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Data Analysis and Visualization Environments for Large Scale Simulation

February 26, 2004

Date: Thursday, February 26th, 2004
Time: 11am-12:15pm
Location: Woodward 149

Constantine "Dino" Pavlakos, <>
Manager, Visualization and Data Department Sandia National Laboratories

Abstract: Sandia National Laboratories, together with other DOE laboratories, industry and academic partners, is developing advanced technologies that are setting a standard for high performance data exploration and visualization. This work is driven by requirements for the analysis of very large-scale (multi-terabyte) complex scientific application data and is closely coupled to laboratory efforts to provide scalable computing. The strategy for delivering advanced data analysis and visualization capabilities is based on the themes of scalability, use of commodity-based clustered hardware, accessibility from the office/desktop, ease of use, and advanced interfaces and work environments. While working toward a complete end-to-end system of high performance services that can be accessed from the desktop, the current focus is on delivery of scalable data services and scalable rendering, together with the deployment of high-end infrastructure and facilities. This talk will present an overview of such activities and related accomplishments at Sandia, together with a discussion of related issues and an architectural characterization of environments that effectively support high performance computing (including a brief description of the environment planned for Sandia's ASCI Red Storm machine).