• DocumentCode
    2137233
  • Title

    FDTD simulations with 1011 unknowns using AVX and SSD on a consumer PC

  • Author

    Simon, Winfried ; Lauer, Andreas ; Wien, Andreas

  • Author_Institution
    IMST GmbH, Kamp-Lintfort, Germany
  • fYear
    2012
  • fDate
    8-14 July 2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper presents how modern consumer PCs and server workstations can be used very efficiently for large scale FDTD simulations. The development of the computer systems in the last years going from single core CPUs to multi core CPUs with improved calculation extensions like AVX (Advanced Vector Extension) enables new possibilities for implementing fast FDTD algorithms. A new XPU calculation technique (software accelerated computing on modern CPUs) which speeds up FDTD simulations is explained and verified by several large and complex application examples. This XPU technique easily surpasses the speed and size of calculation on GPU cards by using consumer PCs.
  • Keywords
    finite difference time-domain analysis; graphics processing units; mathematics computing; multiprocessing systems; workstation clusters; AVX; CPU; FDTD simulations; GPU cards; SSD; XPU calculation; advanced vector extension; consumer PC; server workstations; software accelerated computing; Computational modeling; Finite difference methods; Graphics processing units; Memory management; Power dividers; Time domain analysis; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4673-0461-0
  • Type

    conf

  • DOI
    10.1109/APS.2012.6348422
  • Filename
    6348422