Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster

Vincent W. Freeh, Feng Pan, Nandini Kappiah, David K. Lowenthal, Rob Springer

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

89 Scopus citations

Abstract

Recently, energy has become an important issue in high-performance computing. For example, supercomputers that have energy in mind, such as BlueGene/L, have been built; the idea is to improve the energy efficiency of nodes. Our approach, which uses off-the-shelf, high-performance cluster nodes that are frequency scalable, allows energy saving by scaling down the CPU. This paper investigates the energy consumption and execution time of applications from a standard benchmark suite (NAS) on a power-scalable cluster. We study via direct measurement and simulation both intra-node and inter-node effects of memory and communication bottlenecks, respectively. Additionally, we compare energy consumption and execution time across different numbers of nodes. Our results show that a power-scalable cluster has the potential to save energy by scaling the processor down to lower energy levels. Furthermore, we found that for some programs, it is possible to both consume less energy and execute in less time when using a larger number of nodes, each at reduced energy. Additionally, we developed and validated a model that enables us to predict the energy-time tradeoff of larger clusters.

Original languageEnglish (US)
Title of host publicationProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Pages4a
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
Event19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, United States
Duration: Apr 4 2005Apr 8 2005

Publication series

NameProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Volume2005

Other

Other19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
CountryUnited States
CityDenver, CO
Period4/4/054/8/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Freeh, V. W., Pan, F., Kappiah, N., Lowenthal, D. K., & Springer, R. (2005). Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster. In Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 (pp. 4a). [1419817] (Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005; Vol. 2005). https://doi.org/10.1109/IPDPS.2005.214