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Asynchronous heterogeneous mechanism for hyper-distributed hyper-parallel AI processing

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Abstract

This paper proposes an asynchronous heterogeneous propagation approach of concurrent competitive waves for hyper-distributed hyper-parallel heuristic problem-solving. This approach is much more powerful than the synchronous homogeneous mechanisms and the asynchronous superimposition algorithms, and has universal validity and availability. The basic conception, concurrent algorithm and its properties are discussed. The theory and conclusions drawn in this paper are of essential importance for the hardware implementation of hyper-distributed hyper-parallel processing based on chaotic cellular networks.

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Author information

Authors and Affiliations

  1. Department of Computer Science, East-China University of Science and Technology, 200237, Shanghai, P.R. China

    Shuai Dianxun

  2. State Key Laboratory of Intelligence and System, Tsinghua University, 100084, Beijing, P.R. China

    Shuai Dianxun

Authors
  1. Shuai Dianxun
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Additional information

Supported by the NNSF of China under Grant No.69773037 and the foundation of SKLIS.

SHUAI Dianxun is presently a Professor of the Department of Computer Science and Engineering, East China University of Science and Technology, China, with his Ph.D. degree in computer science received from Tsinghua University in 1986. As a senior visiting scholar, he did research work in Tohoku University, Japan during 1980–1982, in Minnesota University and CDC, USA in 1987, and in Doshisha University and Kyoto Sangyo University, Japan in 1993–1996. His research interests are artificial intelligence, distributed parallel processing, computer architecture, genetic algorithm and multi-agent systems.

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Shuai, D. Asynchronous heterogeneous mechanism for hyper-distributed hyper-parallel AI processing. J. of Comput. Sci. & Technol. 14, 234–241 (1999). https://doi.org/10.1007/BF02948511

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  • DOI: https://doi.org/10.1007/BF02948511

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