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dc.contributor.authorAliaga Estellés, José Ignacio
dc.contributor.authorAnzt, Hartwig
dc.contributor.authorCastillo Catalán, María Isabel
dc.contributor.authorFernández Fernández, Juan Carlos
dc.contributor.authorLeón Navarro, Germán
dc.contributor.authorPérez, Joaquín
dc.contributor.authorQuintana-Orti, Enrique S.
dc.date.accessioned2016-06-10T14:23:26Z
dc.date.available2016-06-10T14:23:26Z
dc.date.issued2015
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.urihttp://hdl.handle.net/10234/160609
dc.description.abstractIn this paper, we analyze the interactions occurring in the triangle performance-power-energy for the execu- tion of a pivotal numerical algorithm, the iterative conjugate gradient (CG) method, on a diverse collection of parallel multithreaded architectures. This analysis is especially timely in a decade where the power wall has arisen as a major obstacle to build faster processors. Moreover, the CG method has recently been proposed as a complement to the LINPACK benchmark, as this iterative method is argued to be more archetypical of the performance of today’s scientific and engineering applications. To gain insights about the benefits of hands-on optimizations we include runtime and energy efficiency results for both out-of-the-box usage rely- ing exclusively on compiler optimizations, and implementations manually optimized for target architectures, that range from general-purpose and digital signal multicore processors to manycore graphics processing units, all representative of current multithreaded systems.ca_CA
dc.description.sponsorShipThe authors from Universitat Jaume I were supported by the CICYT project TIN2011-23283 and FEDER, and by the EU FET FP7 project 318793 ‘EXA2GREEN’.ca_CA
dc.format.extent20 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherWileyca_CA
dc.relation.isPartOfConcurrency and Computation: Practice and Experience, 2015, vol. 27, núm. 4ca_CA
dc.rightsPublished online in Wiley Online Library (wileyonlinelibrary.com). Copyright © 2014 John Wiley & Sons, Ltd.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectEnergy efficiencyca_CA
dc.subjectCPUsca_CA
dc.subjectLow-power architecturesca_CA
dc.subjectGPUsca_CA
dc.subjectCGca_CA
dc.titleUnveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processorsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1002/cpe.3341
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://onlinelibrary.wiley.com/doi/10.1002/cpe.3341/abstractca_CA


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