• DocumentCode
    2908663
  • Title

    Energy-Aware High Performance Computing: A Taxonomy Study

  • Author

    Cai, Chang ; Wang, Lizhe ; Khan, Samee U. ; Tao, Jie

  • Author_Institution
    Sch. of Comput. Sci., China Univ. of Geosci., Wuhan, China
  • fYear
    2011
  • fDate
    7-9 Dec. 2011
  • Firstpage
    953
  • Lastpage
    958
  • Abstract
    To reduce the energy consumption and build a sustainable computer infrastructure now becomes a major goal of the high performance community. A number of research projects have been carried out in the field of energy-aware high performance computing. This paper is devoted to categorize energy-aware computing methods for the high-end computing infrastructures, such as servers, clusters, data centers, and Grids/Clouds. Based on a taxonomy of methods and system scales, this paper reviews the current status of energy-aware HPC research and summarizes open questions and research directions of software architecture for future energy-aware HPC studies.
  • Keywords
    power aware computing; Grids/Clouds; clusters; computer infrastructure; data centers; energy aware high performance computing; energy consumption; high performance community; servers; software architecture; taxonomy study; Computational modeling; Green products; Monitoring; Power demand; Program processors; Servers; USA Councils; Energy-aware Computing; Green Computing; High Performance Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on
  • Conference_Location
    Tainan
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4577-1875-5
  • Type

    conf

  • DOI
    10.1109/ICPADS.2011.59
  • Filename
    6121386