• DocumentCode
    1845754
  • Title

    Complete LU decomposition conjugate residual method and its performance for large-scale circuit simulation

  • Author

    Yajima, Akio ; Yamamoto, Fujio ; Morioka, Toshiyuki ; Sugihara, Hitoshi

  • Author_Institution
    Hitachi Ltd., Tokyo, Japan
  • fYear
    1988
  • fDate
    7-9 June 1988
  • Firstpage
    619
  • Abstract
    A method for solving large unsymmetric (LU) systems of linear equations arising from circuit transient analysis is proposed. This approach is based on the conjugate residual method, but is reinforced by the stability of LU decomposition. Unlike other preconditioned iterative methods, complete LU decomposition of a matrix at a previous time point is taken as a preconditioner of the current matrix to be solved. Only after the iterative process is judged to be nonconvergent is the current matrix decomposed. A novel test for the halt residual reduction is used to detect such a situation. Using this method, 10 LSI circuits with matrices ranging from 35 to 3668 equations have been analyzed. Correct transient solutions were obtained with only one to seven LU decompositions per hundred Newton-Raphson iterations and 8 to 40 iterations of conjugate residual on the average.<>
  • Keywords
    circuit analysis computing; iterative methods; large scale integration; matrix algebra; transient response; LSI circuits; LU decomposition conjugate residual method; Newton-Raphson iterations; circuit transient analysis; halt residual reduction; large-scale circuit simulation; matrix decomposition; preconditioned iterative methods; Circuits; Convergence; Equations; Gold; Large scale integration; Large-scale systems; Matrix decomposition; Testing; Transient analysis; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1988., IEEE International Symposium on
  • Conference_Location
    Espoo, Finland
  • Type

    conf

  • DOI
    10.1109/ISCAS.1988.15002
  • Filename
    15002