• DocumentCode
    669935
  • Title

    Power and performance of GPU-accelerated systems: A closer look

  • Author

    Abe, Y. ; Sasaki, Hiromu ; Kato, Shigeo ; Inoue, Ken ; Edahiro, Masato ; Peres, Martin

  • Author_Institution
    Kyushu Univ., Fukuoka, Japan
  • fYear
    2013
  • fDate
    22-24 Sept. 2013
  • Firstpage
    109
  • Lastpage
    110
  • Abstract
    In this paper, we have presented a characterization of power and performance for GPU-accelerated systems. We selected four different NVIDIA GPUs from three generations of the GPU architecture in order to demonstrate generality of our contribution. One of our findings is that the power efficiency characteristics differ such that the best configuration is not identical between the GPUs. This evidence encourages future work on the management of power and performance for GPU-accelerated systems to benefit from dynamic voltage and frequency scaling. In future work, we plan to develop a dynamic voltage and frequency scaling algorithm for GPU-accelerated systems.
  • Keywords
    graphics processing units; performance evaluation; power aware computing; GPU architecture; GPU-accelerated systems; NVIDIA GPU; dynamic frequency scaling algorithm; dynamic voltage scaling algorithm; power efficiency characteristics; power management; Benchmark testing; Computer architecture; Graphics processing units; Open source software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Workload Characterization (IISWC), 2013 IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-4799-0553-9
  • Type

    conf

  • DOI
    10.1109/IISWC.2013.6704675
  • Filename
    6704675