GPU-based Particle Flows
Ansprechpartner: Nicolas Cuntz
Background
Direct flow visualizations can help climate researchers to explore flow
characteristics by adjusting parameters and thus controlling the visual output.
They provide an intuitive insight into complex flow data sets such as simulated
circulations of the atmosphere or the ocean. Recent developments in
visualization techniques exploiting programmable features of current graphics
processing units (GPUs) have proven to be very powerful. This is especially true
for particle-based techniques.
This work presents a complete GPU-based particle engine and framework for the
real-time visualization of unsteady climate flow data sets. This involves a
proper data work flow from the simulation back-end to the visualizer, the
handling of non-uniform data grids and, finally, a proper support for the
interactive exploration. We evaluate our framework with a South Asian typhoon
simulated by the
DKRZ Hamburg.
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101 MB, 640 x 480, 24bpp, 3993.6 kbps
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Papers
| · | N. Cuntz, M. Leidl, A. Kolb, C. Rezk-Salama, M. Böttinger |
| GPU-based Dynamic Flow Visualization for Climate Research Applications |
| In Proc. Simulation and Visualization, 2007, pages 371-384 |
| [bib] [pdf]
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| · | Nicolas Cuntz, Andreas Kolb, Robert Strzodka and Daniel Weiskopf |
| Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow |
| In Computer Graphics Forum (Proc. EuroVis), 27(3), 2008, pages 719-716 |
| [bib] [pdf]
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| · | Andreas Kolb, Lutz Latta, Christof Rezk-Salama |
| Hardware-based Simulation and Collision Detection for Large Particle Systems |
| In Proc. Graphics Hardware, 2004, pages 123-131 |
| [bib] [pdf]
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