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CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data

Journal Article · · IEEE Transactions on Visualization and Computer Graphics
 [1];  [2];  [3];  [3];  [3]
  1. Univ. of Utah, Salt Lake City, UT (United States); University of Utah
  2. Intel Corporation, Santa Clara, CA (United States)
  3. Univ. of Utah, Salt Lake City, UT (United States)
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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. Here, 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. Lastly, we evaluate the rendering performance, memory consumption and quality of our method on two gigascale block-structured AMR datasets.

Research Organization:
Univ. of Utah, Salt Lake City, UT (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); National Institutes of Health (NIH); National Science Foundation (NSF)
Grant/Contract Number:
NA0002375; SC0007446
OSTI ID:
1608432
Journal Information:
IEEE Transactions on Visualization and Computer Graphics, Journal Name: IEEE Transactions on Visualization and Computer Graphics Journal Issue: 1 Vol. 25; ISSN 1077-2626
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Cited By (1)

Parallel visualization of large-scale multifield scientific data journal August 2019

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Related Subjects

97 MATHEMATICS AND COMPUTING
AMR
OSPRay
isosurface
ray tracing
reconstruction strategy