Adapting concurrency throttling and voltage–frequency scaling for dense eigensolvers
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Otros documentos de la autoría: Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Castaño Álvarez, María Asunción; Dolz, Manuel F.; Quintana-Orti, Enrique S.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Título
Adapting concurrency throttling and voltage–frequency scaling for dense eigensolversAutoría
Fecha de publicación
2015Editor
Springer VerlagISSN
0920-8542; 1573-0484Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://link.springer.com/article/10.1007/s11227-015-1600-z/fulltext.htmlPalabras clave / Materias
Resumen
We analyze power dissipation and energy consumption during the execution
of high-performance dense linear algebra kernels on multi-core processors. On top of
this analysis, we propose and evaluate several strategies ... [+]
We analyze power dissipation and energy consumption during the execution
of high-performance dense linear algebra kernels on multi-core processors. On top of
this analysis, we propose and evaluate several strategies to adapt concurrency throttling
and the voltage–frequency setting in order to obtain an energy-efficient execution of
LAPACK’s routine dsytrd. Our strategies take into account the differences between
the memory-bound and CPU-bound kernels that govern this routine, and whether
problem data fits into the processor’s last level cache. [-]
Publicado en
Journal of supercomputing, 2015, online, 1-15Derechos de acceso
"The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-015-1600-z"
© Springer Science+Business Media New York 2015
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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