• DocumentCode
    2523296
  • Title

    On the Impact of Energy-Efficient Strategies in HPC Clusters

  • Author

    Rossi, Fabio D. ; Xavier, Miguel G. ; Monti, Yuri J. ; De Rose, Cesar A. F.

  • Author_Institution
    Pontifical Catholic Univ. of Rio Grande do Sul, Rio Grande, Brazil
  • fYear
    2015
  • fDate
    4-6 March 2015
  • Firstpage
    17
  • Lastpage
    21
  • Abstract
    Energy-aware management strategies are a recent trend towards achieving energy-efficient computing in HPC clusters. One of the approaches behind those strategies is to apply energy-saving states on idle nodes, alternating them among different sleep states that reflect on many power consumption levels. This paper investigated the way such energy-efficient strategies affected the job turnaround time - the elapsed time between when the job is submitted and when the job is completed, including the wait time as well as the job´s actual execution time - in these clusters. Based on the results we proposed a Best-Fit Energy-Aware Strategy that switches the nodes to a sleep state, depending on the throughput of the resource manager´s job queue. We simulated the proposed strategy using the SimGrid simulator. Our preliminary results showed a reduction of up to 19% in the overall energy consumption and give us a better understanding of the trade-offs involved in using energy-efficient strategies.
  • Keywords
    parallel processing; power aware computing; HPC clusters; SimGrid simulator; best-fit energy aware strategy; energy aware management strategies; energy efficient computing; energy-efficient strategies; idle nodes; power consumption levels; resource manager; Context; Energy consumption; Hardware; Measurement; Power demand; Processor scheduling; Turning; Energy-aware management; HPC cluster; performance evaluation; power consumption; sleep states;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
  • Conference_Location
    Turku
  • ISSN
    1066-6192
  • Type

    conf

  • DOI
    10.1109/PDP.2015.122
  • Filename
    7092694