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Modeling power and energy consumption of dense matrix factorizations on multicore processors

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Modeling power and energy consumption of dense matrix factorizations on multicore processors

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dc.contributor.author Alonso Jordá, Pedro es_ES
dc.contributor.author Dolz Zaragozá, Manuel Francisco es_ES
dc.contributor.author Mayo, Rafael es_ES
dc.contributor.author Quintana Ortí, Enrique Salvador es_ES
dc.date.accessioned 2016-04-14T08:16:19Z
dc.date.available 2016-04-14T08:16:19Z
dc.date.issued 2014-12
dc.identifier.issn 1532-0626
dc.identifier.uri http://hdl.handle.net/10251/62542
dc.description.abstract [EN] In this paper, we propose a model for the energy consumption of the concurrent execution of three key dense matrix factorizations, with task parallelism leveraged via the Symmetric Multi-Processing Superscalar (SMPSs) runtime, on a multicore processor. Our model decomposes the power dissipation into the system, static and dynamic components, with the former two being estimated from basic, off-line experiments. The dynamic power, on the other hand, requires significantly more care, and we introduce a contention-aware model that accommodates for the variability of power consumption due to memory contention. Experimental results on an Intel Xeon E5504 processor with four cores, using an internal powermeter that samples the power drawn by the mainboard with a frequency of 1 KHz, show the reliability of the energy model for the Cholesky, LU, and QR factorizations on this platform. es_ES
dc.description.sponsorship This research was supported by the La Comision Interministerial de Ciencia y Tecnologia project TIN2011-23283 of the Ministerio de Economia y Competitividad and Fondo Europeo de Desarrollo Regional, and the European Union Project FP7 318793 'EXA2GREEN'. en_EN
dc.language Inglés es_ES
dc.publisher Wiley es_ES
dc.relation.ispartof Concurrency and Computation: Practice and Experience es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Power and energy models es_ES
dc.subject Dense linear algebra es_ES
dc.subject Task parallelism es_ES
dc.subject Multicore processors es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Modeling power and energy consumption of dense matrix factorizations on multicore processors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/cpe.3162
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/318793/EU/Energy-Aware Sustainable Computing on Future Technology – Paving the Road to Exascale Computing/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-23283/ES/POWER-AWARE HIGH PERFORMANCE COMPUTING/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Alonso Jordá, P.; Dolz Zaragozá, MF.; Mayo, R.; Quintana Ortí, ES. (2014). Modeling power and energy consumption of dense matrix factorizations on multicore processors. Concurrency and Computation: Practice and Experience. 26(17):2743-2757. https://doi.org/10.1002/cpe.3162 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1002/cpe.3162 es_ES
dc.description.upvformatpinicio 2743 es_ES
dc.description.upvformatpfin 2757 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 17 es_ES
dc.relation.senia 253721 es_ES
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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