• DocumentCode
    1506232
  • Title

    Performance analysis of 2-D inverse fast cosine transform employing multiprocessors

  • Author

    Mahapatra, Rabi N. ; Kumar, Akhilesh ; Chatterji, B.N.

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
  • Volume
    45
  • Issue
    5
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    1323
  • Lastpage
    1335
  • Abstract
    The modeling and performance analysis of the two-dimensional (2-D) inverse fast cosine transform (FCT) algorithm on a multiprocessor has been considered. The computational and communication complexities of this algorithm on a shared bus, multistage interconnection network, and on mesh-connected multiprocessor architectures have been determined. The performance of the three multiprocessor architectures has been compared in terms of speedup, efficiency, and cost effectiveness. The evaluation shows that for this application, the indirect binary n-cube MIN connected multiprocessor architecture is the best in terms of speedup and efficiency among all three architectures considered
  • Keywords
    communication complexity; inverse problems; multiprocessor interconnection networks; network topology; performance evaluation; signal processing; system buses; transforms; 2D inverse fast cosine transform; communication complexity; computational complexity; cost effectiveness; digital signal processing; efficiency; indirect binary n-cube MIN architecture; mesh-connected multiprocessor architecture; multistage interconnection network; performance analysis; shared bus network; speedup; Computer architecture; Digital signal processing; Discrete cosine transforms; Discrete transforms; Flow graphs; Image coding; Image processing; Karhunen-Loeve transforms; Performance analysis; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.575703
  • Filename
    575703