• DocumentCode
    3408413
  • Title

    Efficient techniques for distributed computing

  • Author

    Dramlitsch, Thomas ; Allen, Gabrielle ; Seidel, Edward

  • fYear
    2001
  • fDate
    2001
  • Firstpage
    435
  • Lastpage
    436
  • Abstract
    We discuss a set of novel techniques we are developing, which build on standard tools, to make distributed computing for large-scale simulations across multiple machines (even scattered across different continents) a reality. With these techniques we demonstrate that we are able to scale a tightly coupled scientific application in metacomputing environments. Such research and development in metacomputing will lead the way to routine, straightforward and efficient use of distributed computing resources anywhere around the world. This work applies not only to the large-scale simulations in astrophysics which provide the motivation for this work, but also opens the way for new, innovative application scenarios
  • Keywords
    astronomy computing; computer networks; digital simulation; distributed programming; resource allocation; astrophysics; distributed computing resources; innovative application scenarios; large-scale simulations; metacomputing environments; multiple machines; standard tools; tightly coupled scientific application; Astrophysics; Computational modeling; Computer applications; Continents; Costs; Distributed computing; Large-scale systems; Research and development; Scattering; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Distributed Computing, 2001. Proceedings. 10th IEEE International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1082-8907
  • Print_ISBN
    0-7695-1296-8
  • Type

    conf

  • DOI
    10.1109/HPDC.2001.945214
  • Filename
    945214