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Modular highly-parallel computation and architectures

  • V. E. Kotov
Invited Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 342)

Abstract

Most of the highly-parallel architectures support more or less special applications. We are advocating and developing a modular approach to designing parallel computers with larger number of communicating processors. These computers with flexible, open architecture should make easier the adaptation of various application tasks to efficient parallel processing. The approach may be considered as an extension of the transputer design methodology towards more flexibility and generality.

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References

  1. [1]
    Hoare C.A.R. Communicating sequential processes. CASM. Vol. 21, No 6, 1978.Google Scholar
  2. [2]
    May D., Taylor R. OCCAM — an overview. Micro-processors and microsystems. Vol. 2, No 2, 1984.Google Scholar
  3. [3]
    Barron I.M. The transputer and Occam. Proceedings of the IFIP-86 Congress. North Holl. Co., 1986.Google Scholar
  4. [4]
    Gurd J., Kirkham Ch. Dataflow: Achievements and prospects. Proceedings of the IFIP-86 Congress. North Holl. Co., 1986.Google Scholar
  5. [5]
    Kotov V.E., Marchuk A.G. The architecture of the MARS prototype. In: Computer system and software. Novosibirsk, 1986 (in Russian).Google Scholar
  6. [6]
    Marchuk A.G., Lelchuk T.I. The programming language Polar. Nauka, Novosibirsk, 1989 (in Russian).Google Scholar
  7. [7]
    Kuznetsov D.N., Nedorya A.E., Osipov A.V., Tarasov E.V. The processor Kronos in a multiprocessor system. — In: Computer systems and software. Novosibirsk, 1986 (in Russian).Google Scholar
  8. [8]
    Wirth N. The personal computer Lilith. Report No.40, Swiss Federal Institute of Technology, Zurich, 1981.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • V. E. Kotov
    • 1
  1. 1.Computing CenterNovosibirskUSSR

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