• DocumentCode
    397457
  • Title

    Analysis of antennas by FDTD method using parallel processing with MPI

  • Author

    Araujo, J.S. ; Santos, Ronaldo O. ; Sobrinho, C.L.S.S. ; Rocha, Johnny M. ; Guedes, Luiz A. ; Kawasaki, Regiane Y.

  • Author_Institution
    DEEC, Fed. Univ. of Para, Belem, Brazil
  • Volume
    2
  • fYear
    2003
  • fDate
    20-23 Sept. 2003
  • Firstpage
    1049
  • Abstract
    As far as we are concerned, the implementation of the Finite Differences in the Time Domain (FDTD) method requires, for the solutions of several practical problems in electromagnetism, a long process time and a large amount of memory, what makes it impracticable in various cases, principally when the serial process is used. The current work deals with the concept of a Beowulf cluster and it aims to implement the FDTD method using parallel process for the study of antennas. The obtained system efficiency is then tested in the analysis of two antennas, i. e., a horn antenna and a monopole antenna, what is done by comparing the time spent in the parallel and serial processing.
  • Keywords
    Maxwell equations; antenna feeds; antenna theory; application program interfaces; computational electromagnetics; finite difference time-domain analysis; horn antennas; message passing; monopole antennas; parallel processing; Beowulf cluster; E-plane sectoral antenna; FDTD method; Maxwell´s equations; feed line; horn antenna; message passing interface; microwave antennas; monopole antenna; parallel implementation; system efficiency; Computer architecture; Computer networks; Concurrent computing; Finite difference methods; Horn antennas; Magnetic analysis; Message passing; Parallel processing; Software libraries; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Optoelectronics Conference, 2003. IMOC 2003. Proceedings of the 2003 SBMO/IEEE MTT-S International
  • Print_ISBN
    0-7803-7824-5
  • Type

    conf

  • DOI
    10.1109/IMOC.2003.1242867
  • Filename
    1242867