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Optimization of modular associative memory

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Abstract

Mathematical models are proposed for optimizing the structure of modular associative memory. Optimal hashing is considered. The optimization problem is solved using a genetic algorithm.

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References

  1. V. S. Burtsev, “A new system for organizing the execution of highly parallel computational processes: examples of possible architectural solutions of supercomputer design,” in: Parallelism of Computational Processes and Development of Supercomputer Architectures [in Russian], Moscow (1997).

  2. G. Popadopoulos and K. Traub, “Multithreading: a revisionist view of dataflow architecture,” SIGARCH Computer Arch. News,19, No. 3 (1991).

  3. V. S. Burtsev, “Using optical data processing methods in supercomputer architectures,” in: Parallelism of Computational Processes and Development of Supercomputer Architectures [in Russian], Moscow (1997).

  4. V. S. Burtsev and V. B. Fedorov, “Associative memory using optical data processing principles for new generation supercomputers,” in: Non-Traditional Computer Architectures. Supercomputers [in Russian], No. 2, Moscow (1994).

  5. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA (1989).

    Google Scholar 

  6. A. V. Nikitin, “Using GA for parallelization of programs,” in: Proc. EvCA '96.

  7. Thang Nguyen Bui and Byung Ro Moon, “Genetic algorithm and graph partitioning,” IEEE Trans. Comput.,45, No. 7 (July 1996).

  8. K. DeJong, “Evolutionary computation: recent development and open issues,” in: Proc. EvCA '96.

  9. A. S. Olenin, “Representative computations for investigating supercomputer architectures,” in: Non-Traditional Computer Architectures. Supercomputers [in Russian], No. 6, Moscow (1997).

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Additional information

Research supported by Ministry of Science grants 201.03.002 and 201.03.003.

Translated from Chislennye Metody i Vychislitel'nyi Eksperiment, Moscow State University, pp. 97–106, 1998.

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Nikitin, A.V., Popov, A.M. Optimization of modular associative memory. Comput Math Model 10, 405–411 (1999). https://doi.org/10.1007/BF02359090

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  • DOI: https://doi.org/10.1007/BF02359090

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