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CHC+RT: Coherent Hierarchical Culling for Ray Tracing

Oliver Mattausch, Jiri Bittner, Alberto Jaspe Villanueva, Enrico Gobbetti, Michael Wimmer, and Renato Pajarola

2015

Abstract

We propose a new technique for in-core and out-of-core GPU ray tracing using a generalization of hierarchical occlusion culling in the style of the CHC++ method. Our method exploits the rasterization pipeline and hardware occlusion queries in order to create coherent batches of work for localized shader-based ray-tracing kernels. By combining hierarchies in both ray space and object space, the method is able to share intermediate traversal results among multiple rays. We exploit temporal coherence among similar ray sets between frames and also within the given frame. A suitable management of the current visibility state makes it possible to benefit from occlusion culling for less coherent ray types like diffuse reflections. Since large scenes are still a challenge for modern GPU ray tracers, our method is most useful for scenes with medium to high complexity, especially since our method inherently supports ray tracing highly complex scenes that do not fit in GPU memory. For in-core scenes our method is comparable to CUDA ray tracing and performs up to 5.94 times better than pure shader-based ray tracing.

Reference and download information

Oliver Mattausch, Jiri Bittner, Alberto Jaspe Villanueva, Enrico Gobbetti, Michael Wimmer, and Renato Pajarola. CHC+RT: Coherent Hierarchical Culling for Ray Tracing. Computer Graphics Forum, 34(2): 537-548, 2015. http://dx.doi.org/10.1111/cgf.12582. Proc. Eurographics 2015.

Related multimedia productions

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Oliver Mattausch, Jiri Bittner, Alberto Jaspe Villanueva, Enrico Gobbetti, Michael Wimmer, and Renato Pajarola
CHC+RT: Coherent Hierarchical Culling for Ray Tracing.
CRS4 Video n. 174 - Date: April 2015
Computer Graphics Forum, 34(2), 2015. Proc. Eurographics 2015

Bibtex citation record

@Article{Mattausch:2015:CCH,
    author = {Oliver Mattausch and Jiri Bittner and Alberto {Jaspe Villanueva} and Enrico Gobbetti and Michael Wimmer and Renato Pajarola},
    title = {{CHC+RT}: Coherent Hierarchical Culling for Ray Tracing},
    journal = {Computer Graphics Forum},
    volume = {34},
    number = {2},
    pages = {537--548},
    year = {2015},
    abstract = { We propose a new technique for in-core and out-of-core GPU ray tracing using a generalization of hierarchical occlusion culling in the style of the CHC++ method. Our method exploits the rasterization pipeline and hardware occlusion queries in order to create coherent batches of work for localized shader-based ray-tracing kernels. By combining hierarchies in both ray space and object space, the method is able to share intermediate traversal results among multiple rays. We exploit temporal coherence among similar ray sets between frames and also within the given frame. A suitable management of the current visibility state makes it possible to benefit from occlusion culling for less coherent ray types like diffuse reflections. Since large scenes are still a challenge for modern GPU ray tracers, our method is most useful for scenes with medium to high complexity, especially since our method inherently supports ray tracing highly complex scenes that do not fit in GPU memory. For in-core scenes our method is comparable to CUDA ray tracing and performs up to 5.94 times better than pure shader-based ray tracing. },
    note = {Proc. Eurographics 2015},
    url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Mattausch:2015:CCH'},
}