Massively Parallel Hierarchical Scene Processing with Applications in Rendering.
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| Title: | Massively Parallel Hierarchical Scene Processing with Applications in Rendering. |
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| Authors: | Vinkler, Marek1 xvinkl@fi.muni.cz, Bittner, Jiří2 bittner@fel.cvut.cz, Havran, Vlastimil2 havran@fel.cvut.cz, Hapala, Michal2 hapalmic@fel.cvut.cz |
| Source: | Computer Graphics Forum. Dec2013, Vol. 32 Issue 8, p13-25. 13p. |
| Subjects: | Parallel algorithms, Computer graphics software, Three-dimensional imaging, Ray tracing algorithms, Sequential analysis |
| Abstract: | We present a novel method for massively parallel hierarchical scene processing on the GPU, which is based on sequential decomposition of the given hierarchical algorithm into small functional blocks. The computation is fully managed by the GPU using a specialized task pool which facilitates synchronization and communication of processing units. We present two applications of the proposed approach: construction of the bounding volume hierarchies and collision detection based on divide-and-conquer ray tracing. The results indicate that using our approach we achieve high utilization of the GPU even for complex hierarchical problems which pose a challenge for massive parallelization. The results indicate that using our approach we achieve high utilization of the GPU even for complex hierarchical problems which pose a challenge for massive parallelization. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | We present a novel method for massively parallel hierarchical scene processing on the GPU, which is based on sequential decomposition of the given hierarchical algorithm into small functional blocks. The computation is fully managed by the GPU using a specialized task pool which facilitates synchronization and communication of processing units. We present two applications of the proposed approach: construction of the bounding volume hierarchies and collision detection based on divide-and-conquer ray tracing. The results indicate that using our approach we achieve high utilization of the GPU even for complex hierarchical problems which pose a challenge for massive parallelization. The results indicate that using our approach we achieve high utilization of the GPU even for complex hierarchical problems which pose a challenge for massive parallelization. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 01677055 |
| DOI: | 10.1111/cgf.12140 |
