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2007 International Conference on Parallel Processing (ICPP 2007) (2007)
Xi'an, China
Sept. 10, 2007 to Sept. 14, 2007
ISSN: 0190-3918
ISBN: 0-7695-2933-X
pp: 19
Ziliang Zong , Auburn University, USA
Xiao Qin , Auburn University, USA
Xiaojun Ruan , Auburn University, USA
Kiranmai Bellam , Auburn University, USA
Mais Nijim , University of Southern Mississippi, Hattiesburg, USA
Mohamed Alghamdi , New Mexico Institute of Mining and Technology, USA
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has prevented the further application of large-scale clusters. Designing energy-efficient scheduling algorithms for parallel applications running on clusters, especially on the high performance heterogeneous clusters, is highly desirable. In this regard, we propose a novel scheduling strategy called energy efficient task duplication schedule (EETDS for short), which can significantly conserve power by judiciously shrinking communication energy cost when allocating parallel tasks to heterogeneous computing nodes. We present the preliminary simulation results for Gaussian and FFT parallel task models to prove the efficiency of our algorithm.

Z. Zong, M. Alghamdi, M. Nijim, X. Ruan, K. Bellam and X. Qin, "Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters," 2007 International Conference on Parallel Processing(ICPP), Xi'an, 2007, pp. 19.
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