Document Type

Article

Publication Date

2020

DOI

10.4236/jcc.2020.812014

Publication Title

Journal of Computer and Communications

Volume

8

Issue

12

Pages

142-158

Abstract

To improve the power consumption of parallel applications at the runtime, modern processors provide frequency scaling and power limiting capabilities. In this work, a runtime strategy is proposed to distribute a given power allocation among the cluster nodes assigned to the application while balancing their performance change. The strategy operates in a timeslice-based manner to estimate the current application performance and power usage per node followed by power redistribution across the nodes. Experiments, performed on four nodes (112 cores) of a modern computing platform interconnected with Infiniband showed that even a significant power budget reduction of 20% may result in a performance degradation of as low as 1% under the proposed strategy compared with the execution in the unlimited power case

Rights

Copyright © 2020 by Authors and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Original Publication Citation

Sundriyal, V., & Sosonkina, M. (2020). Distributed strategy for power re-allocation in high performance applications. Journal of Computer and Communications, 8(12), 142-158. https://doi.org/10.4236/jcc.2020.812014

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