• DocumentCode
    2219007
  • Title

    An efficient processor allocation scheme for mesh connected parallel computers

  • Author

    Upadhyay, Jatin ; Mohapatra, Prasant

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    1995
  • fDate
    25-28 Oct 1995
  • Firstpage
    196
  • Lastpage
    203
  • Abstract
    Several processor allocation schemes are proposed in the literature for mesh connected parallel computers. All these schemes aim at improving the system performance by reducing internal fragmentation or by enhancing the submesh recognition ability. In this paper, we propose an approach of system partitioning to reduce external fragmentation and thereby improve the system performance. The target systems considered here are two-dimensional meshes where the side lengths are powers of two. Processors are allocated to a partitioned mesh based on their submesh size requirements. The proposed scheme can be implemented in conjuaction with any of the existing schemes and thereby can also exploit the advantages offered by those schemes. The performance measurements are done through simulation experiments. Completion time for a fixed number of jobs, internal and external fragmentation, and system utilazation are obtained. It is observed that, in most cases, the proposed scheme demonstrates better performance. Time complexity of the proposed scheme is less by a factor of n compared to the corresponding allocation scheme without partitioning, where n=log 2{min (width or height of the mesh)}
  • Keywords
    computational complexity; parallel machines; performance evaluation; processor scheduling; resource allocation; mesh connected; parallel computers; performance measurements; processor allocation; system partitioning; system performance; time complexity; Application software; Concurrent computing; Fast Fourier transforms; Measurement; Partitioning algorithms; Sorting; System performance; Topology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1995. Proceedings. Seventh IEEE Symposium on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1063-6374
  • Print_ISBN
    0-81867195-5
  • Type

    conf

  • DOI
    10.1109/SPDP.1995.530684
  • Filename
    530684