CPU Ray Tracing of Tree‐Based Adaptive Mesh Refinement Data. (18th July 2020)

• Record Type: Journal Article
• Authors: Wang, Feng; Marshak, Nathan; Usher, Will; Burstedde, Carsten; Knoll, Aaron; Heister, Timo; Johnson, Chris R.
• Is Part Of: Computer graphics forum. Volume 39:Number 3(2020)
• Page Start: 1
• Page End: 12
• Publication Date: 2020-07-18
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13958
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: Adaptive mesh refinement (AMR) techniques allow for representing a simulation's computation domain in an adaptive fashion. Although these techniques have found widespread adoption in high‐performance computing simulations, visualizing their data output interactively and without cracks or artifacts remains challenging. In this paper, we present an efficient solution for direct volume rendering and hybrid implicit isosurface ray tracing of tree‐based AMR (TB‐AMR) data. We propose a novel reconstruction strategy, Generalized Trilinear Interpolation (GTI), to interpolate across AMR level boundaries without cracks or discontinuities in the surface normal. We employ a general sparse octree structure supporting a wide range of AMR data, and use it to accelerate volume rendering, hybrid implicit isosurface rendering and value queries. We demonstrate that our approach achieves artifact‐free isosurface and volume rendering and provides higher quality output images compared to existing methods at interactive rendering rates.