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dc.contributor.authorBenthin, Carstenen_US
dc.contributor.authorWald, Ingoen_US
dc.contributor.authorWoop, Svenen_US
dc.contributor.authorÁfra, Attila T.en_US
dc.contributor.editorPatney, Anjul and Niessner, Matthiasen_US
dc.date.accessioned2018-11-11T10:46:00Z
dc.date.available2018-11-11T10:46:00Z
dc.date.issued2018
dc.identifier.isbn978-1-4503-5896-5
dc.identifier.issn2079-8679
dc.identifier.urihttps://doi.org/10.1145/3231578.3231581
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3231578-3231581
dc.description.abstractWe propose and evaluate what we call Compressed-Leaf Bounding Volume Hierarchies (CLBVH), which strike a balance between compressed and non-compressed BVH layouts. Our CLBVH layout introduces dedicated compressed multi-leaf nodes where most effective at reducing memory use, and uses regular BVH nodes for inner nodes and small, isolated leaves. We show that when implemented within the Embree ray tracing framework, this approach achieves roughly the same memory savings as Embree's compressed BVH layout, while maintaining almost the full performance of its fastest non-compressed BVH.en_US
dc.publisherACMen_US
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.subjectray tracing
dc.subjectbounding volume hierarchy
dc.subjectcompression
dc.titleCompressed-Leaf Bounding Volume Hierarchiesen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on High Performance Graphics
dc.description.sectionheadersRay Traversal, Transparency, and GPU Computing
dc.identifier.doi10.1145/3231578.3231581


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