Parallelism in embedded microprocessor systems based on clustering

Abstract

The paper suggests a generic model for compilation and definition of explicit parallelism in embedded computing systems (ECS), based on clustering. It also describes a ruleoriented production model of an expert system for analyzing implicit parallelism that employs a criteria-based fuzzy-set approach, the number of such criteria equal to the number of ECS modules, and also on the microprogram's memory capacity, the system's performance, etc.

Mathematical support and software for data processing in robotic neurocomputer systems

“…The theoretical and practical results of the study have been used for development (in cooperation with the Institute of Machinery Studies, Russian Academy of Science) of a specialized neurocomputing robotic device based on neuroprocessors for automated control of modules in electric-mechanical systems (specifically, hexapods) in a near real-time mode [10][11][12][13].…”