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Parallel Rule-Based Fuzzy Inference on Mesh-Connected Systolic Arrays
Winter 1989 (vol. 4 no. 4)
pp. 27-35

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.

Citation:
M.A. Eshera, X.C. Barash, "Parallel Rule-Based Fuzzy Inference on Mesh-Connected Systolic Arrays," IEEE Intelligent Systems, vol. 4, no. 4, pp. 27-35, Winter 1989, doi:10.1109/64.43283
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