Assigning ADT modules with random neural networks

Document Type

Conference Proceeding

Publication Date

1-1-1993

Abstract

This paper applies random neural networks to the problem of assigning abstract data type modules (ADTs) to the processing elements of parallel computers. Although assignment of tasks has been discussed extensively in the literature, the automatic assignment of ADTs is a relatively new problem, and therefore we describe the problem in detail. This is followed by an introduction to the random neural network model and a presentation of our neural network solution to the assignment problem. We present experimental results comparing our solution to those obtained with random assignment and with a greedy heuristic. The random neural network is found to give significantly better results than the other two approaches in virtually every case.

Identifier

0011397473 (Scopus)

ISBN

[0818632305]

Publication Title

Proceedings of the Annual Hawaii International Conference on System Sciences

External Full Text Location

https://doi.org/10.1109/HICSS.1993.284071

ISSN

15301605

First Page

546

Last Page

555

Volume

2

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