CA
dc.format.extent6 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.relation.isPartOf2nd Workshop on Power-Aware Computing (PACO 2017)ca_CA
dc.rightsAtribución-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.titleCharacterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solversca_CA
dc.typeinfo:eu-repo/semantics/conferenceObjectca_CA
dc.identifier.doihttps://doi.org/10.5281/zenodo.814075
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://zenodo.org/record/814075#.Wv6o_X8Yzcvca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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