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We analyze the energy-performance balance of a task-parallel computation of an ILU-based preconditioner for the solution of sparse
linear systems on multi-core processors. In particular, we elaborate a theoretical model for the power dissipation, and employ it to explore the effect of the processor power states on the time-power-energy interaction
for this calculation. Armed with the insights gained from this study, we then introduce two energy-saving mechanisms which, incorporated into the runtime in charge of the parallel execution of the algorithm, improve energy efficiency by 6.9%, with a negligible impact on
CitationAliaga, J. I. [et al.]. Leveraging Task-Parallelism in Energy-Efficient ILU preconditioners. A: International Conference on ICT as Key Technology against Global Warming. "ICT as Key Technology against Global Warming, Lecture Notes in Computer Science Volume 7453". Vienna: Springer, 2012, p. 55-63.
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