Abstract
Modern GPUs come with dedicated hardware to perform ray/triangle intersections and bounding volume hierarchy (BVH) traversal. While the primary use case for this hardware is photorealistic 3D computer graphics, with careful algorithm design scientists can also use this special-purpose hardware to accelerate general-purpose computations such as point containment queries. This article explains the principles behind these techniques and their application to vector field visualization of large simulation data using particle tracing.
Highlights
RAY TRACING is a computer graphics algorithm that is based on geometric optics
We base our particle tracing code off of the ExaBricks data structure and visualization software [6], which is optimized for interactive rendering of adaptive mesh refinement (AMR) data sets on graphics processing units (GPUs) equipped with ray tracing hardware
We presented an unconventional yet effective technique to perform point containment queries into AMR vector fields
Summary
S. ZellmannORCID:[0000−0003−2880−9090] University of Cologne and Bonn-Rhein-Sieg University of Applied Sciences, Institute of Visual Computing D. HinkenjannORCID:[0000−0002−8391−7652] Bonn-Rhein-Sieg University of Applied Sciences, Institute of Visual Computing. While the primary use case for this hardware is photorealistic 3D computer graphics, with careful algorithm design scientists can use this special-purpose hardware to accelerate general-purpose computations such as point containment queries. This article explains the principles behind these techniques and their application to vector field visualization of large simulation data using particle tracing. RAY TRACING is a computer graphics algorithm that is based on geometric optics. While traditionally being focused on offline production rendering by the film industry, the recent addition
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