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Visualization of Adaptive Mesh Refinement Data
Gunther H. Weber, Oliver Kreylos, Terry J. Ligocki, John M. Shalf, Wes Bethel, David Fang, Hank Childs, Eric S. Brugger, Bernd Hamann, Kenneth I. Joy, and Kwan-Liu Ma
Abstract
Adaptive mesh refinement (AMR) is a numerical simulation technique used in computational fluid dynamics (CFD). AMR was introduced in the computational physics community by Berger and Oliger
in 1984 and has gained increasing popularity in the computational physics community.
AMR represents a domain as a set of structured, rectilinear grids at increasing
resolution. Despite its inherent hierarchical nature, only few visualization
algorithms exist that directly use the AMR structure for visualization purposes. We have adapted several visualization techniques to make use of that
hierarchical nature. We have developed an isosurface extraction scheme that allows for the
extraction of crack-free isosurfaces from AMR data while representing each grid at
the appropriate resolution. We have also considered volume rendering of AMR data. By
homogenizing an AMR hierarchy, i.e. partitioning it into blocks of constant
resolution, we have defined a scheme that renders an AMR hierarchy at interactive speeds. To
obtain high-quality volume-rendered visualizations, we have developed a cell-projection-based
approach that allows progressive rendering of AMR hierarchies by rendering an image
level-by-level. Based on our work on crack-free isosurfaces, we have developed a
C0-continuous interpolation scheme, which we use to generate high-quality images.
We have also developed a framework for parallel rendering of
AMR data on supercomputers and PC clusters and compared different
distribution strategies. Finally, we have developed an alternate method to crack-free isosurface extraction that uses the original AMR grid.
Publications
- David Fang,
Gunther H. Weber,
Hank Childs,
Eric S. Brugger,
Bernd Hamann,
Kenneth I. Joy,
Extracting Geometrically Continuous Isosurfaces from Adaptive Mesh Refinement Data,
in: Proceedings of 2004 Hawaii International Conference on Computer Sciences, pp. 216--224, 2004.
- Gunther H. Weber,
Oliver Kreylos,
Terry J. Ligocki,
John M. Shalf,
Hans Hagen,
Bernd Hamann,
Kenneth I. Joy,
Extraction of Crack-Free Isosurfaces from Adaptive Mesh Refinement Data,
in: Approximation and Geometrical Methods for Scientific Visualization, pp. 19--40, 2003.
- Gunther H. Weber,
Martin Oehler,
John M. Shalf,
Oliver Kreylos,
Wes Bethel,
Bernd Hamann,
Gerik Scheuermann,
Parallel Cell Projection Rendering of Adaptive Mesh Refinement Data,
in: Proceeding of the IEEE Symposium on Parallel and Large-Data Visualization and Graphics, pp. 51--60, 2003.
- Gunther H. Weber,
Visualization of Adaptive Mesh Refinement Data and Topology-based Exploration of Volume Data,
2003.
- Gunther H. Weber,
Oliver Kreylos,
Terry J. Ligocki,
John M. Shalf,
Hans Hagen,
Bernd Hamann,
Kenneth I. Joy,
Extraction of Crack-free Isosurfaces from Adaptive Mesh Refinement Data,
in: Data Visualization 2001 (Proceedings of the Joint EUROGRAPHICS and IEEE TCVG Symposium on Visualization VisSym '01), pp. 25--34, 335, 2001.
- Bernd Hamann,
Hans Hagen,
John M. Shalf,
Terry J. Ligocki,
Oliver Kreylos,
Gunther H. Weber,
Kenneth I. Joy,
Kwan-Liu Ma,
High-Quality Volume Rendering of Adaptive Mesh Refinement Data,
in: Vision, Modeling, and Visualization 2001, pp. 121--128, 522, 2001.
- Gunther H. Weber,
Hans Hagen,
Bernd Hamann,
Kenneth I. Joy,
Kwan-Liu Ma,
John M. Shalf,
Terry J. Ligocki,
Visualization of Adaptive Mesh Refinement Data,
in: Proceedings of Visual Data Exploration and Analysis VIII, pp. 121--132, 2001.
Contact
Gunther H. Weber
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