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Massively Parallel Hierarchical Scene Processing with Applications in Rendering
Author(s) -
Vinkler Marek,
Bittner Jiří,
Havran Vlastimil,
Hapala Michal
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12140
Subject(s) - computer science , massively parallel , bounding volume , rendering (computer graphics) , parallel computing , bounding overwatch , collision detection , computation , tracing , hierarchical database model , computer graphics (images) , artificial intelligence , collision , algorithm , data mining , computer security , operating system
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.