Performance evaluation of bidirectional associative memory on a transputer-based parallel system

  • Authors:

  • Indu Mahadevan;L. M. Patnaik

  • Affiliations:

  • Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore 560 012, India;Microprocessor Applications Laboratory, Supercomputer Education and Research Centre, Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore 560 012, India

  • Venue:
  • Parallel Computing
  • Year:
  • 1992

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Abstract

In this paper we discuss a parallel implementation of an artificial neural network for pattern association, the Bidirectional Associative Memory (BAM). The parallelism inherent in BAM has been exploited using various transputer-based architectures like hypercube, mesh and linear array. The speedup and utilization of the system are obtained for the architectures mentioned above and a comparative study is made. Simulation results show that the hypercube topology gives a better performance in terms of speedup and utilization when compared to other architectures.