Visual Supercomputing: Technologies, Applications and Challenges |
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Authors: | Ken Brodlie John Brooke Min Chen David Chisnall Ade Fewings Chris Hughes Nigel W John Mark W Jones Mark Riding Nicolas Roard |
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Affiliation: | School of Informatics, University of Wales Bangor, UK; School of Computing, University of Leeds, UK; Manchester Computing, University of Manchester, UK; Department of Computer Science, University of Wales Swansea, UK contact email: |
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Abstract: | If we were to have a Grid infrastructure for visualization, what technologies would be needed to build such an infrastructure, what kind of applications would benefit from it, and what challenges are we facing in order to accomplish this goal? In this survey paper, we make use of the term ‘visual supercomputing’ to encapsulate a subject domain concerning the infrastructural technology for visualization. We consider a broad range of scientific and technological advances in computer graphics and visualization, which are relevant to visual supercomputing. We identify the state‐of‐the‐art technologies that have prepared us for building such an infrastructure. We examine a collection of applications that would benefit enormously from such an infrastructure, and discuss their technical requirements. We propose a set of challenges that may guide our strategic efforts in the coming years. |
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Keywords: | visual supercomputing visualization autonomic computing grid computing distributed processing mission critical visualization computational steering I 3 2 [Computer Graphics] Distributed/network graphics I 3 8 [Computer Graphics]: Applications I 3 m [Computer Graphics]: Visualization |
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