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Proceedings Paper

Distributing a GIS using a parallel data approach
Author(s): John R. Monde; Michael Wild
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Paper Abstract

The limitations of serial processors for managing large computationally intensive dataset problems in fields such as visualization and Geographical Information Systems (GIS) are well known. Parallel processing techniques, where one or many computational tasks are distributed across a number of processing elements, have been proposed as a solution to the problem. We describe a model for visualizing oceanographic data that extends an earlier technique of using data parallel algorithms on a dedicated parallel computer to an object- oriented distributed visualization system that forms a virtual parallel machine on a network computers. This paper presents a visualization model being developed by the University of Southern Mississippi demonstrating interactive visualization of oceanographic data. The test case involves visualization of two and three-dimensional oceanographic data (salinity, sound speed profile, currents, temperature, and depth) with Windows NT Pentium class computers serving as both severs and client workstations.

Paper Details

Date Published: 14 May 1998
PDF: 12 pages
Proc. SPIE 3298, Visual Data Exploration and Analysis V, (14 May 1998); doi: 10.1117/12.309553
Show Author Affiliations
John R. Monde, Univ. of Southern Mississippi/Stennis Space Ctr. (United States)
Michael Wild, Univ. of Southern Mississippi/Stennis Space Ctr. (United States)


Published in SPIE Proceedings Vol. 3298:
Visual Data Exploration and Analysis V
Robert F. Erbacher; Alex Pang, Editor(s)

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