Abstract
The article presents the formulation of the problem of optimizing the structure of multiprocessor computing systems designed to solve control problems in real time. The features of this problem, which influence the choice of optimization methods, have been studied. It is concluded that this problem can be effectively solved using evolutionary methods of optimization. The considered models for finding performance can be used to optimize the architecture of multiprocessor computing systems. Besides, it should be taken into account that the resources allocated for the development and operation of computing systems are always limited. Therefore, it is advisable to consider the problem of optimizing the structure of a computing system as multi-criterial one: one criterion is the performance, and the other one is the cost of development and operation of the system. Acquired results can be used in development of multiprocessor computing systems for real-time systems, which is going to reduce the cost of development and operation of these control systems.
The problem of choosing the optimal performance in the multiprocessor computer system design
