• DocumentCode
    2369874
  • Title

    Optimization of large structures on multiprocessor machines

  • Author

    Adeli, Hojjat ; Kamal, Osama

  • Author_Institution
    Dept. of Civil Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    1990
  • fDate
    30 Sep-2 Oct 1990
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    For the minimum-weight design of structures, the authors present parallel algorithms that are particularly suitable for optimization of large structures such as space stations. The parallel algorithms have been implemented in C on an Encore Multimax shared-memory multiprocessor computer using the concept of cheap concurrency and threads (H. Adeli and O. Kamal, 1989). Emphasis is directed toward parallelizing each computational step of the solution process. Parallel algorithms are developed to ensure the best concurrent performance and speedup within each step. A partitioning algorithm is used to achieve the best workload balance during the solution of the generalized displacements
  • Keywords
    concurrency control; multiprocessing systems; parallel algorithms; C; Encore Multimax shared-memory multiprocessor computer; concurrency; generalized displacements; large structures optimisation; minimum-weight design; multiprocessor machines; parallel algorithms; partitioning algorithm; space stations; workload balance; Algorithm design and analysis; Assembly; Boundary conditions; Equations; Flowcharts; Iterative algorithms; Performance analysis; Stress; Vectors; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 1990. Proceedings., Second IEEE Workshop on Future Trends of
  • Conference_Location
    Cairo
  • Print_ISBN
    0-8186-2088-9
  • Type

    conf

  • DOI
    10.1109/FTDCS.1990.138335
  • Filename
    138335