• DocumentCode
    531664
  • Title

    Jacobi and Gauss-Seidel preconditioned complex conjugate gradient method with GPU acceleration for finite element method

  • Author

    Dziekonski, Adam ; Lamecki, Adam ; Mrozowski, Michal

  • Author_Institution
    Dept. of Microwave & Antenna Eng., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    1305
  • Lastpage
    1308
  • Abstract
    In this paper two implementations of iterative solvers for solving complex symmetric and sparse systems resulting from finite element method applied to wave equation are discussed. The problem under investigation is a dielectric resonator antenna (DRA) discretized by FEM with vector elements of the second order (LT/QN). The solvers use the preconditioned conjugate gradient (pcg) method implemented on Graphics Processing Unit (GPU) along with two preconditioning techniques. Some of the proposed GPU implementations show remarkable speedup comparing to CPU-based implementation. Convergence of GPU and CPU implementations issue is also discussed.
  • Keywords
    computer graphic equipment; dielectric resonator antennas; finite element analysis; gradient methods; GPU acceleration; Gauss-Seidel preconditioned complex conjugate gradient method; Jacobi preconditioned complex conjugate gradient method; complex symmetric systems; dielectric resonator antenna; finite element method; graphics processing unit; iterative solvers; sparse systems; wave equation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (EuMC), 2010 European
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-7232-1
  • Type

    conf

  • Filename
    5616643