Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems
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Other documents of the author: Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S.
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Title
Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systemsAuthor (s)
Date
2015-09Publisher
Springer Berlin HeidelbergISSN
1865-2034; 1865-2042Type
info:eu-repo/semantics/articlePublisher version
http://link.springer.com/article/10.1007%2Fs00450-015-0299-7Subject
Abstract
We analyze the efficiency of servers equipped with state-of-the-art general-purpose multicore processors as well as platforms based on accelerators such as graphics processing units (GPUs) and the Intel Xeon Phi. ... [+]
We analyze the efficiency of servers equipped with state-of-the-art general-purpose multicore processors as well as platforms based on accelerators such as graphics processing units (GPUs) and the Intel Xeon Phi. Following the proposal recently advocated in the High Performance Conjugate Gradient (HPCG) benchmark, we leverage for this purpose efficient implementations of ILUPACK, a preconditioned solver for sparse linear systems that comprises numerical kernels and data access patterns analogous to those of HPCG. Our study analyzes the (computational) performance and energy efficiency, with two different metrics for each: time/floating-point throughput for the former; and energy/floating-point throughput-per-Watt for the latter. [-]
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Computer Science - Research and Development, 2015, Special Issue PaperRights
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- ICC_Articles [413]