• DocumentCode
    1278108
  • Title

    Extreme Data-Intensive Scientific Computing

  • Author

    Szalay, Alexander S.

  • Author_Institution
    The Johns Hopkins University
  • Volume
    13
  • Issue
    6
  • fYear
    2011
  • Firstpage
    34
  • Lastpage
    41
  • Abstract
    Scientific computing increasingly involves massive data; in astronomy, observations and numerical simulations are on the verge of generating petabytes. This new, data-centric computing requires a new look at computing architectures and strategies. Using Amdahl´s law to characterize architectures and workloads, it´s possible to use existing commodity parts to build systems that approach an ideal Amdahl machine.
  • Keywords
    astronomy computing; computer architecture; data handling; numerical analysis; Amdahl law; Amdahl machine; astronomy computing; computing architectures; extreme data-intensive scientific computing; numerical simulations; petabytes; Analytical models; Astronomy; Computational modeling; Data models; Data storage; Database systems; Scientific computing; Amdahl machine; Scientific computing; astronomy; massive datasets; simulations;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2011.74
  • Filename
    5959140
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1278108