• DocumentCode
    1825773
  • Title

    Scalable RF propagation modeling on the IBM Blue Gene/L and Cray XT5 supercomputers

  • Author

    Bauer, David W., Jr. ; Carothers, Christopher D.

  • Author_Institution
    MITRE Corp., McLean, VA, USA
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    779
  • Lastpage
    787
  • Abstract
    We present a performance analysis for a highly accurate, large-scale electromagnetic wave propagation model on two modern supercomputing platforms: the Cray XT5 and the IBM Blue Gene/L. The electromagnetic wave model is used to simulate the physical layer of a large-scale mobile ad-hoc network of radio devices. The model is based on the numerical technique called Transmission Line Matrix, and is implemented in a Time Warp simulation package that employs reverse computation for the rollback mechanism. Using Rensselaer´s Optimistic Simulation System we demonstrate better than real-time, scalable parallel performance for network scenarios containing up to one million mobile radio devices, highly accurate RF propagation and high resolution, large-scale complex terrain.
  • Keywords
    ad hoc networks; electromagnetic wave propagation; mainframes; mobile radio; parallel machines; time warp simulation; transmission line matrix methods; Cray XT5 supercomputers; IBM Blue Gene/L supercomputers; Rensselaer´s optimistic simulation system; electromagnetic wave propagation model; large-scale complex terrain; mobile ad-hoc network; radio devices; reverse computation; rollback mechanism; scalable RF propagation modeling; time warp simulation package; transmission line matrix; Analytical models; Computational modeling; Electromagnetic modeling; Electromagnetic propagation; Electromagnetic scattering; Large-scale systems; Performance analysis; Radio frequency; Supercomputers; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2009 Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-5770-0
  • Type

    conf

  • DOI
    10.1109/WSC.2009.5429676
  • Filename
    5429676