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PMaC's green queue: a framework for selecting energy optimal DVFS configurations in large scale MPI applications
Author(s) -
Peraza Joshua,
Tiwari Ananta,
Laurenzano Michael,
Carrington Laura,
Snavely Allan
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3184
Subject(s) - frequency scaling , computer science , supercomputer , xeon , parallel computing , queue , clock rate , message passing interface , operating system , power (physics) , message passing , computer network , telecommunications , chip , physics , quantum mechanics
Summary This article presents Green Queue, a production quality tracing and analysis framework for implementing application aware dynamic voltage and frequency scaling (DVFS) for message passing interface applications in high performance computing. Green Queue makes use of both intertask and intratask DVFS techniques. The intertask technique targets applications where the workload is imbalanced by reducing CPU clock frequency and therefore power draw for ranks with lighter workloads. The intratask technique targets balanced workloads where all tasks are synchronously running the same code. The strategy identifies program phases and selects the energy‐optimal frequency for each by predicting power and measuring the performance responses of each phase to frequency changes. The success of these techniques is evaluated on 1024 cores on Gordon, a supercomputer at the San Diego Supercomputer Center built using Intel Xeon E5‐2670 (Sandybridge) processors. Green Queue achieves up to 21% and 32% energy savings for the intratask and intertask DVFS strategies, respectively. Copyright © 2013 John Wiley & Sons, Ltd.