Static Scheduled Data-Driven Models for Parallel Expert Systems

Article type: Research Article

Authors: Tout, K.R. | Evans, D.J.^{; *}

Affiliations: Parallel Algorithm Research Centre, University of Technology, Loughborough, Leicestershire, LE11 3TU, U.K.

Correspondence: [*] To whom correspondence should be addressed.

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.

DOI: 10.3233/ICA-1993-1103

Journal: Integrated Computer-Aided Engineering, vol. 1, no. 1, pp. 29-41, 1993