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Publication date:
16 June 2024

The Editorial Board / Shabanov Boris Mikhailovich

Dr.Sc. (Engineering), Corresponding Member of the Russian Academy of Sciences, an expert in designing, creating and using universal high-performance computing systems and complexes. Boris Shabanov is the Director of the Joint Supercomputer Center of the Russian Academy of Sciences, a Deputy Director for Science at SRISA RAS.

Boris Shabanov is a member of the editorial board of the Supercomputers journal, a member of the Bureau of the Scientific Council of the Russian Academy of Sciences “High-Performance Computing Systems and Telecommunications”, a member of the editorial board of the Software & Systems journal. He is also the author of 76 academic papers including 5 monographs and 1 textbook. Boris is engaged in teaching work, heads the departments of the National Research University of Electronic Technology (MIET) and the Moscow State University of Information Technologies, Radio Engineering and Electronics. He is a laureate of the Russian Federation state prize in Science and Technology, as well as the prize of the Russian Federation Government in Education.

 

Education and experience:

Boris Shabanov has graduated from MEI university.

In 1986-1994 he had been a scientific secretary of the Institute of Cybernetics Problems of the USSR Academy of Sciences.

1991 – PhD thesis defense.

2019 – defense of his doctorate.

Since 1991 – a Deputy Director for Science at the Institute of Cybernetics Problems of the USSR Academy of Sciences.

From 1994 to 1998 – a Deputy Director for Science at the Institute of High-Performance Computing Systems of the Russian Academy of Sciences.

Since 1998 – a Deputy Director for Research at the Joint Supercomputer Center of the Russian Academy of Sciences (JSC RAS).

Since 2015 – a Director of the JSC RAS, a branch of the Science at SRISA RAS.

 

Main scientific results:

 

  • developing methods to create hierarchical memory systems in high-performance computing systems of vector-pipeline and cluster type using modern high-speed integrated circuits and microprocessors;
  • researching and developing methods and techniques for organizing vector and parallel computing in various types of computing systems and complexes;
  • creating a development concept and principles of multi-profile computing complexes and environments based on heterogeneous information processing and storage systems using the latest network technologies, which were introduced during the creation of the computing complex of the JSC RAS, which has a number of developed supercomputer systems and their modifications.

 

Research interests:

  • creating high-performance computing systems and complexes;
  • parallel programs for heterogeneous computing systems;
  • cluster computing systems;
  • creating supercomputer systems.

 

https://www.niisi.ru/shabanov.htm

https://parallel.ru/russia/people/shabanov.html

http://www.mathnet.ru/php/person.phtml?option_lang=rus&personid=62379

 

REFERENCES (last 5 years):

