Prospects for Worlds & Ukraine’s Information Economy in Creating and Improving Supercomputers Based of NBIC-Technologies

Igor Matyushenko *

Department of International Economic Relations, School of International Economic Relations and Travel Business, V. N. Karazin Kharkiv National University, app.379, 6 Svobody Sq., 61022 Kharkiv, Ukraine

Olga Bilovska

Department of Travel Business, School of International Economic Relations and Travel Business, V. N. Karazin Kharkiv National University, app.379, 6 Svobody Sq. 61022 Kharkiv, Ukraine

Iuliia Makhanova

Department of International Economic Relations, School of International Economic Relations and Travel Business, V. N. Karazin Kharkiv National University, app.379, 6 Svobody Sq., 61022 Kharkiv, Ukraine

Volodimir Vovk

Department of International Economy and Management of International Economic Activity, School of International Economic Relations, Simon Kuznets Kharkiv National University of Economics, app.201, pr Science 9a, Administration Building, KNUE, 61001 Kharkiv, Ukraine

*Author to whom correspondence should be addressed.


Abstract

Aims: The aim of the article is to analyze the modern prospects of creating supercomputers for information economy in the World and improving supercomputers of SCIT family in Ukraine basing on NBIC-technologies.

Study Design: The reviews were carried out in the period 2009–14 on the basis of studying the world countries supercomputers development trends as well as on the basis of the research results obtained by Ukrainian academic institutions.

Place and Duration of Study: Department of International Economic Relations and Tourism Business of VN Karazin Kharkiv National University conducted the research between June 2016 and November 2016.

Methodology: Content analysis has been use as the main method of research, which allowed making a meaningful analysis of classic papers and researches of modern economists practitioners devoted to the peculiarities of the modern prospects of supercomputers creating for information economics in the World and Ukraine with using of NBIC-technologies. We also apply the methods of dialectic cognition, structural analysis and logic principles that provide for making authentic conclusions as regards the investigated topic.

Results: The article reviews modern trends in the World information economy development based on supercomputers with principally new schemes (e.g., cluster structure). This paper demonstrates that in the result of implementing comprehensive scientific-technical programs to develop supercomputers during 2009–2014 in Ukraine will create a multi-national grid network elements from a centralized management based supercomputers with cluster SCIT-structure that will allow to take into account sectoral and regional interests and ensure its integration into European and global IT-infrastructure.

Conclusion: The authors developed the modern prospects of creating supercomputers based on NBIC-technologies for information economics in Ukraine namely:

General many times growth of SCIT supercomputers productivity increase would ensure solving benchmark scientific-technical problems and public administration problems;

Qualitatively new level of parallel development of applications for graphic accelerators and flow-data architecture processors would be supported. Furthermore, tooling would be developed to be tested in the adaptation to hybrid clusters of the available intellectual IT and in developing the new intellectual IT; New intellectual IT to analyze and substantiate management decisions for economy and social sphere using knowledge bases and data bases would be developed and created.

 

Keywords: Information economics, supercomputers, SCIT cluster structure, NBIC-technologies, intellectual IT for economy


How to Cite

Matyushenko, Igor, Olga Bilovska, Iuliia Makhanova, and Volodimir Vovk. 2017. “Prospects for Worlds & Ukraine’s Information Economy in Creating and Improving Supercomputers Based of NBIC-Technologies”. Journal of Economics, Management and Trade 16 (2):1-12. https://doi.org/10.9734/BJEMT/2017/30613.

Downloads

Download data is not yet available.