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
Link To Document :
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