• DocumentCode
    1480064
  • Title

    Extreme Scaling of Production Visualization Software on Diverse Architectures

  • Author

    Childs, Hank ; Pugmire, David ; Ahern, Sean ; Whitlock, Brad ; Howison, Mark ; Bhat, Pra ; Weber, Gunther H. ; Bethel, E. Wes

  • Author_Institution
    Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
  • Volume
    30
  • Issue
    3
  • fYear
    2010
  • Firstpage
    22
  • Lastpage
    31
  • Abstract
    This article presents the results of experiments studying how the pure-parallelism paradigm scales to massive data sets, including 16,000 or more cores on trillion-cell meshes, the largest data sets published to date in the visualization literature. The findings on scaling characteristics and bottlenecks contribute to understanding how pure parallelism will perform in the future.
  • Keywords
    parallel architectures; program visualisation; diverse architectures; extreme scaling; production visualization software; pure-parallelism paradigm; Computer architecture; Data visualization; Production; Dawn; Denovo; I/O performance; VisIt; computer graphics; graphics and multimedia; interprocess communication; many-core processing; petascale computing; pure parallelism; very large data sets; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2010.51
  • Filename
    5455820
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1480064