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Kinetic Model of Parallel Data Processing

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Parallel Computing Technologies (PaCT 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1662))

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Abstract

A new formal model of parallel computations — the Kirdin kinetic machine — is studied. It is expected that this model will play the role for parallel computations similar to Markov normal algorithms, Kolmogorov and Turing machine or Post schemes for sequential compu- tations. The basic ways in which computations are realized are described, correctness of the elementary programs for the Kirdin kinetic machine is investigated. It is proved that the determined Kirdin kinetic machine is an effective calculator. A simple application of the Kirdin kinetic machine — heap encoding — is suggested.

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References

  1. Kirdin A. N. Ideal ensemble model of parallel computations // Neural informatics and its applications. Abstracts of V all-Russia seminar. —Krasnoyarsk, KGTU, 1997. —p. 101: in Russian.

    Google Scholar 

  2. Gorbunova E. O. The analysis of elementary programs for ideal ensemble model of parallel computations // Abstracts of INPRIM-98. —Novosibirsk: izd-vo Instituta matematiki, 1998. —p. 77: in Russian.

    Google Scholar 

  3. Gorbunova E. O. Finiteness and determinacy of simple programs for the Kirdin kinetic machine // Methods of neuroinformatics. / A. N. Gorban (Ed.). Krasnoyarsk; KGTU. —1998.-p. 23–40: in Russian.

    Google Scholar 

  4. Gorbunova E. O. To the question of algorithmic universality of the Kirdin kinetic machine// Neuroinformatics and its applications. Abstracts of VI all-Russia seminar. —K rasnoyarsk, KGTU, 1998. p. 147–48: in Russian.

    Google Scholar 

  5. Markov A. A., Nagorny N. M. The theory of algorithms. —M.: Nauka, 1984. 432p.: in Russian.

    Google Scholar 

  6. Uspensky V. A., Semenov A. L. The theory of algorithms: basic discoveries and applications. —M.: Nauka. 1987. — 288 p.: in Russian.

    Google Scholar 

  7. Gorban A. N., Rossiev D. A. Neural networks for personal computer. —Novosibirsk: Nauka, 1996. 276 p.: in Russian.

    Google Scholar 

  8. Latkin E. I. SCAM: chemical computer // The theory of computations and languages of specifications. —Novosibirsk, 1995. — V. 152: Computing System. — p. 140–151: in Russian.

    MATH  MathSciNet  Google Scholar 

  9. Achasova S., Bandman O., Markova V. and Piskunov S. Parallel substitution algorithm. Theory and Application. —WORD SCIENTIFIC, 1994.

    Google Scholar 

  10. D. Dasgupta (Ed.). Artificial immune systems and their applications. — SPRINGER, 1998. XIV, 310 pp.

    Google Scholar 

  11. N. N. Bugaenko, A. N. Gorban and M. G. Sadovsky. Maximum entropy method in analysis of genetic text and measurement of its information content —Open Sys. And Information Dyn. 5, 1998. —p. 265–278.

    Google Scholar 

  12. A. M. Jabotinskii Concentration selfoscillations. —Moscow: Nauka, 1974: in Russian.

    Google Scholar 

  13. A. N. Gorban, V. I. Bykov, G. S. Yablonsky. Essays about chemical relaxation. — Novosibirsk: Nauka, 1986: in Russian.

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Gorbunova, K.O. (1999). Kinetic Model of Parallel Data Processing. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 1999. Lecture Notes in Computer Science, vol 1662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48387-X_6

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  • DOI: https://doi.org/10.1007/3-540-48387-X_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66363-8

  • Online ISBN: 978-3-540-48387-8

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