PermWeb: remote parallel and distributed-volume visualization

Craig M. Wittenbrink; Kwansik Kim; Jeremy Story; Alex Pang; Karin Hollerbach; Nelson Max

doi:10.1117/12.270304

9 April 1997 PermWeb: remote parallel and distributed-volume visualization

Craig M. Wittenbrink, Kwansik Kim, Jeremy Story, Alex Pang, Karin Hollerbach, Nelson Max

Proceedings Volume 3017, Visual Data Exploration and Analysis IV; (1997) https://doi.org/10.1117/12.270304
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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 http://www.cse.ucsc.edu/research/slvg/.

Citation Download Citation

Craig M. Wittenbrink, Kwansik Kim, Jeremy Story, Alex Pang, Karin Hollerbach, and Nelson Max "PermWeb: remote parallel and distributed-volume visualization", Proc. SPIE 3017, Visual Data Exploration and Analysis IV, (9 April 1997); https://doi.org/10.1117/12.270304

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