V.N. Ruchkin1, B.V. Kostrov2, D.V. Grigorenko3, D.R. Pikulin4, E.V. Ruchkina5

1 Moscow University named after S.J. Vitte (Ryazan branch) (Moscow, Russia)
2,3,5 Ryazan state radioengineering university named after V.F. Utkin (Ryazan, Russia)
4 Ryazan state university named after S.А. Yesenina (Ryazan, Russia)
1 v.ruchkin@muv.ru, v.ruchkin@rsu-rzn.ru, 2 kostrov.b.v@evm.rsreu.ru, 3 info@rznprb.com, 4 d.pikulin@rsu-rzn.ru,
5 ek-ruchkina@yandex.ru

The possibilities of intelligent multi-core Cyber-Physical System on Chip (CPSoN) for providing high-quality properties of universality, scalability and energy-efficiency based on modern VLSI K1879ВМ8Я and software Neuro Matrix are shown. A methodology for intelligent management of neuroprocessor resources is proposed for the purpose of joint design of hardware and software (Co-Design) based on Intellectual Multiprocessing and set-theoretical equivalence of a group of algorithms, a group of cores and a group of robots on a chip. Mathematical formalization of the analysis of various structures is carried out for the purpose of an optimal choice allowing us to design software-reconfigurable multi-core neuroprocessor architecture for processing large data flows. Modeling multi-criteria control for choosing the best structure according to various technical characteristics is carried out with emphasis on significant speed up the work of neural network tools, accelerators and servers.

Ruchkin V.N., Kostrov B.V., Grigorenko D.V., Pikulin D.R., Ruchkina E.V. Hardware-software co-design of intelligent multi-core cyber-physical systems-on-chip with universality, scalability and energy-efficiency properties. Dynamics of complex systems. 2025. V. 19. № 2. P. 30–39. DOI: https://doi.org/10.18127/j19997493-202502-05 [in Russian]

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