11 May 1987 Parallel Fuzzy Reasoning On Mesh-Connected Fine-Grain Computer Architectures
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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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. A. Eshera, M. A. Eshera, J. W. Lewis, J. W. Lewis, "Parallel Fuzzy Reasoning On Mesh-Connected Fine-Grain Computer Architectures", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940626; https://doi.org/10.1117/12.940626


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