Abstract
In this article we discuss two parallel data-driven models together with their implementations on multiprocessor systems. The parallel models use a static scheduling strategy and are for a rule-based expert system. All the models are domain independent. The results indicate satisfactory speed-up performance for a small number of processors (<10) and a reasonably large number of rules.
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