• DocumentCode
    3774635
  • Title

    Scalable parallel programming

  • Author

    John Nickolls;Ian Buck;Michael Garland

  • Author_Institution
    NVIDIA, Kevin Skadron, University of Virginia, USA
  • fYear
    2008
  • Firstpage
    40
  • Lastpage
    53
  • Abstract
    The advent of multicore CPUs and manycore GPUs means that mainstream processor chips are now parallel systems. Furthermore, their parallelism continues to scale with Moore´s law. The challenge is to develop mainstream application software that transparently scales its parallelism to leverage the increasing number of processor cores, much as 3D graphics applications transparently scale their parallelism to manycore GPUs with widely varying numbers of cores.
  • Keywords
    "Graphics processing units","Scalability","Parallel processing","Computer architecture","Computational modeling","Parallel programming"
  • Publisher
    ieee
  • Conference_Titel
    Hot Chips 20 Symposium (HCS), 2008 IEEE
  • Type

    conf

  • DOI
    10.1109/HOTCHIPS.2008.7476525
  • Filename
    7476525
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3774635