  1. Abramov A.G., Evseev A.V., Gonchar A.A., Shabanov B.M. Issues of increasing the network bandwidth and territorial accessibility of national research computer network of russia. Systems and Means of Informatics, 2022, vol. 32, no. 2, pp. 4–12. DOI: https://doi.org/10.14357/08696527220201.
  2. Abramov A.G., Gonchar A.A., Evseev A.V., Shabanov B.M. National Research Computer Network of Russia: development plans, role and facilities in ensuring the functioning of the National Supercomputer Infrastructure. Communications in Computer and Information Science, 2021, vol. 1510, pp. 472–486. DOI: 10.1007/978-3-030-92864-3_36.
  3. Abramov A.G., Evseev A.V., Gonchar A.A., Telegin P.N., Shabanov B.M. National Research Computer Network of Russia: regulatory status and plans for the development of regional telecommunications infrastructure in 2021-2024. Proc. VI Int. Conf. ITHPC-2021, CEUR Workshop Proc., 2021, vol. 2930, pp. 29–37.
  4. Abramov A.G., Gonchar A.A., Evseev A.V., Shabanov B.M. Development of criteria for connecting scientific and educational organizations to the national research computer network. J. of Information Technologies and Computing Systems, 2021, no. 2, pp. 22–33. DOI: 10.14357/20718632210203.
  5. Abramov A.G., Evseev A.V., Gonchar A.A., Shabanov B.M. National Research Computer Network of Russia as an infrastructure and service platform for a common digital space of scientific knowledge. Proc. Int. Conf. CDSSK–2020, CEUR Workshop Proc., 2021, vol. 2990, pp. 75–83.
  6. Shabanov B.M., Baranov A.V, Telegin P.N., Tikhomirov A. Influence of execution time forecast accuracy on the efficiency of scheduling jobs in a distributed network of supercomputers. PaCT, Lecture Notes in Computer Science, 2021, vol. 12942, pp. 338–347. DOI: 10.1007/978-3-030-86359-3_25.
  7. Shabanov B.M., Rybakov A.A., Shumilin S.S., Vorobyov M.Yu. Scaling of supercomputer calculations on unstructured surface computational meshes. Lobachevskii Journal of Mathematics, 2021, vol. 42, no. 11, pp. 2571–2579. DOI: 10.1134/S1995080221110202.
  8. Aladyshev O.S., Kiselev E.A., Zakharchenko A.V., Shabanov B.M., Savin G.I. Influence of external memory characteristics of supercomputer complexes on parallel programs execution. Lobachevskii Journal of Mathematics, 2021, vol. 42, no. 11, pp. 2493–2502. DOI: 10.1134/S1995080221110044.
  9. Kiselev E.A., Telegin P.N., Shabanov B.M. An energy-efficient scheduling algorithm for shared facility supercomputer centers. Lobachevskii Journal of Mathematics, 2021, vol. 42, no. 11, pp. 2554–2561. DOI: 10.1134/s1995080221110147.
  10. Dikarev N.I., Shabanov B.M., Shmelev A.S. Advantages and disadvantages of using the pointer vector method in a vector dataflow processor. Program Systems: Theory and Applications. 2021, vol. 12, no. 4, pp. 65–83. DOI: 10.25209/2079-3316-2020-11-4-55-71.
  11. Shabanov B.M., Rybakov A.A., Chopornyak A.D. Optimizations applied to the control flow graph of the program for improving the efficiency of flat loop vectorization. Proc. SRISA RAS. 2021, vol. 11, no. 2, pp. 11–19.
  12. Savin G.I., Shabanov B.M., Lyakhovets D., Baranov A.V., Telegin P.N. Simulator of a supercomputer job management system as a scientific service. Proc. Federated Conf. on Computer Science and Information Systems, 2020, pp. 413–416. DOI: 10.15439/2020F208.
  13. Shabanov B.M., Kuznetsova E.A., Rybakov A.A. Features of dataflow processor emulator implementing. Lobachevskii Journal of Mathematics, 2020, vol. 41, no. 12, pp. 2614–2620. DOI: 10.1134/S1995080220120379.
  14. Savin G.I., Shabanov B.M., Rybakov A.A., Shumilin S.S. Vectorization of flat loops of arbitrary structure using instructions AVX-512. Lobachevskii Journal of Mathematics, 2020, vol. 41, no. 12, pp. 2575–2592. DOI: 10.1134/S1995080220120331.
  15. Savin G.I., Shabanov B.M., Fedorov R.S., Baranov A.V., Telegin P.N. Checkpointing tools in a supercomputer center. Lobachevskii Journal of Mathematics, 2020, vol. 41, no. 12, pp. 2603–2613. DOI: 10.1134/S1995080220120355.
  16. Savin G.I., Shabanov B.M., Nikolaev D.S., Baranov A.V., Telegin P.N. Jobs runtime forecast based on MVS-100K and MVS-10P supercomputers statistics. Lobachevskii Journal of Mathematics, 2020, vol. 41, no. 12, pp. 2593–2602. DOI: 10.1134/S1995080220120343.
  17. Savin G.I., Shabanov B.M., Baranov A.V., Ovsyannikov A.P., Gonchar A.A. On the use of the federal scientific telecommunications infrastructure for supercomputing. Bulletin of the South Ural State Univ., 2020, vol. 9, no. 1, pp. 20–35. DOI: 10.14529/CMSE200102.
  18. Shabanov B.M., Samovarov O.I. Building the software defined data center. Proc. of ISP RAS. 2018, vol. 30, no. 6, pp. 7–24. DOI: 10.15514/ISPRAS-2018-30(6)-1.
  19. Dikarev N.I., Shabanov B.M., Shmelev A.S. Structure store implementation in vector dataflow processor. Proceedings. of ISP RAS, 2019, vol. 9, no. 6, pp. 156–160.
  20. Chopornyak A.D., Shabanov B.M. Modern approaches and technologies used to create and modernize promising systems in the early life cycle stages. Proc. SRISA RAS, 2019, vol. 9, no. 6, pp. 60–66. DOI: 10.25682/NIISI.2019.6.0008.
  21. Baranov A.V., Telegin P.N., Shabanov B.M., Lyakhovets D. Measure of adequacy for the supercomputer job management system model. Proc. Federated Conf. on Computer Science and Information Systems, vol. 18, pp. 423–426. DOI: 10.15439/2019F186.
  22. Savin G.I., Shabanov B.M., Telegin P.N., Baranov A.V. Joint supercomputer center of the Russian Academy of sciences: Present and future. Lobachevskii Journal of Mathematics, 2019, vol. 40, no. 11, p. 1853–1862. DOI: 10.1134/s1995080219110271.