A.I. Vlasov1, S.V. Kuzmina2, S.S. Makarov3, F.M. Petrovichev4, V.A. Shakhnov5

1–5 Bauman Moscow State Technical University (Moscow, Russia)

Problem. In the existing conditions of import substitution of high-tech electronic products, there is a need to consider the hardware and software platform "Elbrus" as a basis for building both user and specialized computing systems of domestic development. Taking into account the prospects for the development of the "Elbrus" platform, its hardware and software capabilities, it seems appropriate to develop recommendations in the field of practical application and promising configurations of dual-use computing complexes.

Target. To analyze the capabilities of the "Elbrus" hardware and software platform and identify the prospects for its use in dual-use computing tools.

Results. The hardware and software capabilities of the "Elbrus" platform are analyzed. It is shown that at the moment the "Elbrus" platform is suitable for building both user and specialized computing systems on its basis. Promising configurations of computing systems are proposed and recommendations for their further development and application are given. The positions of general-purpose microprocessors in the market are investigated, estimates of stability and the existence of dependence on the development of production technology are obtained. Examples of the use of the "Elbrus" platform and the results of the analysis of the effectiveness of its application are presented.

Practical significance. The results of the work can be used to create various types of computing complexes based on the "Elbrus" form boards. The given capabilities of the "Elbrus" platform make it possible to create promising configurations based on it, which, in turn, can be presented on the consumer market of computing complexes of domestic development. Also, the results of the work can be used to solve issues within the framework of the import substitution program when promoting the "Elbrus" platform in the interests of expanding the scope of its application and adapting to the configurations of computing systems already used today.

Vlasov A.I., Kuzmina S.V., Makarov S.S., Petrovichev F.M., Shakhnov V.A. Analysis of solutions for the dual use of computing facilities on the "Elbrus" platform. Neurocomputers: development, application. 2023. T. 25. № 1. С. 46–62. DOI: https://doi.org/10.18127/ j19998554-202301-02

