Abstract
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 performance.
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Aliaga, J.I., Dolz, M.F., Martín, A.F., Mayo, R., Quintana-Ortí, E.S. (2012). Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners. In: Auweter, A., Kranzlmüller, D., Tahamtan, A., Tjoa, A.M. (eds) ICT as Key Technology against Global Warming. ICT-GLOW 2012. Lecture Notes in Computer Science, vol 7453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32606-6_5
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DOI: https://doi.org/10.1007/978-3-642-32606-6_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32605-9
Online ISBN: 978-3-642-32606-6
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