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Issue No.02 - March/April (2003 vol.23)
pp: 51-59
E. Wes Bethel , Lawrence Berkeley National Laboratory
<p>As the number and diversity of distributed teams grow, the need for visualization tools to analyze and display multiterabyte, remote data becomes more pronounced and more urgent. Visapult is a parallel visualization tool that employs grid-distributed components, latency tolerant visualization, and graphics algorithms, along with high performance network I/O for effective remote analysis of massive datasets. The article discusses improvements to network bandwidth utilization and responsiveness by the Visapult application. These improvements result from use of connectionless protocols to move data payload between distributed Visapult components and a grid-enabled, high-performance physics simulation that helps study gravitational waveforms of colliding black holes (known as the Cactus code).</p>
grid, remote visualization, image based rendering, Cactus, networking, UDP
E. Wes Bethel, "Grid-Distributed Visualizations Using Connectionless Protocols", IEEE Computer Graphics and Applications, vol.23, no. 2, pp. 51-59, March/April 2003, doi:10.1109/MCG.2003.1185580
1. T. DeFanti and M. Brown, eds., Report to the National Science Foundation Directorate for Computer and Information Science and Engineering (CISE) Advanced Networks Infrastructure and Research Division, tech. report, Electronic Visualization Laboratory, Univ. of Illinois, Chicago, Dec. 2001, .
2. W. Bethel et al., "Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization," Proc. Supercomputing 2000 (SC00), ACM Press, New York, 2000; .
3. K. Meuller et al., "IBR-Assisted Volume Rendering," Proc. IEEE Visualization 99, IEEE CS Press, 1999, pp. 5-8.
4. G. Allen et al., "Cactus Tools for Grid Applications," Cluster Computing 4, Kluwer Academic Publishers, 2001, pp. 179-188, .
5. W.R. Stevens,Unix Network Programming, Volume 1: Networking APIs, Prentice Hall, 1997.
6. B. Tierney et al., "A Network-Aware Distributed Storage Cache for Data Intensive Environments," Proc. IEEE High-Performance Distributed Computing, Aug. 1999, .
7. T.J. Hacker, B.D. Athey,, and B.D. Noble,"The End-to-End Performance Effects of Parallel TCP Sockets on a Lossy Wide-Area Network," Proc. 16th Int'l Parallel and Distributed Processing Symp., 2002, .
8. J. Mahdavi and S. Floyd,TCP-Friendly Unicast UDP Rate-Based Flow Control, tech. note, 8 Jan. 1997, techpapr/#10 Showcase/Publications.html DPSS/ papers/ipdps02.pdf networking/paperstcp_friendly.html .
9. H. Hoppe, “Progressive Meshes,” Proc. SIGGRAPH '96, pp. 99-108, 1996.
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