2009/08/01 by Timo Aila, Samuli Laine · 1 citation
Computer Science · Environmental Science · #Computer Graphics and Visualization Techniques #Remote Sensing and LiDAR Applications #Computational Geometry and Mesh Generation
paper · doi:10.1145/1572769.1572792
openalex publication_date 2009/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
We discuss the mapping of elementary ray tracing operations---acceleration structure traversal and primitive intersection---onto wide SIMD/SIMT machines. Our focus is on NVIDIA GPUs, but some of the observations should be valid for other wide machines as well. While several fast GPU tracing methods have been published, very little is actually understood about their performance. Nobody knows whether the methods are anywhere near the theoretically obtainable limits, and if not, what might be causing the discrepancy. We study this question by comparing the measurements against a simulator that tells the upper bound of performance for a given kernel. We observe that previously known methods are a factor of 1.5--2.5X off from theoretical optimum, and most of the gap is not explained by memory bandwidth, but rather by previously unidentified inefficiencies in hardware work distribution. We then propose a simple solution that significantly narrows the gap between simulation and measurement. This results in the fastest GPU ray tracer to date. We provide results for primary, ambient occlusion and diffuse interreflection rays.