• DocumentCode
    1534742
  • Title

    In Situ Visualization at Extreme Scale: Challenges and Opportunities

  • Author

    Kwan-Liu Ma

  • Author_Institution
    Univ. of California, Davis, CA, USA
  • Volume
    29
  • Issue
    6
  • fYear
    2009
  • Firstpage
    14
  • Lastpage
    19
  • Abstract
    In situ visualization is clearly a promising solution for ultrascale simulations. We´ve seen some success in realizing this solution and in ongoing efforts to add support for in situ visualization to open source visualization toolkits such as ParaView and Visit. However, for others to adopt this approach, we need further research and experimental studies to derive a set of guidelines and usable visualization software components. If this research is successful, it will lead to a new visualization and data-understanding infrastructure, potentially change how scientists work, and accelerate scientific discovery. This paper discusses critical issues in realizing in situ visualization and suggest important research directions.
  • Keywords
    data visualisation; public domain software; software tools; ParaView toolkit; Visit toolkits; data visualization; in situ visualization; open source visualization toolkits; Acceleration; Guidelines; Open source software; Visualization; computer graphics; scalability; scientific discovery; supercomputing; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2009.120
  • Filename
    5307638