A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs

Endrei, Mark, Jin, Chao, Dinh, Minh, Abramson, David, Poxon, Heidi, DeRose, Luiz and De Supinski, Bronis R. (2018) A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs. Advances in Parallel Computing, 32 265-276. doi:10.3233/978-1-61499-843-3-265

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Author Endrei, Mark
Jin, Chao
Dinh, Minh
Abramson, David
Poxon, Heidi
DeRose, Luiz
De Supinski, Bronis R.
Title A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs
Journal name Advances in Parallel Computing
ISSN 1879-808X
ISBN 9781614998426
Publication date 2018-01-01
Sub-type Article (original research)
DOI 10.3233/978-1-61499-843-3-265
Open Access Status File (Author Post-print)
Volume 32
Start page 265
End page 276
Total pages 12
Place of publication Amsterdam, BG Netherlands
Publisher IOS Press
Language eng
Subject 1700 Computer Science
Abstract In order to operate within power supply constraints, the next generation of supercomputers must be energy efficient. Both the capacities of the target HPC system architecture and workload features impact the energy efficiency of parallel applications. These system and workload factors form a complicated optimization search space. Further, a typical workload may consist of multiple algorithmic kernels each with different power consumption patterns. Using the Parallel Research Kernels as a case study, we identify key bottlenecks that change the energy usage pattern and develop strategies that improve energy efficiency by optimizing both workload and system parameters in an automated manner. The method provides significant insights to identify repeatable, statistically significant energy saving opportunities for parallel applications at various scales.
Keyword Energy Efficiency
High Performance Computing
Power Usage
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes The final publication is available at IOS Press through http://dx.doi.org/10.3233/978-1-61499-843-3-265

Document type: Journal Article
Sub-type: Article (original research)
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Created: Fri, 23 Mar 2018, 00:17:56 EST