Simpler and Faster HLBVH with Work Queues

dc.contributor.authorGaranzha, Kirillen_US
dc.contributor.authorPantaleoni, Jacopoen_US
dc.contributor.authorMcAllister, Daviden_US
dc.contributor.editorCarsten Dachsbacher and William Mark and Jacopo Pantaleonien_US
dc.date.accessioned2016-02-18T11:01:48Z
dc.date.available2016-02-18T11:01:48Z
dc.date.issued2011en_US
dc.description.abstractA recently developed algorithm called Hierachical Linear Bounding Volume Hierarchies (HLBVH) has demonstrated the feasibility of reconstructing the spatial index needed forray tracing in real-time, even in the presence of millions of fully dynamic triangles. In this work we present a simpler and faster variant of HLBVH, where all the complex bookkeepingof pre x sums, compaction and partial breadth- rst tree traversal needed for spatial partitioning has been replaced with an elegant pipeline built on top of e cient work queues and binary search. The new algorithm is both faster and more memory e cient, removing the need for temporary storage of geometry data for intermediate computations. Finally, the same pipeline has been extended to parallelize the construction of the top-level SAH optimized tree on the GPU, eliminating round-trips to the CPU, accelerating the overall construction speed by a factor of 5 to 10x.en_US
dc.description.sectionheadersAcceleration Structuresen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on High Performance Graphicsen_US
dc.identifier.doi10.1145/2018323.2018333en_US
dc.identifier.isbn978-1-4503-0896-0en_US
dc.identifier.issn2079-8687en_US
dc.identifier.pages59-64en_US
dc.identifier.urihttps://doi.org/10.1145/2018323.2018333en_US
dc.publisherACMen_US
dc.subjectI.3.2 [Graphics Systems C.2.1en_US
dc.subjectC.2.4en_US
dc.subjectC.3)]en_US
dc.subjectStanden_US
dc.subjectalone systemsen_US
dc.subjectI.3.7 [Three DimensionalGraphics and Realism]en_US
dc.subjectColoren_US
dc.subjectshadingen_US
dc.subjectshadowingen_US
dc.subjecttextureen_US
dc.subjectRaytracingen_US
dc.subjectray tracingen_US
dc.subjectrealen_US
dc.subjecttimeen_US
dc.subjectspatial indexen_US
dc.titleSimpler and Faster HLBVH with Work Queuesen_US
Files