Scalable Information Systems. 4th International ICST Conference, INFOSCALE 2009, Hong Kong, June 10-11, 2009, Revised Selected Papers

Research Article

Power Consumption Optimization of MPI Programs on Multi-core Clusters

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  • @INPROCEEDINGS{10.1007/978-3-642-10485-5_8,
        author={Yen-Jun Chen and Ching-Hsien Hsu and Kuan-Ching Li and Hsi-Ya Chang and Shuen-Tai Wang},
        title={Power Consumption Optimization of MPI Programs on Multi-core Clusters},
        proceedings={Scalable Information Systems. 4th International ICST Conference, INFOSCALE 2009, Hong Kong, June 10-11, 2009, Revised Selected Papers},
        proceedings_a={INFOSCALE},
        year={2012},
        month={5},
        keywords={Power Consumption multi-core processor cluster Computing MPI},
        doi={10.1007/978-3-642-10485-5_8}
    }
    
  • Yen-Jun Chen
    Ching-Hsien Hsu
    Kuan-Ching Li
    Hsi-Ya Chang
    Shuen-Tai Wang
    Year: 2012
    Power Consumption Optimization of MPI Programs on Multi-core Clusters
    INFOSCALE
    Springer
    DOI: 10.1007/978-3-642-10485-5_8
Yen-Jun Chen1,*, Ching-Hsien Hsu1,*, Kuan-Ching Li2,*, Hsi-Ya Chang3,*, Shuen-Tai Wang3,*
  • 1: Chung Hua University
  • 2: Providence University
  • 3: National Center for High-Performance Computing
*Contact email: Patrick@grid.chu.edu.tw, robert@grid.chu.edu.tw, kuancli@pu.edu.tw, jerry@nchc.org.tw, stwang@nchc.org.tw

Abstract

While the energy crisis and the environmental pollution become important global issues, the power consumption researching brings to computer sciences world. In this generation, high speed CPU structures include multi-core CPU have been provided to bring more computational cycles yet efficiently managing power the system needs. Cluster of SMPs and Multi-core CPUs are designed to bring more computational cycles in a sole computing platform, unavoidable extra energy consumption in loading jobs is incurred.