Organization of Parallel Computing on Hybrid Computing Clusters Using Fuzzy Intellectual Analysis

The paper proposes a software and hardware model for organizing parallel computing on hybrid computing clusters, aimed at creating tools for converting parallel programs into a hybrid form. A method has been developed for organizing the execution of parallel programs on hybrid computing clusters using compatible fuzzy cognitive maps, focused on advanced capabilities of the proposed hardware–software environment model, taking into account various hardware and software indicators, allowing to reduce the share of exchange operations performed through slow network interfaces.