• DocumentCode
    1350556
  • Title

    GPUs and the Future of Parallel Computing

  • Author

    Keckler, Stephen W. ; Dally, William J. ; Khailany, Brucek ; Garland, Michael ; Glasco, David

  • Volume
    31
  • Issue
    5
  • fYear
    2011
  • Firstpage
    7
  • Lastpage
    17
  • Abstract
    This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address. Nvidia Research is investigating an architecture for a heterogeneous high-performance computing system that seeks to address these challenges.
  • Keywords
    computer graphic equipment; coprocessors; parallel processing; GPU-based high-throughput computing systems; Nvidia Research; graphics processing unit; high-performance computing system; parallel computing; single-chip parallel-computing system; Computer architecture; Graphics processing unit; Next generation networking; Parallel programming; Throughput; GPU; Parallel-computer architecture; energy-efficient computing;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2011.89
  • Filename
    6045685
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1350556