• DocumentCode
    42049
  • Title

    Parallelization of Preconditioned MRTR Method With Eisenstat’s Technique by Means of Algebraic Multicolor Ordering

  • Author

    Tsuburaya, Tomonori ; Okamoto, Yoshifumi ; Sato, Shuji

  • Author_Institution
    Dept. of Electr. & Electron. Syst. Eng., Utsunomiya Univ., Utsunomiya, Japan
  • Volume
    51
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The performance of preconditioned Minimized Residual method based on the Three-term Recurrence formula of the conjugate gradient CG-type (MRTR) method has been demonstrated on various symmetric linear systems based on 3-D FEM. The symmetric Gauss-Seidel-preconditioned MRTR method with Eisenstat´s technique (MESGS-MRTR) has higher validity for reducing the elapsed time when a conventional PC is used. However, MESGS-MRTR cannot be parallelized, when a block preconditioner is adopted. Therefore, we propose a parallelized MESGS-MRTR method supported by algebraic multicolor ordering in the 3-D low-frequency electromagnetic problems. We present a performance comparison of the proposed method with block preconditioner using reverse Cuthill-McKee ordering.
  • Keywords
    computational electromagnetics; conjugate gradient methods; finite element analysis; iterative methods; matrix algebra; vectors; 3-D FEM; Eisenstat technique; algebraic multicolor ordering; conjugate gradient CG-type method; electromagnetism; minimized residual method; reverse Cuthill-McKee ordering; symmetric Gauss-Seidel-preconditioned MRTR method; Color; Eddy currents; Linear systems; Magnetic resonance imaging; Matrices; Sparse matrices; Symmetric matrices; Algebraic multicolor (AMC) ordering; Eisenstat???s technique; MRTR method; block preconditioner; parallel computation;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2014.2360036
  • Filename
    7093565