• DocumentCode
    1337213
  • Title

    A domain decomposition finite-difference method for parallel numerical implementation of time-dependent Maxwell´s equations

  • Author

    Lu, Yijun ; Shen, C.Y.

  • Author_Institution
    Dept. of Math., Simon Fraser Univ., Burnaby, BC, Canada
  • Volume
    45
  • Issue
    3
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    556
  • Lastpage
    562
  • Abstract
    A domain decomposition technique together with an implicit finite-difference scheme is used to design a parallel algorithm to solve for electromagnetic scattering in the time-domain by an infinite square metallic cylinder. The implicit difference scheme yields second-order accuracy, unconditional stability, and at each time step, a large system of linear equations. The domain decomposition technique reduces the solution of this large system to that of many independent smaller subsystems. The present algorithm can be easily implemented on coarse-grain parallel vector supercomputers to obtain a speedup close to the number of available central processing units (CPUs)
  • Keywords
    Maxwell equations; computational complexity; electromagnetic wave scattering; finite difference time-domain analysis; numerical stability; parallel algorithms; parallel machines; physics computing; CPU; EM wave propagation; central processing units; coarse-grain parallel vector supercomputers; domain decomposition finite-difference method; electromagnetic scattering; infinite square metallic cylinder; linear equations; parallel algorithm; parallel numerical implementation; second-order accuracy; speedup; time-dependent Maxwell´s equations; time-domain solution; unconditional stability; Algorithm design and analysis; Central Processing Unit; Difference equations; Electromagnetic scattering; Finite difference methods; Parallel algorithms; Stability; Supercomputers; Time domain analysis; Vectors;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.558671
  • Filename
    558671