Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners
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Altres documents de l'autoria: Aliaga Estellés, José Ignacio; Dolz, Manuel F.; Martín Huertas, Alberto F.; Mayo, Rafael; Quintana-Orti, Enrique S.
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http://dx.doi.org/10.1007/978-3-642-32606-6_5 |
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Títol
Leveraging Task-Parallelism in Energy-Efficient ILU PreconditionersAutoria
Data de publicació
2012Editor
Springer Berlin HeidelbergISBN
978-3-642-32605-9ISSN
0302-9743; 1611-3349Cita bibliogràfica
Aliaga, José I. ; Dolz, Manuel F. ; Martín, Alberto F. ; Mayo, Rafael; Quintana Ortí, Enrique S. "Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners ". En: ICT as Key Technology against Global Warming – Second International Conference, ICT-GLOW 2012, Vienna, Austria, September 6, 2012. Proceedings / Auweter, Axel [et al.] (Eds.). Berlin : Springer, 2012. (Lecture Notes in Computer Science; 7453) . ISBN: 978-3-642-32605-9, pp. 55-63Tipus de document
info:eu-repo/semantics/bookPartVersió de l'editorial
http://link.springer.com/chapter/10.1007%2F978-3-642-32606-6_5Paraules clau / Matèries
Resum
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 ... [+]
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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