GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

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dc.contributor.authorPeng, Chaoen
dc.contributor.authorCao, Yongen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:48Zen
dc.date.available2013-06-19T14:36:48Zen
dc.date.issued2011en
dc.description.abstractRendering massive 3D models in real-time has long been recognized as a very challenging problem because of the limited computational power and memory space available in a workstation. Most existing rendering techniques, especially level of detail (LOD) processing, have suffered from their sequential execution natures, and does not scale well with the size of the models. We present a GPU-based progressive mesh simplification approach which enables the interactive rendering of large 3D models with hundreds of millions of triangles. Our work contributes to the massive rendering research in two ways. First, we develop a novel data structure to represent the progressive LOD mesh, and design a parallel mesh simplification algorithm towards GPU architecture. Second, we propose a GPU-based streaming approach which adopt a frame-to-frame coherence scheme in order to minimize the high communication cost between CPU and GPU. Our results show that the parallel mesh simplification algorithm and GPU-based streaming approach significantly improve the overall rendering performance.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00001158/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001158/01/parallelLOD_chao.pdfen
dc.identifier.trnumberTR-11-12en
dc.identifier.urihttp://hdl.handle.net/10919/19459en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectParallel computationen
dc.titleGPU-based Streaming for Parallel Level of Detail on Massive Model Renderingen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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