Abstract

Abstract: This paper describes the results of a five‐year research program on production systems carried out in Vienna by a large engineering group at the Alcatel‐Elin research laboratory. In the course of our investigations, a real‐time expert system shell, PAMELA, was developed. We describe features of PAMELA and discuss ways in which the matching algorithm can be speeded up. It was found that the single processor version is one of the most efficient forward chainers available worldwide. Since single processor enhancements have been widely explored, we concentrated our efforts on multiple processor architectures to provide further performance gain. Efficient exploitation of parallelism in production systems requires suitable algorithms for load‐balancing, without simultaneously increasing organisational or communication overheads. With this in mind, we developed a transputer‐based architecture which serves as a testbedfor our new parallel matching algorithm. The execution speeds of various expert systems based on PAMELA are presented.

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