• DocumentCode
    1307002
  • Title

    Data-Intensive Science in the US DOE: Case Studies and Future Challenges

  • Author

    Ahrens, James P. ; Hendrickson, Bruce ; Long, Gabrielle ; Miller, Steve ; Ross, Robert ; Williams, Dean

  • Author_Institution
    Los Alamos Nat. Lab., Los Alamos, NM, USA
  • Volume
    13
  • Issue
    6
  • fYear
    2011
  • Firstpage
    14
  • Lastpage
    24
  • Abstract
    Given its leading role in high-performance computing for modeling and simulation and its many experimental facilities, the US Department of Energy has a tremendous need for data-intensive science. Locating the challenges and commonalities among three case studies illuminates, in detail, the technical challenges involved in realizing data-intensive science.
  • Keywords
    data handling; natural sciences computing; US department of energy; data intensive science; experimental facilities; high performance computing; Analytical models; Computational modeling; Data models; Distributed databases; Laboratories; Meteorology; US Department of Energy; Data-intensive science; data management; high-performance computing; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2011.77
  • Filename
    5999634
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1307002