Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solvers
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Other documents of the author: Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Quintana-Orti, Enrique S.
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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Title
Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG SolversDate
2017-07-05Bibliographic citation
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 2017Type
info:eu-repo/semantics/conferenceObjectPublisher version
https://zenodo.org/record/814075#.Wv6o_X8YzcvVersion
info:eu-repo/semantics/publishedVersionAbstract
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. [-]
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Ponència presentada al 2nd Workshop on Power-Aware Computing (PACO 2017) Ringberg Castle, Germany, July, 5-8 2017
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2nd Workshop on Power-Aware Computing (PACO 2017)Rights
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