Document Type

Conference Paper

Peer Reviewed


Publication Date


Journal/Book/Conference Title

SDH 98: Proceedings 8th International Symposium on Spatial Data Handling

Conference Location

Vancouver, British Columbia

Start Page


End Page



Parallel processing has been widely demonstrated to be of significant value in reducing computation times for a range of geographical problems. Most papers have reported on the use of exotic and difficult-to-access dedicated parallel computing systems. However, researchers have begun to develop ways of exploiting collections of readily available workstations to implement off-the-shelf parallel computer systems. In this paper we report on the use of a Network of Workstations (NOW) environment that is applied to a typical spatial analysis problem- inverse distance weighted interpolation. Our results indicate that while a collection of networked workstations can be used to reduce run times from minutes to a few seconds, the implementation that we explored was not able to make fully efficient use of the available computing resources.

Journal Article Version

Version of Record


Copyright © 1998 Marc P. Armstrong and Richard J. Marciano

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