• DocumentCode
    78009
  • Title

    Addressing Partitioning Issues in Parallel Circuit Simulation

  • Author

    Paul, Deleglise ; Achar, Ramachandra ; Nakhla, Michel S. ; Nakhla, Natalie M.

  • Author_Institution
    Mentor Graphics Corp., Ottawa, ON, Canada
  • Volume
    22
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    2713
  • Lastpage
    2723
  • Abstract
    With the rapidly increasing demands for high-speed and high-density electronic products, complexity and size of the associated circuits have increased significantly in the recent years. The large size of these circuits poses major challenges for simulation in terms of excessive CPU cost. To address this, a parallel circuit simulation algorithm has been recently developed that allows modern multicore processors to be exploited to realize higher parallel scalability with an increasing number of CPUs. In this paper, several methods have been proposed to improve efficiency and flexibility during the partitioning of analog circuits. The proposed methods reduce the constraints for partitioning, allowing a more efficient set of partitions to be found, which improves scalability when used in a parallel implementation.
  • Keywords
    analogue circuits; circuit simulation; multiprocessing systems; analog circuit partitioning; multicore processors; parallel circuit simulation algorithm; Circuit simulation; Computational modeling; Integrated circuit modeling; Partitioning algorithms; Scalability; Vectors; Very large scale integration; Circuit simulation; SPICE; SPICE.; distributed computing; multicore; parallel simulation;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2013.2295358
  • Filename
    6725673