Supercomputers and Intelligent Technologies in High-Performance Computations

  • Ivan V. Sergienko
Part of the Springer Optimization and Its Applications book series (SOIA, volume 78)


Early 1980s saw the beginning of the development of the new architecture of multiprocessor supercomputers. At the same time, macro-pipeline computing system was developed in Ukraine. The industrial samples of the first multiprocessor computing complex ES-1766 with distributed memory and high efficiency of parallel processes for solving problems were created. In the beginning of the 1980s, macro-pipeline organization of computations led to nearly linear increase in the productivity of computers with increasing number of processors. In subsequent years along with increasing computers productivity, new problems were emerging of their efficient utilization for solving scientific and engineering problems. To overcome them, Institute of Cybernetics developed intelligent technologies of highly efficient computations for cluster architecture supercomputers from SCIT family, developed the class of knowledge-oriented intelligent workstations INPARKOM, implemented grid technologies, and initiated the development of hybrid-architecture computers.


Computer Solution Grid Technology Linear Algebraic System Interprocessor Communication Intelligent Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 85.
    Koval’, V.M., Krivonos, Yu.G., Ryabchun, S.G., Sergienko, I.V.: Multiprocessor Computing System. Patent of Ukraine: Patent for Utility Model No. 17725, UA, MPK, G06F15/16, u 200603465 of 30 Mar. 2006 (2006)Google Scholar
  2. 116.
    Molchanov, I.N.: Intellectual computers as a tool for investigation and solution of scientific and technical problems. Cybern. Syst. Anal 40(1), 145–149 (2004)CrossRefGoogle Scholar
  3. 117.
    Molchanov, I.N., Perevozchikova, O.L., Khimich, A.N.: Inparcom-16: an intelligent workstation. Cybern. Syst. Anal 43(3), 439–442 (2007)CrossRefGoogle Scholar
  4. 126.
    Perevozchikova, O.L., Tulchinsky, V.G., Yushchenko, R.A.: Design and optimization of parallel computers for processing mass data. Cybern. Syst. Anal 42(4), 559–569 (2006)CrossRefzbMATHGoogle Scholar
  5. 154.
    Sergienko, I., Koval’, V.: SCIT: a Ukrainian supercomputer project. Visnyk NAN Ukr., No. 8, 3–13 (2005)Google Scholar
  6. 160.
    Khimich, A.N., Molchanov, I.N., Popov, A.V., Chistyakova, T.V., Yakovlev, M.F.: Parallel Solution Algorithms for Problems of Computational Mathematics [in Russian]. Naukova Dumka, Kyiv (2008)Google Scholar
  7. 166.
    Khimich, A.N., Molchanov, I.N., Mova, V.I., Perevozchikova, O.L., et al.: Numerical Software for the Intelligent MIMD Computer INPARKOM [in Russian]. Naukova Dumka, Kyiv (2007)Google Scholar
  8. 167.
    Mikhalevich, V.S., Bik, N.A., Molchanov, I.N., Sergienko, I.V., et al.: Numerical Methods for the ES Multiprocessor Computing System [in Russian]. VVIA im. N. E. Zhukovskogo, Moscow (1986)Google Scholar
  9. 195.
    Moltschanow, I., Galba, Ye., Popov, A., Chimitsch, A., Tschistyakowa, T., Jakowlew, M.: Intelligente Umgebung zur Untersuchung und Lösung wissenschaftlich-technischer Aufgaben auf Parallelrechnern (ISPAR), 01 IR 64113, des BMBF, Germany (1998)Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ivan V. Sergienko
    • 1
  1. 1.V. M. Glushkov Cybernetics InstituteNational Academy of Sciences of UkraineKievUkraine

Personalised recommendations