• DocumentCode
    744362
  • Title

    Big Data: Next-Generation Machines for Big Science

  • Author

    Hack, James J. ; Papka, Michael E.

  • Author_Institution
    Oak Ridge Nat. Lab., Oak Ridge, TN, USA
  • Volume
    17
  • Issue
    4
  • fYear
    2015
  • Firstpage
    63
  • Lastpage
    65
  • Abstract
    Addressing the scientific grand challenges identified by the US Department of Energy´s (DOE´s) Office of Science´s programs alone demands a total leadership-class computing capability of 150 to 400 Pflops by the end of this decade. The successors to three of the DOE´s most powerful leadership-class machines are set to arrive in 2017 and 2018-the products of the Collaboration Oak Ridge Argonne Livermore (CORAL) initiative, a national laboratory-industry design/build approach to engineering next-generation petascale computers for grand challenge science. These mission-critical machines will enable discoveries in key scientific fields such as energy, biotechnology, nanotechnology, materials science, and high-performance computing, and serve as a milestone on the path to deploying exascale computing capabilities.
  • Keywords
    Big Data; natural sciences computing; parallel processing; Big Data; CORAL initiative; Collaboration Oak Ridge Argonne Livermore; US DOE; US Department of Energy; big science; leadership-class machines; mission-critical machines; national laboratory-industry design-build approach; next-generation petascale computers; Big data; Computational modeling; Computer architecture; Computer hacking; High performance computing; Next generation networking; Ports (Computers); Scientific computing; Supercomputers; HPC; High-performance computing; leadership; scientific computing; supercomputers;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2015.78
  • Filename
    7131411