• DocumentCode
    1790397
  • Title

    Study of GPU scalability

  • Author

    Kyu Hyun Choi ; Dongha Jung ; Seon Wook Kim ; Tae-ho Hwang ; Jin-san Kwon ; Dong-Sun Kim

  • Author_Institution
    Electr. & Comput. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    General-purpose Graphic Processing Units (GPGPUs) have been widely used to accelerate heavy compute-intensive applications. In a market the number of GPU cores on one chip are increased to maximize performance by exploiting thread-level parallelism (TLP). But memory system could be a bottleneck, and assigning more cores does not help faster execution. In this paper, we observe GPU core scalability issue, and analyze major causes of the performance degradation under many core configuration in perspective of memory latency.
  • Keywords
    graphics processing units; multiprocessing systems; GPU core scalability; many core configuration; memory latency; performance degradation; Acceleration; Benchmark testing; Computer architecture; Degradation; Graphics processing units; Instruction sets; Scalability; GPU; memory latency; scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
  • Conference_Location
    JeJu Island
  • Type

    conf

  • DOI
    10.1109/ISCE.2014.6884421
  • Filename
    6884421
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1790397