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Visualization in Grid Computing Environments
Austin, Texas October 10-October 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/VISUAL.2004.11215th IEEE Visualization 2004 (VIS 2004)
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Ken Brodlie, University of Leeds
David Duce, Oxford Brookes University
Julian Gallop, CCLRC Rutherford Appleton Laboratory
Musbah Sagar, Oxford Brookes University
Jeremy Walton, The Numerical Algorithms Group Ltd.
Jason Wood, University of Leeds
Grid computing provides a challenge for visualization system designers. In this research, we evolve the dataflow concept to allow parts of the visualization process to be executed remotely in a secure and seamless manner. We see dataflow at three levels: an abstract specification of the intent of the visualization; a binding of these abstract modules to a specific software system; and then a binding of software to processing and other resources. We develop an XML application capable of describing visualization at the three levels. To complement this, we have implemented an extension to a popular visualization system, IRIS Explorer, which allows modules in a dataflow pipeline to run on a set of Grid resources. For computational steering applications, we have developed a library that allows a visualization system front-end to connect to a simulation running remotely on a Grid resource. We demonstrate the work in two applications: the dispersion of a pollutant under different wind conditions; and the solution of a challenging numerical problem in elastohydrodynamic lubrication
Index Terms:
grid computing, visualization systems, XML, computational steering, visualization reference models
Citation:
Ken Brodlie, David Duce, Julian Gallop, Musbah Sagar, Jeremy Walton, Jason Wood, "Visualization in Grid Computing Environments," vis, pp.155-162, 15th IEEE Visualization 2004 (VIS 2004), 2004
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