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A parallel implementation of Boltzmann machine solving combinatorial optimization problems

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2 Author(s)
Nang, J. ; Fujitsu Labs. Ltd., Chiba, Japan ; Matsuo, K.

In this paper we present an efficient way to implement the Boltzmann machine for solving combinatorial optimization problems on a distributed-memory multiprocessor (DMM), especially on a network of transputers. In this scheme, the neurons in a Boltzmann machine are partitioned into p disjoint sets and mapped onto each processor, where p is the number of processors in a DMM. Some experimental speedups together with analyses are also presented to demonstrate the usefulness of our parallelizing and implementation schemes.

Published in:

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:3 )

Date of Conference:

25-29 Oct. 1993

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