• DocumentCode
    866161
  • Title

    Parallel Computing Experiences with CUDA

  • Author

    Garland, Michael ; Grand, Scott Le ; Nickolls, John ; Anderson, Joshua ; Hardwick, Jim ; Morton, Scott ; Phillips, Everett ; Zhang, Yao ; Volkov, Vasily

  • Author_Institution
    NVIDIA, Santa Clara, CA
  • Volume
    28
  • Issue
    4
  • fYear
    2008
  • Firstpage
    13
  • Lastpage
    27
  • Abstract
    The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA´s Tesla GPU architecture delivers high computational throughput on massively parallel problems. This article surveys experiences gained in applying CUDA to a diverse set of problems and the parallel speedups over sequential codes running on traditional CPU architectures attained by executing key computations on the GPU.
  • Keywords
    coprocessors; parallel processing; CUDA programming model; NVIDIA; Tesla GPU architecture; parallel computing; sequential codes; Central Processing Unit; Computer architecture; Computer graphics; Concurrent computing; Kernel; Parallel processing; Parallel programming; Programming profession; Throughput; Yarn;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2008.57
  • Filename
    4626815
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=866161