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Proceedings Paper

PermWeb: remote parallel and distributed-volume visualization
Author(s): Craig M. Wittenbrink; Kwansik Kim; Jeremy Story; Alex Pang; Karin Hollerbach; Nelson Max
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Paper Abstract

In this paper we present a system for visualizing volume data from remote supercomputers. We have developed both parallel volume rendering algorithms, and the World Wide Web (WWW) software for accessing the data at the remote sites. The implementation uses Hypertext Markup Language, Java, and Common Gateway Interface scripts to connect WWW servers/clients to our volume renderers. The front ends are interactive Java classes for specification of view, shading , and classification inputs. We present performance results, and implementation details for connections to our computing resources at the University of California Santa Cruz including a MasPar MP-2, SGI Reality Engine-RE2, and SGI Challenge machines. We apply the system to the task of visualizing trabecular bone from finite element simulations. Fast volume rendering on remote compute servers through a web interface allows us to increase the accessibility of the results to more users. User interface issues, overview of parallel algorithm developments, and overall system interfaces and protocols are presented. Access is available through Uniform Resource Locator

Paper Details

Date Published: 9 April 1997
PDF: 11 pages
Proc. SPIE 3017, Visual Data Exploration and Analysis IV, (9 April 1997); doi: 10.1117/12.270304
Show Author Affiliations
Craig M. Wittenbrink, Hewlett-Packard Labs. (United States)
Kwansik Kim, Univ. of California/Santa Cruz (United States)
Jeremy Story, Univ. of California/Santa Cruz (United States)
Alex Pang, Univ. of California/Santa Cruz (United States)
Karin Hollerbach, Lawrence Livermore National Lab. (United States)
Nelson Max, Lawrence Livermore National Lab. (United States)

Published in SPIE Proceedings Vol. 3017:
Visual Data Exploration and Analysis IV
Georges G. Grinstein; Robert F. Erbacher, Editor(s)

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