Modeling power and energy consumption of dense matrix factorizations on multicore processors
Impacto
Scholar |
Otros documentos de la autoría: Alonso-Jordá, Pedro; Dolz, Manuel F.; Mayo, Rafael; Quintana-Orti, Enrique S.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONEste recurso está restringido
http://dx.doi.org/10.1002/cpe.3162 |
Metadatos
Título
Modeling power and energy consumption of dense matrix factorizations on multicore processorsFecha de publicación
2013-10-11Editor
WileyISSN
1532-0626Cita bibliográfica
Alonso, P., Dolz, M. F., Mayo, R., & Quintana‐Ortí, E. S. (2013). Modeling power and energy consumption of dense matrix factorizations on multicore processors. Concurrency and Computation: Practice and ExperienceTipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://onlinelibrary.wiley.com/doi/10.1002/cpe.3162/fullPalabras clave / Materias
Resumen
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) ... [+]
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. Copyright © 2013 John Wiley & Sons, Ltd. [-]
Publicado en
Concurrency and Computation: Practice and Experience (2013)Derechos de acceso
Copyright © 2013 John Wiley & Sons, Ltd.
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
Aparece en las colecciones
- ICC_Articles [430]