Unveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processors
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http://dx.doi.org/10.1002/cpe.3341 |
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Títol
Unveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processorsAutoria
Data de publicació
2015Editor
WileyISSN
1532-0626; 1532-0634Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://onlinelibrary.wiley.com/doi/10.1002/cpe.3341/abstractParaules clau / Matèries
Resum
In this paper, we analyze the interactions occurring in the triangle performance-power-energy for the execu-
tion of a pivotal numerical algorithm, the iterative conjugate gradient (CG) method, on a diverse collection ... [+]
In this paper, we analyze the interactions occurring in the triangle performance-power-energy for the execu-
tion of a pivotal numerical algorithm, the iterative conjugate gradient (CG) method, on a diverse collection of
parallel multithreaded architectures. This analysis is especially timely in a decade where the power wall has
arisen as a major obstacle to build faster processors. Moreover, the CG method has recently been proposed
as a complement to the LINPACK benchmark, as this iterative method is argued to be more archetypical
of the performance of today’s scientific and engineering applications. To gain insights about the benefits of
hands-on optimizations we include runtime and energy efficiency results for both out-of-the-box usage rely-
ing exclusively on compiler optimizations, and implementations manually optimized for target architectures,
that range from general-purpose and digital signal multicore processors to manycore graphics processing
units, all representative of current multithreaded systems. [-]
Publicat a
Concurrency and Computation: Practice and Experience, 2015, vol. 27, núm. 4Drets d'accés
Published online in Wiley Online Library (wileyonlinelibrary.com). Copyright © 2014 John Wiley & Sons, Ltd.
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