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Proceedings Paper

Parallel Fuzzy Reasoning On Mesh-Connected Fine-Grain Computer Architectures
Author(s): M. A. Eshera; J. W. Lewis
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Paper Abstract

This paper presents a scheme for very high-speed inexact reasoning and fuzzy inference configured for mesh-connected fine-grain parallel computer architectures. The underlying inference mechanism for the proposed scheme is a general rule-based fuzzy inference network. The inference rules are dis-tributed on the different processors of the array of processing elements and executed in parallel. The scheme also operates in a pipeline configuration in the array, where the array is configured into stages and different sets of data move between the stages. The tradeoff between space and time com-plexity of the proposed technique is discussed and we describe a space-efficient and fast implementation of the approach on the Geometric Array Parallel Processor, GAPP, which is an SIMD mesh-connected fine-grain archi-tecture developed by Martin Marietta Corporation. The proposed scheme achieves very high-speed performance on the GAPP.

Paper Details

Date Published: 11 May 1987
PDF: 9 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940626
Show Author Affiliations
M. A. Eshera, Martin Marietta Laboratories (United States)
J. W. Lewis, Martin Marietta Laboratories (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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