• DocumentCode
    1850681
  • Title

    Aligning block permutation methods for topology transformation on computational grids

  • Author

    Chen, Uei-Ren ; Lin, Woei

  • Author_Institution
    Dept. of Electron. Eng., Hsiuping Inst. of Technol., Taiwan
  • Volume
    1
  • fYear
    2010
  • fDate
    1-3 Aug. 2010
  • Abstract
    This Traditional parallel matrix computing algorithms usually perform on the regular resource topologies, such as a mesh. However, the grid resource topology is often irregular. To perform traditional parallel algorithms on a modern grid environment, the transformation method of grid resource topology for a virtual mesh is proposed in this paper. The basic idea of our transformation is based on the aligning block permutation in a virtual mesh. To utilize efficiently the computational and communicational abilities of grid resources, a heuristic search method is used in this transformation. The experiment results show that the aligning block permutation can reduce the time complexity of search tree and the heuristic search can find the block permutation with better utilization computational and communicational abilities of resources in computational grids.
  • Keywords
    computational complexity; grid computing; matrix algebra; mesh generation; parallel algorithms; aligning block permutation method; computational grids; grid resource topology; grid resources communicational ability; heuristic search method; parallel matrix computing algorithm; regular resource topology; search tree time complexity reduction; topology transformation; virtual mesh; Complexity theory; Cost function; Joining processes; Network topology; Parallel algorithms; Search methods; Topology; aligning block permutation; computational grid; grid resource topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Information Engineering (ICEIE), 2010 International Conference On
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-7679-4
  • Electronic_ISBN
    978-1-4244-7681-7
  • Type

    conf

  • DOI
    10.1109/ICEIE.2010.5559666
  • Filename
    5559666