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dc.contributor.authorAliaga, José Ignacio
dc.contributor.authorBarreda, María
dc.contributor.authorDolz, Manuel F.
dc.contributor.authorMartín Huertas, Alberto Francisco
dc.contributor.authorMayo, Rafael
dc.contributor.authorQuintana Ortí, Enrique Salvador
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.date.accessioned2014-12-04T13:20:03Z
dc.date.created2014-12-01
dc.date.issued2014-12-01
dc.identifier.citationAliaga, José I. [et al.]. Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems. "Cluster computing", 01 Desembre 2014, vol. 17, núm. 4, p. 1335-1348.
dc.identifier.issn1386-7857
dc.identifier.urihttp://hdl.handle.net/2117/24926
dc.description.abstractWe investigate the benefits that an energy-aware implementation of the runtime in charge of the concurrent execution of ILUPACK—a sophisticated preconditioned iterative solver for sparse linear systems—produces on the time-power-energy balance of the application. Furthermore, to connect the experimental results with the theory, we propose several simple yet accurate power models that capture the variations of average power that result from the introduction of the energy-aware strategies as well as the impact of the P-states into ILUPACK’s runtime, at high accuracy, on two distinct platforms based on multicore technology from AMD and Intel.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherKluwer Academic Publishers
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subjectÀrees temàtiques de la UPC::Informàtica::Hardware
dc.subject.otherSparse linear systems
dc.subject.otherIterative solvers
dc.subject.otherILUPACK · Energy-aware methods
dc.subject.otherCPU power-saving modes
dc.subject.otherHigh performance computing
dc.titleAssessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems
dc.typeArticle
dc.identifier.doi10.1007/s10586-014-0402-z
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs10586-014-0402-z
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15182872
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAliaga, José I.; Barreda, María; Dolz, Manuel F.; Martín, A. F.; Mayo, R.; Quintana, E.
local.citation.publicationNameCluster computing
local.citation.volume17
local.citation.number4
local.citation.startingPage1335
local.citation.endingPage1348


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