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Application of Supercomputer Technologies for Simulation of Socio-Economic Systems

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  • Okrepilov, V. V.
  • Makarov, V. L.
  • Bakhtizin, A. R.
  • Kuzmina, S. N.

Abstract

To date, an extensive experience has been accumulated in investigation of problems related to quality, assessment of management systems, modeling of economic system sustainability. The studies performed have created a basis for formation of a new research area — Economics of Quality. Its tools allow to use opportunities of model simulation for construction of the mathematical models adequately reflecting the role of quality in natural, technical, social regularities of functioning of the complex socioeconomic systems. Extensive application and development of models, and also system modeling with use of supercomputer technologies, on our deep belief, will bring the conducted researches of social and economic systems to essentially new level. Moreover, the current scientific research makes a significant contribution to model simulation of multi-agent social systems and that isn’t less important, it belongs to the priority areas in development of science and technology in our country. This article is devoted to the questions of supercomputer technologies application in public sciences, first of all, — regarding technical realization of the large-scale agent-focused models (AFM). The essence of this tool is that owing to increase in power of computers it became possible to describe the behavior of many separate fragments of a difficult system, as social and economic systems represent. The article also deals with the experience of foreign scientists and practicians in launching the AFM on supercomputers, and also the example of AFM developed in CEMI RAS, stages and methods of effective calculating kernel display of multi-agent system on architecture of a modern supercomputer will be analyzed. The experiments on the basis of model simulation on forecasting the population of St. Petersburg according to three scenarios as one of the major factors influencing the development of social and economic system and quality of life of the population are presented in the conclusion.

Suggested Citation

  • Okrepilov, V. V. & Makarov, V. L. & Bakhtizin, A. R. & Kuzmina, S. N., 2015. "Application of Supercomputer Technologies for Simulation of Socio-Economic Systems," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 1(2), pages 340-350.
    • Handle: RePEc:aiy:journl:v:1:y:2015:i:2:p:340-350
    DOI: 10.15826/recon.2015.2.016
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    References listed on IDEAS

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    1. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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    1. Viktoria V. Akberdina & Andrey I. Volodin & Roman V. Gubarev & Evgeniy I. Dzyuba & Fanil’ S. Fayzullin, 2020. "Models of public investment management at regional level," Upravlenets, Ural State University of Economics, vol. 11(1), pages 45-56, March.
    2. Irina V. Gashenko & Svetlana G. Vokina & Dmitry G. Romanov & Tatiana L. Bezrukova & Yuri А. Kozenko, 2016. "Theoretical and Methodological Aspects of Innovation Development in Modern Economic Systems," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 10(4), December.
    3. Dmitrii Tverdyi & Roman Parovik, 2023. "Hybrid GPU–CPU Efficient Implementation of a Parallel Numerical Algorithm for Solving the Cauchy Problem for a Nonlinear Differential Riccati Equation of Fractional Variable Order," Mathematics, MDPI, vol. 11(15), pages 1-21, July.

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