• DocumentCode
    822475
  • Title

    Parallel rule-based fuzzy inference on mesh-connected systolic arrays

  • Author

    Eshera, M.A. ; Barash, S.C.

  • Author_Institution
    Martin Marietta Lab., Baltimore, MD, USA
  • Volume
    4
  • Issue
    4
  • fYear
    1989
  • Firstpage
    27
  • Lastpage
    35
  • Abstract
    The authors describe a scheme for performing fuzzy-reasoning and fuzzy-inference operations in parallel on mesh-connected array processors such as the geometric arithmetic parallel processor (GAPP) and the advanced systolic array processor (ASAP). The reasoning mechanism is a general, fuzzy, rule-based inference network. The array is configured into stages, and the scheme operates in a pipeline configuration, where different sets of data move sequentially between the stages. The authors investigated the tradeoff between space and time complexity of the proposed technique and achieved a fast, space-efficient implementation of the approach. Before presenting the proposed system, they review briefly the concepts of inexact reasoning, fuzzy inference, and mesh-connected fine-grain parallel computer architecture.<>
  • Keywords
    fuzzy logic; inference mechanisms; parallel processing; advanced systolic array processor; fine-grain parallel computer architecture; fuzzy-inference operations; fuzzy-reasoning; geometric arithmetic parallel processor; mesh-connected systolic arrays; pipeline configuration; rule-based inference network; time complexity; Concurrent computing; Decision making; Distributed computing; Fuzzy systems; Humans; Inference mechanisms; Intelligent systems; Laboratories; Systolic arrays; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.43283
  • Filename
    43283