• DocumentCode
    2627591
  • Title

    Parallel network dual simplex method on a shared memory multiprocessor

  • Author

    Thulasiraman, K. ; Chalasani, Raghu P. ; Comeau, M.A.

  • Author_Institution
    Concordia Univ., Montreal, Que., Canada
  • fYear
    1993
  • fDate
    1-4 Dec 1993
  • Firstpage
    408
  • Lastpage
    415
  • Abstract
    We present a parallel algorithm for solving the dual transshipment problem. The traditional dual simplex method does not offer much scope for parallelization, because it moves from one basic feasible solution to another, performing one pivot operation at a time. We present a new method called modified network dual simplex method which uses concurrent pivots. This departure from the traditional LP approach raises several issues such as the need to convert a non-basic feasible solution to a basic feasible solution. We present our strategies to handle these issues as well as the corresponding parallel algorithms. We also present results of testing this algorithm on large graphs to solve the integrated layout compaction and wire balancing problem
  • Keywords
    directed graphs; graph theory; optimisation; parallel algorithms; shared memory systems; concurrent pivots; dual transshipment problem; integrated layout compaction; modified network dual simplex method; parallel algorithms; shared memory multiprocessor; wire balancing problem; Compaction; Design methodology; Joining processes; Linear programming; Parallel algorithms; Relaxation methods; Testing; Tree graphs; Very large scale integration; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1993. Proceedings of the Fifth IEEE Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-4222-X
  • Type

    conf

  • DOI
    10.1109/SPDP.1993.395504
  • Filename
    395504