IMPLEMENTING AND ANALYZING THE PARALLEL RELEVANCE INFERENCE
The relevant LP-inference, which is based on the solution of logical equations, is an effective tool that can be used for research and optimization of production-logical systems. It allows to significantly reduce the number of external queries. However, the processing of large knowledge bases and their “deep” structure may require an excessive amount of computational resources of the computer. The paper describes the advanced LP-inference algorithm implementation based on the parallel computations, as well as the corresponding pseudo-codes and computing graphs. The benefits of parallel LP-inference are confirmed experimentally using mathematical statistics methods.