Harvesting Energy in ILUPACK via Slack Elimination
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Scholar |
Otros documentos de la autoría: Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Castaño Álvarez, María Asunción
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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INVESTIGACIONMetadatos
Título
Harvesting Energy in ILUPACK via Slack EliminationFecha de publicación
2017-07-05Cita bibliográfica
José I. Aliaga, María Barreda, & Asunción Castaño. (2017). Harvesting Energy in ILUPACK via Slack Elimination. 2nd Workshop on Power-Aware Computing 2017 (PACO2017), Ringberg Castle, Germany, July, 5-8 2017Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://zenodo.org/record/814115#.Wv6stn8YzcsVersión
info:eu-repo/semantics/publishedVersionResumen
We develop a new energy-aware methodology to improve the energy
consumption of a task-parallel preconditioned Conjugate Gradient iter-
ative solver on a Haswell-EP Intel Xeon. This technique leverages the
power-saving ... [+]
We develop a new energy-aware methodology to improve the energy
consumption of a task-parallel preconditioned Conjugate Gradient iter-
ative solver on a Haswell-EP Intel Xeon. This technique leverages the
power-saving modes of the processor and the frequency range of the
userspace Linux governor, modifying the CPU frequency for some oper-
ations. We demonstrate that its application during the main operations
of the PCG solver can reduce its energy consumption. [-]
Descripción
Ponència presentada al 2nd Workshop on Power-Aware Computing (PACO 2017) Ringberg Castle, Germany, July, 5-8 2017
Publicado en
2nd Workshop on Power-Aware Computing (PACO 2017)Proyecto de investigación
project TIN2014-53495-R of the MINECO and FEDERDerechos de acceso
info:eu-repo/semantics/openAccess
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