Modeling power and energy of the task-parallel Cholesky factorization on multicore processors
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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http://dx.doi.org/10.1007/s00450-012-0227-z |
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Title
Modeling power and energy of the task-parallel Cholesky factorization on multicore processorsDate
2014-05Publisher
Springer Berlin HeidelbergISSN
1865-2034; 1865-2042Type
info:eu-repo/semantics/articlePublisher version
http://link.springer.com/article/10.1007%2Fs00450-012-0227-zSubject
Abstract
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 concurrency ... [+]
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 concurrency leveraged via a run-time as those recently proposed in projects like SMPSs, PLASMA or libflame, and decomposes the power usage into its system, 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 energy consumption of the global algorithm. Experimental results on an 8-core platform equipped with Intel Xeon processors reveal the precision of the model. [-]
Is part of
Computer Science - Research and Development, 2014, vol. 29, núm. 2Rights
© Springer-Verlag 2012
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