Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solvers
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Otros documentos de la autoría: Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Quintana-Orti, Enrique S.
Metadatos
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Título
Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG SolversFecha de publicación
2017-07-05Cita bibliográfica
Aliaga, José I., Barreda, Maria, & Quintana-Ortí, Enrique S. (2017). Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solvers. 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/814075#.Wv6o_X8YzcvVersión
info:eu-repo/semantics/publishedVersionResumen
We investigate the eficiency of state-of-the-art multicore processors using
a multi-threaded task-parallel implementation of the Conjugate Gradient
(CG) method, accelerated with an incomplete LU (ILU) precondition ... [+]
We investigate the eficiency of state-of-the-art multicore processors using
a multi-threaded task-parallel implementation of the Conjugate Gradient
(CG) method, accelerated with an incomplete LU (ILU) preconditioner.
Concretely, we analyze multicore architectures with distinct
designs and market targets to compare their parallel performance and
energy eficiency. [-]
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)Derechos de acceso
info:eu-repo/semantics/openAccess
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