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NEAREST NEIGHBOUR SEARCHING IN BINARY SEARCH TREES: SIMULATION OF A MULTIPROCESSOR SYSTEM

MARK STEWART (Department of Information Studies, University of Sheffield, Western Bank, Sheffield, S10 2TN)
PETER WILLETT (Department of Information Studies, University of Sheffield, Western Bank, Sheffield, S10 2TN)

Journal of Documentation

ISSN: 0022-0418

Article publication date: 1 February 1987

69

Abstract

This paper describes the simulation of a nearest neighbour searching algorithm for document retrieval using a pool of microprocessors. The documents in a database are organised in a multi‐dimensional binary search tree, and the algorithm identifies the nearest neighbour for a query by a backtracking search of this tree. Three techniques are described which allow parallel searching of the tree. A PASCAL‐based, general purpose simulation system is used to simulate these techniques, using a pool of Transputer‐like microprocessors with three standard document test collections. The degree of speed‐up and processor utilisation obtained is shown to be strongly dependent upon the characteristics of the documents and queries used. The results support the use of pooled microprocessor systems for searching applications in information retrieval.

Citation

STEWART, M. and WILLETT, P. (1987), "NEAREST NEIGHBOUR SEARCHING IN BINARY SEARCH TREES: SIMULATION OF A MULTIPROCESSOR SYSTEM", Journal of Documentation, Vol. 43 No. 2, pp. 93-111. https://doi.org/10.1108/eb026803

Publisher

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MCB UP Ltd

Copyright © 1987, MCB UP Limited

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