• DocumentCode
    980482
  • Title

    Massively parallel simulation algorithms for grid-based analog signal processors

  • Author

    Lumsdaine, Andrew ; Silveira, L. Miguel ; White, Jacob K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
  • Volume
    12
  • Issue
    11
  • fYear
    1993
  • fDate
    11/1/1993 12:00:00 AM
  • Firstpage
    1665
  • Lastpage
    1678
  • Abstract
    This paper presents the algorithms for CMVSIM, a program for performing the transient simulation of grid based analog signal processors on a massively parallel computer. A grid-based equation formulation approach and a block-diagonal preconditioned CGS algorithm are described, and it is shown how they are used to efficiently perform transient simulation using the massively parallel Connection Machine. Experimental results using CMVSIM to simulate realistic image processing circuits are given to demonstrate that the algorithms presented are effective for a general class of grid-based signal processors. In particular, the results presented demonstrate that CMVSIM: running on a full-size Connection Machine can be as much as 650 times faster than what is, to the authors´ knowledge, the fastest serial transient simulation algorithm running on a SUN-4/490 workstation
  • Keywords
    analogue processing circuits; circuit analysis computing; digital simulation; parallel algorithms; transient response; CMVSIM; block-diagonal preconditioned CGS algorithm; grid-based analog signal processors; grid-based equation formulation approach; image processing circuits; massively parallel Connection Machine; massively parallel simulation algorithms; transient simulation; Analog computers; Circuit simulation; Computational modeling; Computer simulation; Concurrent computing; Equations; Grid computing; Image processing; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/43.248077
  • Filename
    248077