Issue No.12 - Dec. (2011 vol.17)
Blake Nelson , University of Utah
Robert M. Kirby , University of Utah
Robert Haimes , MIT
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.206
We present a GPU-based ray-tracing system for the accurate and interactive visualization of cut-surfaces through 3D simulations of physical processes created from spectral/hp high-order finite element methods. When used by the numerical analyst to debug the solver, the ability for the imagery to precisely reflect the data is critical. In practice, the investigator interactively selects from a palette of visualization tools to construct a scene that can answer a query of the data. This is effective as long as the implicit contract of image quality between the individual and the visualization system is upheld. OpenGL rendering of scientific visualizations has worked remarkably well for exploratory visualization for most solver results. This is due to the consistency between the use of first-order representations in the simulation and the linear assumptions inherent in OpenGL (planar fragments and color-space interpolation). Unfortunately, the contract is broken when the solver discretization is of higher-order. There have been attempts to mitigate this through the use of spatial adaptation and/or texture mapping. These methods do a better job of approximating what the imagery should be but are not exact and tend to be view-dependent. This paper introduces new rendering mechanisms that specifically deal with the kinds of native data generated by high-order finite element solvers. The exploratory visualization tools are reassessed and cast in this system with the focus on image accuracy. This is accomplished in a GPU setting to ensure interactivity.
High-order finite elements, spectral/hp elements, cut-plane extraction, GPU-based root-finding, GPU ray-tracing, cutsurface extraction.
Blake Nelson, Robert M. Kirby, Robert Haimes, "GPU-Based Interactive Cut-Surface Extraction From High-Order Finite Element Fields", IEEE Transactions on Visualization & Computer Graphics, vol.17, no. 12, pp. 1803-1811, Dec. 2011, doi:10.1109/TVCG.2011.206