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dc.contributor.authorGruson, Adrienen_US
dc.contributor.authorPatil, Ajit Hakkeen_US
dc.contributor.authorCozot, Remien_US
dc.contributor.authorBouatouch, Kadien_US
dc.contributor.authorPattanaik, Sumantaen_US
dc.contributor.editorHank Childs and Torsten Kuhlen and Fabio Martonen_US
dc.date.accessioned2013-11-08T10:25:57Z
dc.date.available2013-11-08T10:25:57Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905674-35-4en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGPGV/EGPGV12/081-088en_US
dc.description.abstractLight going through a participating medium like smoke can be scattered or absorbed by every point in the medium. To accurately render such a medium we must compute the radiance resulting at every point inside the medium because of these physical effects, which have been modeled by the radiative transfer equation. Computing the radiance at any point inside a participating medium amounts to numerically solving this radiative transport equation. Discrete Ordinate Method (DOM) is a widely used solution method. DOM is computationally intensive. Fattal [Fat09] proposed Light Propagation Maps (LPM) to expedite DOM computation. In this paper we propose a streaming based parallelization of LPM to run on SIMD graphics hardware. Our method is fast and scalable. We report more than 20x speed improvement by using our method as compared to Fattal's original method. Using our approach we are able to render 64x64x64 dynamic volumes with multiple scattering of light at interactive speed on complex lighting, and are able to render volumes of any size independent of the GPU memory capability.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional- Graphics and Realism I.3.3 [Computer Graphics]: Picture/Image-Generationen_US
dc.titleLight Propagation Maps on Parallel Graphics Architecturesen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US


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