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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 |