• DocumentCode
    1462905
  • Title

    Solving Problems With Over One Billion Unknowns by the MLFMA

  • Author

    Pan, Xiao-Min ; Pi, Wei-Chao ; Yang, Ming-Lin ; Peng, Zhen ; Sheng, Xin-Qing

  • Author_Institution
    Center for Electromagn. Simulation, Beijing Inst. of Technol., Beijing, China
  • Volume
    60
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    2571
  • Lastpage
    2574
  • Abstract
    Using OpenMP to further accelerate the pure MPI parallel MLFMA, an efficient and flexible parallel multilevel fast multipole algorithm (MPI-OpenMP-MLFMA) is proposed. Compared with previous MPI parallel schemes, the MPI-OpenMP-MLFMA improves the load-balance and scalability greatly. The computational capability of the proposed MPI-OpenMP-MLFMA is demonstrated by computing scattering from two extremely large targets: a sphere with a diameter of 1200 wavelengths, modeled by 1,063,706,700 unknowns, and an airplane model with the largest dimension of 1600 wavelengths, involving 288,151,344 unknowns.
  • Keywords
    electromagnetic wave scattering; shared memory systems; MPI parallel MLFMA; OpenMP; electromagnetic wave scattering; parallel multilevel fast multipole algorithm; Acceleration; Antennas; Computational modeling; Instruction sets; MLFMA; Message systems; Scattering; Electromagnetic scattering; MPI; OpenMP; parallelization; shared memory systems;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2012.2189746
  • Filename
    6164224