• DocumentCode
    2490005
  • Title

    Allocation time-based processor allocation scheme for 2D mesh architecture

  • Author

    Zhu, Xiaomei ; Lin, Wei-Ming

  • Author_Institution
    Div. of Eng., Texas Univ., San Antonio, TX, USA
  • fYear
    1998
  • fDate
    14-16 Dec 1998
  • Firstpage
    447
  • Lastpage
    451
  • Abstract
    The mesh is a widely used architecture in parallel computing systems. Research on efficient allocation of processors to incoming tasks on a mesh architecture is very important in achieving the desired high performance. The processor allocation strategy proposed in this paper is based on a well-known boundary search approach by considering allocation time similarity as another primary allocation decision-making factor. In this proposed technique, an additional novel heuristic is employed to consider allocating tasks with similar allocation times with submeshes adjacent to each other, whenever feasible. The external fragmentation problem is expected to be alleviated, which leads to improvement in, better utilization and shorter task waiting time. Our simulation results demonstrate a substantial improvement
  • Keywords
    heuristic programming; parallel architectures; parallel machines; performance evaluation; resource allocation; search problems; 2D mesh architecture; allocation time; boundary search approach; decision making; external fragmentation problem; heuristic; parallel architecture; parallel computing systems; performance; processor allocation scheme; simulation; Computational modeling; Computer architecture; Costs; Decision making; Delay effects; High performance computing; Parallel processing; Resource management; Search methods; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems, 1998. Proceedings. 1998 International Conference on
  • Conference_Location
    Tainan
  • ISSN
    1521-9097
  • Print_ISBN
    0-8186-8603-0
  • Type

    conf

  • DOI
    10.1109/ICPADS.1998.741114
  • Filename
    741114