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Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization
Dallas, Texas
November 04-November 10
ISBN: 0-7803-9802-5
Wes Bethel, University of California, Berkeley
Brian Tierney, University of California, Berkeley
Jason Lee, University of California, Berkeley
Dan Gunter, University of California, Berkeley
Stephen Lau, University of California, Berkeley
Visapult is a prototype application and framework for remote visualization of large scientific datasets. We approach the technical challenges of tera-scale visualization with a unique architecture that employs high speed WANs and network data caches for data staging and transmission. This architecture allows for the use of available cache and compute resources at arbitrary locations on the network. High data throughput rates and network utilization are achieved by parallelizing I/O at each stage in the application, and by pipelining the visualization process. On the desktop, the graphics interactivity is effectively decoupled from the latency inherent in network applications. We present a detailed performance analysis of the application, and improvements resulting from field-test analysis conducted as part of the DOE Combustion Corridor project.
Citation:
Wes Bethel, Brian Tierney, Jason Lee, Dan Gunter, Stephen Lau, "Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization," sc, pp.28, Proceedings of the 2000 ACM/IEEE conference on Supercomputing, 2000
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