1. Bilibin K.I., Vlasov A.I., Zhuravleva L.V., Makarchuk V.V., Myslovskiy E.V., Parfenov O.D., Pirogova E.V., Shakhnov V.A., Sherstnev V.V. Design and technological design of electronic equipment. Textbook for universities. M. 2005. 568 p. (in Russian).
2. Kurnosenko A.E., Shakhnov V.A. Digital transformation in preparation for the production of electronics products. Automation. Modern technologies. 2021. V. 75. № 2. P. 51–56.
3. Akberdina V.V., Kalinina A.V., Vlasov A.I. Transformation stages of the Russian industrial complex in the context of economy digitalization. Problems and Perspectives in Management. 2018. V. 16. № 4. P. 201–211.
4. Alferov Zh.I. On the state and prospects for the development of semiconductor electronics in Russia. Nano- and microsystem technology. 2005. No. 8. P. 2–19 (in Russian).
5. JSC "MCST". Microprocessors and VLSI. Electronic resource. Access mode: http://www.mcst.ru/chips, date of reference 25.04.2022.
6. Kim A.K. Computer technology for RSC: history and prospects of "Elbrus" projects. Russian engineer. 2009. No. 4. P. 118–119 (in Russian).
7. Kim A.K., Feldman V.M. Issues of creating supercomputers based on the architectural platform "Elbrus". Devices. 2009. No. 1(103).
   P. 36–46 (in Russian).
8. Tarakanova D.Yu., Liber Yu.S., Gyulmalieva S.E. Review of microprocessors "Elbrus" of the 6th and 7th generations. Correctional-pedagogical education: electronic journal. 2021. No. 5(29). P. 176–181 (in Russian).
9. Volkonsky V.Yu., Kim A.K., Nazarov L.N., Perekatov V.I., Feldman V.M. Microprocessors and computer systems of the Russian company MCST. Electronics: Science, Technology, Business. 2008. No. 8. P.62–69 (in Russian).
10. Kim A.K., Bychkov I.N., Volkonsky V.Yu., Vorobushkov V.V., Gruzdov F.A., Mikhailov M.S., Neiman-zadeh M.I., Parakhin Yu.N., Semenikhin S.V., Slesarev M.V., Feldman V.M. Russian technologies "Elbrus" for personal computers, servers and supercomputers. Abstracts of the IX International Scientific and Practical Conference "Modern Information technologies and IT education". M.: Lomonosov Moscow State University. 2014. P. 39–49 (in Russian).
11. Konyukhov S.S., Tyutlyaeva E.O., Odintsov I.O., Moskovsky A.A. Evaluation of the potential of using the "Elbrus" platform for high performance computing. Proceedings of the International Conference "Supercomputer Days in Russia". M.: Lomonosov Moscow State University. 2016. P. 373–385 (in Russian).
12. Druzhinina O.V., Korepanov E.R., Belousov V.V. Analysis of the features of using fast algorithms to solve problems of modeling nonlinear systems using the Elbrus computing platform. Nonlinear World. 2022. V. 20. No. 3. З. 5–16. DOI 10.18127/j20700970-202203-01 (in Russian).
13. Karasev A.A., Danilov E.A. Overview of the history of the development of microprocessors on the example of INTEL microprocessors. International Student Scientific Bulletin. 2018. No. 3-2. P. 290–292 (in Russian).
14. Moore G.E. Cramming more components onto integrated circuits. Electronic resource. Access mode: https://hasler.ece.gatech.edu/Publi-shed _papers/Technology_overview/gordon_moore_1965_article.pdf, date of reference 27.08.2018.
15. Kolesnikov N.A., Letuchy S.V. Moore's Law and modern problems. Scientific, technical and economic cooperation of the APR countries in the XXI century. 2020. No. 2. P. 336–341 (in Russian).
16. Parakhin Yu.N., Sevalnev O.S., Terentyev Yu.I., Moroz Ya.N., Tokarev D.S. Features of physical design of microprocessors based on 90 nm technologies. Questions of radio electronics. 2012. V. 4. No. 3. P. 119–131 (in Russian).
17. Playing for a long time: how the pandemic is changing the demand for laptops in Russia. Electronic resource. Access mode: https://trends. rbc.ru/ trends/industry/cmrm/619624859a7947ad0b7492fc, date of reference 13.05.2022.
18. Mustafin T.R., Alekhin A.I., Kravtsunov E.M., Makaev B.O. A secure environment for the execution of critical applications in embedded systems based on computing tools of the "Elbrus" family. Radio industry. 2019. No. 1. P. 16–22 (in Russian).
19. Mishin A.A. Research and comparative evaluation of the effectiveness of the architecture "Elbrus". Innovative, information and communication technologies. 2019. No. 1. P. 91–95 (in Russian).
20. Bocharov N.A., Zuev A.G., Slavin O.A. The performance of the "Elbrus-8SV" microprocessor for solving problems of technical vision in conditions of limited energy consumption. News of the SFU. Technical sciences. 2021. № 1(218). P. 259–271 (in Russian).
21. Mini-ITX Standard Specification. Electronic resource. Access mode: https://www.intel.com/Проверено, date of reference 11.03.2022.
22. A brief description of the architecture of "Elbrus". Electronic resource. Access mode: http://www.elbrus.ru/elbrus_arch, date of reference 22.04.2022.
23. Znamensky D., Blinnikov A. Hardware support for virtualization of the "Elbrus" architecture. Electronics: Science, technology, business. 2020. No. 5(196). P. 60–67 (in Russian).
24. Tachkov A.A., Kozov A.V., Vukolov A.Yu. Features of porting Robot Operating System to the hardware and software platform "Elbrus". Software products and systems. 2019. No. 4. P. 655–664 (in Russian).
25. Moroz Ya.N., Tokarev D.S. Features of topological planning of cores of high-performance processors of the "Elbrus" family. Nanoindustry. 2018. No. S(82). P. 103–109 (in Russian).
26. Budylin V.K., Polishchuk I.A., Slesarev M.V., Yurlin S.V. Prototyping experience of microprocessors of CJSC "MCST". Questions of radio electronics. 2012. No. 3. P. 132–142 (in Russian).
27. Bocharov N.A. Hardware and software platform "Elbrus" for solving problems of artificial intelligence. Nanoindustry. 2021. V. 14. No. S7(107). P. 638–640 (in Russian).
28. Druzhinina O.V., Korepanov E.R., Belousov V.V. Masina O.N., Petrov A.A. Development of instrumental support of the "Elbrus 801-PC" computing platform in the tasks of neural network modeling of nonlinear dynamic systems. Nonlinear World. 2021. V. 19. No. 1. P. 15-28. DOI 10.18127/j20700970-202101-02 (in Russian).
29. Khimich S.A., Kolesov Yu.S., Glukhov A.V., Sharafeev T.R. Implementation of relay protection functions of automation of digital electrical substations using computing complexes of the "Elbrus" family. Radio industry. 2019. No. 1. P. 23–28 (in Russian).
30. Shakhnov V.A., Vlasov A.I., Polyakov Yu.A., Kuznetsov A.S. Neurocomputers: architecture and circuit engineering. M.: Mechanical Engineering Publishing House. 2000. 64 p. (in Russian).
31. Vlasov A.I. Hardware implementation of neurocomputing control systems. Devices and systems. Management, control, diagnostics. 1999. No. 2. P. 61–65 (in Russian).
32. Akhmetov N.R., Vlasov A.I., Dimitrov D.A., Du H., Zhalnin V.P., Shakhnov V.A., Shanin A.V., Sherstyuk A.E. Promising element base for smart systems in the conditions of digital transformation of industry. Sensors and systems. 2021. No. 1(254). P. 9–17 (in Russian).
33. Prudius A.A., Karpunin A.A., Vlasov A.I. Analysis of machine learning methods to improve efficiency of Big Data processing in Industry 4.0. Journal of Physics: Conference Series. 2019. P. 032065.
34. Bychkov I.N., Chuchko P.A. Solutions for computer equipment based on the processor "ELBRUS-8SV". Nanoindustry. 2019. No. S(89).
    P. 57–59 (in Russian).