Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering, APITECH-III 2021

Год издания: 2021

Идентификатор DOI: 10.1088/1742-6596/2094/3/032058

Аннотация: 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. © 2021 Institute of Physics Publishing. All rights reserved.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 2094, Is. 3

Номера страниц: 32058

ISSN журнала: 17426588

Издатель: IOP Publishing Ltd

• Efimov S.N. (Siberian State University of Science and Technology named after M. F. Reshetnev, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660014, Russian Federation, Siberian Federal University, 79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation)
• Terskov V.A. (Siberian State University of Science and Technology named after M. F. Reshetnev, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660014, Russian Federation, Siberian Federal University, 79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation)
• Sakash I.Y. (Krasnoyarsk State Agrarian University, 90, Mira Av., Krasnoyarsk, 660049, Russian Federation)
• Molokov V.V. (Siberian Law Institute of the Ministry of Internal Affairs of Russia, 20, Rokossovskogo Str., Krasnoyarsk, 660130, Russian Federation)
• Nikiforov D.L. (Siberian State University of Science and Technology named after M. F. Reshetnev, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660014, Russian Federation)

• Scopus
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