CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data
| Autor: | Feng Wang, Ingo Wald, Chris R. Johnson, Will Usher, Qi Wu |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
Adaptive mesh refinement 020207 software engineering 02 engineering and technology Computer Graphics and Computer-Aided Design Computational science Rendering (computer graphics) Signal Processing Isosurface 0202 electrical engineering electronic engineering information engineering Ray tracing (graphics) Computer Vision and Pattern Recognition Continuous field Software ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 25:1142-1151 |
| ISSN: | 2160-9306 1077-2626 |
| Popis: | Adaptive mesh refinement (AMR) is a key technology for large-scale simulations that allows for adaptively changing the simulation mesh resolution, resulting in significant computational and storage savings. However, visualizing such AMR data poses a significant challenge due to the difficulties introduced by the hierarchical representation when reconstructing continuous field values. In this paper, we detail a comprehensive solution for interactive isosurface rendering of block-structured AMR data. We contribute a novel reconstruction strategy—the octant method—which is continuous, adaptive and simple to implement. Furthermore, we present a generally applicable hybrid implicit isosurface ray-tracing method, which provides better rendering quality and performance than the built-in sampling-based approach in OSPRay. Finally, we integrate our octant method and hybrid isosurface geometry into OSPRay as a module, providing the ability to create high-quality interactive visualizations combining volume and isosurface representations of BS-AMR data. We evaluate the rendering performance, memory consumption and quality of our method on two gigascale block-structured AMR datasets. |
| Databáze: | OpenAIRE |
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