Thinking Parallel, Part III: Tree Construction on the GPU – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Tero Karras https://research.nvidia.com/users/tero-karras <![CDATA[Thinking Parallel, Part III: Tree Construction on the GPU]]> http://www.parallelforall.com/?p=635 2022-08-21T23:36:49Z 2012-12-20T05:15:09Z In part II?of this series, we looked at hierarchical tree traversal as a means of quickly identifying pairs of potentially colliding 3D objects and?we...]]> In part II?of this series, we looked at hierarchical tree traversal as a means of quickly identifying pairs of potentially colliding 3D objects and?we...

In part II of this series, we looked at hierarchical tree traversal as a means of quickly identifying pairs of potentially colliding 3D objects and we demonstrated how optimizing for low divergence can result in substantial performance gains on massively parallel processors. Having a fast traversal algorithm is not very useful, though, unless we also have a tree to go with it. In this part��

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