An approach for parallelizing OPS5 production systems and a faster match, C based indexing scheme for hypercube machines

R. Shrivastava, S. Iyengar, D. Carver
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Abstract

An algorithm for reducing the amount of time spent by a production system in its MATCH phase is presented. The algorithm utilizes C language's arithmetic operations, which are not efficiently computed in standard production system languages, and also constricts the activity of the MATCH phase as performed in the OPS5 programming language. The parallelization is achieved by distributing the search amongst the nodes of a hypercube. The MATCH phase is an effort to satisfy the LHS (left hand side) of a PR (production rule) by the contents of a WM (working memory). C programming language was used for the implementation of the monkey-and-banana problem written in OPS5.<>
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一种并行化OPS5生产系统的方法和一种更快的匹配,基于C的超立方体机器索引方案
提出了一种减少生产系统在匹配阶段花费的时间的算法。该算法利用了C语言的算术运算,这在标准的生产系统语言中是无法高效计算的,并且还限制了在OPS5编程语言中执行的MATCH阶段的活动。并行化是通过在超立方体的节点之间分配搜索来实现的。MATCH阶段是通过WM(工作记忆)的内容来满足PR(生产规则)的LHS(左侧)。用C语言实现了用OPS5编写的猴子和香蕉问题。
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