Leveraging Task-Parallelism in Energy-Efficient ILU preconditioners

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.contributor.author	Aliaga, José Ignacio
dc.contributor.author	Dolz Zaragozá, Manuel Francisco
dc.contributor.author	Martín Huertas, Alberto Francisco
dc.contributor.author	Mayo, Rafael
dc.contributor.author	Quintana-Ortí, Enrique Salvador
dc.date	2012
dc.identifier.citation	Aliaga, 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.
dc.identifier.citation	978-3-642-32605-9
dc.identifier.citation	10.1007/978-3-642-32606-6_5
dc.identifier.uri	http://hdl.handle.net/2117/17394
dc.language.iso	eng
dc.publisher	Springer
dc.relation	http://link.springer.com/chapter/10.1007/978-3-642-32606-6_5
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject	Computers -- Economic aspects
dc.subject	Informàtica -- Estalvi d'energia
dc.title	Leveraging Task-Parallelism in Energy-Efficient ILU preconditioners
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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.
dc.description.abstract	Peer Reviewed

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