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37: Commodity-Based Scalable Visualization
Monday, Full Day, 8:30 am - 5 pm
Room 511

A new approach to scalable graphics systems proposes to assemble clusters of PC-like nodes that include 3D hardware acceleration. This clustering approach can also be used to drive multiple displays arranged in a tiled configuration that generates a single high-resolution display. The challenge is to demonstrate that the aggregate performance of such systems can be harnessed effectively, especially for large datasets. This course surveys efforts to develop such systems.

Interest in parallel graphics and visualization for large graphics and visualization applications. Some familiarity with 3D graphics systems and applications.

Scalable graphics architectures, scientific visualization, parallel visualization and rendering (polygonal and volume), graphics sorting, PC graphics, display technology and tiled-display systems, and hardware integration approaches for building cluster-based graphics systems. How parallel rendering can be achieved on clustered architectures. Overview of recent results.

Constantine Pavlakos
Sandia National Laboratories

Matthew Eldridge
Greg Humphreys
Stanford University

Adam Finkelstein
Princeton University

Randall Frank
Lawrence Livermore National Laboratory

Alan Heirich
Compaq Computer Corporation

Allen McPherson
Los Alamos National Laboratory

Constantine Pavlakos
Sandia National Laboratories