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Modeling power and energy of the task-parallel Cholesky factorization on multicore processors

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Modeling power and energy of the task-parallel Cholesky factorization on multicore processors

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Nombre: Pedro Alonso;DOLZ ...
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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 2015-12-30T08:56:53Z
dc.date.available 2015-12-30T08:56:53Z
dc.date.issued 2014-05
dc.identifier.issn 1865-2034
dc.identifier.uri http://hdl.handle.net/10251/59291
dc.description.abstract [EN] In this paper we introduce a model for the total energy consumption of the Cholesky factorization on a multicore processor. Our model assumes a task- parallel execution of the factorization process, with con- currency leveraged via a run-time as those recently pro- posed in projects like SMPSs, PLASMA or libflame, and decomposes the power usage into its uncore, static and dynamic components. A few simple experiments provide experimental data (parameters) with enough accuracy to assemble the model, which can then be used to estimate the actual power dissipation and en- ergy consumption of the global algorithm. Experimen- tal results on an 8-core platform equipped with Intel Xeon processors reveal the precision of the model. es_ES
dc.description.sponsorship The authors were supported by the CICYT project TIN2011-23283 of the Ministerio de Economía y Competitividad and FEDER
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Computer Science - Research and Development es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Power and energy es_ES
dc.subject Cholesky factorization 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 of the task-parallel Cholesky factorization on multicore processors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00450-012-0227-z
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 of the task-parallel Cholesky factorization on multicore processors. Computer Science - Research and Development. 29(2):105-112. https://doi.org/10.1007/s00450-012-0227-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/ 10.1007/s00450-012-0227-z es_ES
dc.description.upvformatpinicio 105 es_ES
dc.description.upvformatpfin 112 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 29 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 232724 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación
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