• DocumentCode
    1221869
  • Title

    A parallel and vectorial implementation of basic linear algebra subroutines in iterative solving of large sparse linear systems of equations

  • Author

    Magnin, H. ; Coulomb, J.l.

  • Author_Institution
    Lab. d´´Electrotech. de Grenoble, ENSIEG, St. Martin d´´Heres, France
  • Volume
    25
  • Issue
    4
  • fYear
    1989
  • fDate
    7/1/1989 12:00:00 AM
  • Firstpage
    2895
  • Lastpage
    2897
  • Abstract
    Electromagnetic field analysis by finite element methods, which involve the solution of large sparse systems of linear equations, is discussed. Though no discernible structure for the distribution of nonzero elements can be found (e.g. multidiagonal structures), subsets of independent equations can be determined. Equations that are in the same subset are then solved in parallel. A good choice for the storage scheme of sparse matrices is also very important to speed up the resolution by vectorization. The modifications made to data structures are presented, and the possibility of using other schemes is discussed
  • Keywords
    electromagnetic field theory; finite element analysis; iterative methods; linear algebra; parallel processing; subroutines; EM field analysis; data structures; finite element methods; iterative method; large sparse linear systems; linear algebra subroutines; linear equations; parallel implementation; sparse matrices; vectorial implementation; vectorization; Algorithms; Electromagnetic fields; Finite element methods; Linear algebra; Linear systems; Nonlinear equations; Parallel processing; Sparse matrices; Symmetric matrices; Vectors;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.34317
  • Filename
    34317