SDH 98: Proceedings 8th International Symposium on Spatial Data Handling
Vancouver, British Columbia
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.
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Copyright © 1998 Marc P. Armstrong and Richard J. Marciano