A scalable virtual environment for large scale scientific data analysis

Authors:
Dirk Rantzau;Ulrich Lang
Affiliations:
Scientific Visualization Department, High Performance Computing Center, University of Stuttgart, Allmandring 30, D-70550 Stuttgart, Germany;Scientific Visualization Department, High Performance Computing Center, University of Stuttgart, Allmandring 30, D-70550 Stuttgart, Germany
Venue:
Future Generation Computer Systems
Year:
1998

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Abstract

The growing complexity and sheer amount of data resulting from supercomputer simulations increases the need for new and intuitive analysis techniques such as VR. In this paper we present a scalable VR system integrated in a distributed and collaborative visualization and simulation environment which can be used for scientific data analysis and computational steering in several application domains. After discussing the requirements for such a system we describe the basic architecture of the VR environment. We then give some examples of currently investigated application domains in the areas of water turbine optimization and space vehicle re-entry and comet impact simulation involving metacomputing on a trans-atlantic scale.