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Energy‐aware strategies for task‐parallel sparse linear system solvers
dc.contributor.author | Aliaga Estellés, José Ignacio | |
dc.contributor.author | Barreda Vayá, Maria | |
dc.contributor.author | Castaño, Asunción | |
dc.date.accessioned | 2018-11-19T12:16:24Z | |
dc.date.available | 2018-11-19T12:16:24Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | ALIAGA, José I.; BARREDA, María; CASTAÑO, Asunción. Energy‐aware strategies for task‐parallel sparse linear system solvers. Concurrency and Computation: Practice and Experience, 2018, p. e4633. | ca_CA |
dc.identifier.issn | 1532-0626 | |
dc.identifier.issn | 1532-0634 | |
dc.identifier.uri | http://hdl.handle.net/10234/177562 | |
dc.description | This is the pre-peer reviewed version of the following article: Energy‐aware strategies for task‐parallel sparse linear system solvers, which has been published in final form at https://doi.org/10.1002/cpe.4633. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | ca_CA |
dc.description.abstract | We present several energy‐aware strategies to improve the energy efficiency of a task‐parallel preconditioned Conjugate Gradient (PCG) iterative solver on a Haswell‐EP Intel Xeon. These techniques leverage the power‐saving states of the processor, promoting the hardware into a more energy‐efficient C‐state and modifying the CPU frequency (P‐states of the processors) of some operations of the PCG. We demonstrate that the application of these strategies during the main operations of the iterative solver can reduce its energy consumption considerably, especially for memory‐bound computations. | ca_CA |
dc.format.extent | 13 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Wiley | ca_CA |
dc.relation.isPartOf | Concurrency and Computation: Practice and Experience, 2018 | ca_CA |
dc.rights | Copyright © John Wiley & Sons, Inc. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | DVFS | ca_CA |
dc.subject | energy efficiency | ca_CA |
dc.subject | ILUPACK | ca_CA |
dc.subject | power-saving states | ca_CA |
dc.subject | preconditioned Conjugate Gradient | ca_CA |
dc.subject | sparse linear systems | ca_CA |
dc.subject | task-parallelism | ca_CA |
dc.title | Energy‐aware strategies for task‐parallel sparse linear system solvers | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1002/cpe.4633 | |
dc.relation.projectID | MINECO; FEDER. Grant Numbers: CICYT projects TIN2014-53495-R, TIN2017-82972-R; H2020 EU FETHPC. Grant Number: project 671602 “INTERTWinE”; Universitat Jaume I. Grant Number: project P1‐1B2015‐26 | ca_CA |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.4633 | ca_CA |
dc.type.version | info:eu-repo/semantics/submittedVersion | ca_CA |
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