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Cluster Computing
Published in: Cluster Computing 4/2014

01-12-2014

Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems

Authors: José I. Aliaga, María Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí

Published in: Cluster Computing | Issue 4/2014

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Abstract

We investigate the benefits that an energy-aware implementation of the runtime in charge of the concurrent execution of ILUPACK—a sophisticated preconditioned iterative solver for sparse linear systems—produces on the time-power-energy balance of the application. Furthermore, to connect the experimental results with the theory, we propose several simple yet accurate power models that capture the variations of average power that result from the introduction of the energy-aware strategies as well as the impact of the P-states into ILUPACK’s runtime, at high accuracy, on two distinct platforms based on multicore technology from AMD and Intel.
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Footnotes
1
A ratio of 1 EXAFLOPS=\(10^{18}\) floating-point arithmetic operations, or flops, per second.
 
2
On a separate experiment [21], it was determined that the aggregate power supplied by the 3-Volt and 5-Volt lines during the execution of ILUPACK on these two platforms remains practically constant and, furthermore, it is negligible compared with that measured from the 12-Volt lines.
 
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Metadata
Title
Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems
Authors
José I. Aliaga
María Barreda
Manuel F. Dolz
Alberto F. Martín
Rafael Mayo
Enrique S. Quintana-Ortí
Publication date
01-12-2014
Publisher
Springer US
Published in
Cluster Computing / Issue 4/2014
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-014-0402-z

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