• DocumentCode
    476516
  • Title

    Implementation of matrix-type FDTD algorithm on a graphics accelerator

  • Author

    Dziekonski, Adam ; Sypek, Piotr ; Kulas, Lukasz ; Mrozowski, Michal

  • Author_Institution
    Dept. of Microwave & Antenna Eng., Gdansk Univ. of Technol., Gdansk
  • fYear
    2008
  • fDate
    19-21 May 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents initial conclusions concerning the implementation of matrix-type FDTD algorithm on a low cost graphics accelerator (Nvidia GeForce GT 512 MB, 1.188 GHz) in CUDA (compute unified device architecture). Authors of this article pose a question as to whether using the graphics accelerator based on SIMD architecture (single instruction, multiple data) is reasonable in programming a matrix-type FDTD algorithm, then results of tests meant to compare the efficiency of sequential and parallel implementation are presented.
  • Keywords
    computer graphic equipment; finite difference time-domain analysis; mathematics computing; parallel processing; CUDA; SIMD architecture; compute unified device architecture; graphics accelerator; matrix-type FDTD algorithm; single instruction multiple data; Acceleration; Biology computing; Central Processing Unit; Computational electromagnetics; Computer architecture; Computer graphics; Finite difference methods; Signal processing algorithms; Sparse matrices; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-83-906662-8-0
  • Type

    conf

  • Filename
    4630162