Abstract
The CORSAR model software complex designed to analyze scheduling rules for resource-intensive heterogeneous problems of search type that can be parallelized with respect to data is described. In the course of searching for solutions, the original arrays are decomposed into separate informative fragments so that one can use sliding scheduling methods and optimize parallelizing processes when processing requests. Tasks are executed on a high-performance heterogeneous specialized computing system. The developed multiparametric model control scheme is invariant to types of computational resources, ensures their operation efficiency and scalability when the system is updated and evolving.
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