Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs

Min Yeol Lim, Vincent W. Freeh, David K. Lowenthal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

123 Scopus citations

Abstract

Although users of high-performance computing are most interested in raw performance, both energy and power consumption have become critical concerns. Some microprocessors allow frequency and voltage scaling, which enables a system to reduce CPU performance and power when the CPU is not on the critical path. When properly directed, such dynamic frequency and voltage scaling can produce significant energy savings with little performance penalty.This paper presents an MPI runtime system that dynamically reduces CPU performance during communication phases in MPI programs. It dynamically identifies such phases and, without profiling or training, selects the CPU frequency in order to minimize energy-delay product. All analysis and subsequent frequency and voltage scaling is within MPI and so is entirely transparent to the application. This means that the large number of existing MPI programs, as well as new ones being developed, can use our system without modification. Results show that the average reduction in energy-delay product over the NAS benchmark suite is 10% - -the average energy reduction is 12% while the average execution time increase is only 2.1%.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06
DOIs
StatePublished - Dec 1 2006
Externally publishedYes

Publication series

NameProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06

ASJC Scopus subject areas

  • Computer Science(all)

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    Lim, M. Y., Freeh, V. W., & Lowenthal, D. K. (2006). Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs. In Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06 [1188567] (Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06). https://doi.org/10.1145/1188455.1188567