Parallel Solution to the Radiative Transport
| dc.contributor.author | Szirmay-Kalos, Laszló | en_US |
| dc.contributor.author | Liktor, Gabor | en_US |
| dc.contributor.author | Umenhoffer, Tamas | en_US |
| dc.contributor.author | Tóth, Balazs | en_US |
| dc.contributor.author | Kumar, Shree | en_US |
| dc.contributor.author | Lupton, Glenn | en_US |
| dc.contributor.editor | Kurt Debattista and Daniel Weiskopf and Joao Comba | en_US |
| dc.date.accessioned | 2014-01-26T16:47:52Z | |
| dc.date.available | 2014-01-26T16:47:52Z | |
| dc.date.issued | 2009 | en_US |
| dc.description.abstract | This paper presents a fast parallel method to compute the solution of the radiative transport equation in inhomogeneous participating media. The efficiency of the method comes from different factors. First, we use a novel approximation scheme to find a good guess for both the direct and the scattered component. This scheme is based on the analytic solution for homogeneous media, which is modulated by the local material properties. Then, the initial approximation is refined iteratively. The iterative refinement is executed on a face centered cubic grid, which is decomposed to blocks according to the available simulation nodes. The implementation uses CUDA and runs on a cluster of GPUs. We also show how the communication bottleneck can be avoided by not exchanging the boundary conditions in every iteration step. | en_US |
| dc.description.seriesinformation | Eurographics Symposium on Parallel Graphics and Visualization | en_US |
| dc.identifier.isbn | 978-3-905674-15-6 | en_US |
| dc.identifier.issn | 1727-348X | en_US |
| dc.identifier.uri | https://doi.org/10.2312/EGPGV/EGPGV09/095-102 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Parallel Solution to the Radiative Transport | en_US |