Modeling power and energy consumption of dense matrix factorizations on multicore processors
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http://dx.doi.org/10.1002/cpe.3162 |
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Títol
Modeling power and energy consumption of dense matrix factorizations on multicore processorsData de publicació
2013-10-11Editor
WileyISSN
1532-0626Cita bibliogràfica
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 ExperienceTipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://onlinelibrary.wiley.com/doi/10.1002/cpe.3162/fullParaules clau / Matèries
Resum
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. [-]
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Concurrency and Computation: Practice and Experience (2013)Drets d'accés
Copyright © 2013 John Wiley & Sons, Ltd.
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info:eu-repo/semantics/restrictedAccess
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