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• W2103185791 abstract "Modern graphics hardware architectures excel at compute-intensive tasks such as ray-triangle intersection, making them attractive target platforms for raytracing. To date, most GPU-based raytracers have relied upon uniform grid acceleration structures. In contrast, the kd-tree has gained widespread use in CPU-based raytracers and is regarded as the best general-purpose acceleration structure. We demonstrate two kd-tree traversal algorithms suitable for GPU implementation and integrate them into a streaming raytracer. We show that for scenes with many objects at different scales, our kd-tree algorithms are up to 8 times faster than a uniform grid. In addition, we identify load balancing and input data recirculation as two fundamental sources of inefficiency when raytracing on current graphics hardware." @default.
• W2103185791 created "2016-06-24" @default.
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• W2103185791 creator A5058239588 @default.
• W2103185791 date "2005-07-30" @default.
• W2103185791 modified "2023-10-06" @default.
• W2103185791 title "KD-tree acceleration structures for a GPU raytracer" @default.
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• W2103185791 doi "https://doi.org/10.1145/1071866.1071869" @default.
• W2103185791 hasPublicationYear "2005" @default.
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