Modeling power and energy consumption of dense matrix factorizations on multicore processors

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

Modeling power and energy consumption of dense matrix factorizations on multicore processors

[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.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'.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.3162S27432757261