• DocumentCode
    632787
  • Title

    Keynote speaker: Big data: A scientific visualization perspective

  • Author

    Hansen, Charles

  • Author_Institution
    Comput. Sci., Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2013
  • fDate
    Feb. 27 2013-March 1 2013
  • Abstract
    Summary form only given. Modern high performance computers have speeds measured in petaflops and handle data set sizes measured in terabytes and petabytes. In the next decade (or less) we will see exascale computational resources. Although these machines offer enormous potential for solving very large-scale realistic computational problems, their effectiveness will hinge upon the ability of human experts to interact with their simulation results and extract useful information. One of the greatest scientific challenges of the 21st century is to effectively understand and make use of the vast amount of information being produced. Visual data analysis will be among our most important tools in helping to understand such large-scale information.
  • Keywords
    data analysis; data visualisation; big data scientific visualization; data set sizes; exascale computational resources; large-scale information; large-scale realistic computational problems; visual data analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization Symposium (PacificVis), 2013 IEEE Pacific
  • Conference_Location
    Sydney, NSW
  • ISSN
    2165-8765
  • Type

    conf

  • DOI
    10.1109/PacificVis.2013.6596119
  • Filename
    6596119