DVFS-control techniques for dense linear algebra operations on multi-core processors
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Otros documentos de la autoría: Alonso-Jordá, Pedro; Dolz, Manuel F.; Igual, Francisco; Mayo, Rafael; Quintana-Orti, Enrique S.
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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http://dx.doi.org/10.1007/s00450-011-0188-7 |
Metadatos
Título
DVFS-control techniques for dense linear algebra operations on multi-core processorsAutoría
Fecha de publicación
2012-11Editor
SpringerISSN
1865-2034; 1865-2042Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://link.springer.com/article/10.1007/s00450-011-0188-7Palabras clave / Materias
Resumen
This paper analyzes the impact on power consumption of two DVFS-control strategies when applied to the execution of dense linear algebra operations on multi-core processors. The strategies considered here, prototyped ... [+]
This paper analyzes the impact on power consumption of two DVFS-control strategies when applied to the execution of dense linear algebra operations on multi-core processors. The strategies considered here, prototyped as the Slack Reduction Algorithm (SRA) and the Race-to-Idle Algorithm (RIA), adjust the operation frequency of the cores during execution of a collection of tasks (in which many dense linear algebra algorithms can be decomposed) with a very different approach to save energy. A power-aware simulator, in charge of scheduling the execution of tasks to processor cores, is employed to evaluate the performance benefits of these power-control policies for two reference algorithms for the LU factorization, a key operation for the solution of linear systems of equations. [-]
Publicado en
Computer Science - Research and Development November 2012, Vol. 27, num. 4Derechos de acceso
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