vecpar.fe.up.pt/2006 | vecpar2006@fe.up.pt | |
Large-Scale Scientific Visualization
Chris Johnson (University of Utah, USA)
Abstract:
Modern high performance computers have speeds measured in teraflops
and handle data set sizes measured in terabytes and petabytes.
Although these machines offer enormous potential for solving very
large-scale realistic computational problems,
their effectiveness will hinge upon the ability of human experts to
interact with their simulation results and extract useful information.
One of the greatest scientific challenges of the 21st century is to
effectively understand and make use of the vast amount of information
being produced.
Visualization will be among our most most important tools in helping
to understand such large-scale information.
Our research at the Scientific Computing and Imaging (SCI) Institute
at the University of Utah has focused on innovative, scalable
techniques for large-scale 3D visualization.
In this talk, I will present state-of-the-art visualization
techniques, including scalable visualization algorithms and software,
cluster-based visualization methods and innovate visualization
techniques applied
to problems in computational science, engineering, and medicine.
I will conclude with an outline for a future high performance
visualization research challenges and opportunities.
Keywords:
None.
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Rio de Janeiro | Brazil | 2006 | July | 10 11 12 13 |