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- Publisher Website: 10.1145/3190834.3190848
- Scopus: eid_2-s2.0-85048818437
- WOS: WOS:000492752000004
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Conference Paper: Bulk-synchronous parallel simultaneous BVH traversal for collision detection on GPUs
Title | Bulk-synchronous parallel simultaneous BVH traversal for collision detection on GPUs |
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Authors | |
Keywords | GPU BVH BSP Collision detection Parallel computing |
Issue Date | 2018 |
Citation | Proceedings - I3D 2018: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2018, article no. 4 How to Cite? |
Abstract | © 2018 Association for Computing Machinery. Simultaneous BVH traversal, as a dynamic task of pair-wise proximity tests, poses several challenges in terms of parallelization using GPUs. It isahighly dynamic and data-dependent problem which can induce control-flow divergence and inefficient data-access patterns. We present a simple solution using the bulk-synchronous parallel model to ensure a uniform mode of execution, and balanced workloads across GPU threads. The method is easy to implement, fast and operates entirely on the GPU by relying on a topology-centred work expansion scheme to ensure large concurrent workloads. We demonstrate speedups of upto 7.1× over the widely used "streams" model for GPU based parallel collision detection. |
Persistent Identifier | http://hdl.handle.net/10722/288576 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chitalu, Floyd M. | - |
dc.contributor.author | Dubach, Christophe | - |
dc.contributor.author | Komura, Taku | - |
dc.date.accessioned | 2020-10-12T08:05:19Z | - |
dc.date.available | 2020-10-12T08:05:19Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Proceedings - I3D 2018: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2018, article no. 4 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288576 | - |
dc.description.abstract | © 2018 Association for Computing Machinery. Simultaneous BVH traversal, as a dynamic task of pair-wise proximity tests, poses several challenges in terms of parallelization using GPUs. It isahighly dynamic and data-dependent problem which can induce control-flow divergence and inefficient data-access patterns. We present a simple solution using the bulk-synchronous parallel model to ensure a uniform mode of execution, and balanced workloads across GPU threads. The method is easy to implement, fast and operates entirely on the GPU by relying on a topology-centred work expansion scheme to ensure large concurrent workloads. We demonstrate speedups of upto 7.1× over the widely used "streams" model for GPU based parallel collision detection. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - I3D 2018: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games | - |
dc.subject | GPU | - |
dc.subject | BVH | - |
dc.subject | BSP | - |
dc.subject | Collision detection | - |
dc.subject | Parallel computing | - |
dc.title | Bulk-synchronous parallel simultaneous BVH traversal for collision detection on GPUs | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/3190834.3190848 | - |
dc.identifier.scopus | eid_2-s2.0-85048818437 | - |
dc.identifier.spage | article no. 4 | - |
dc.identifier.epage | article no. 4 | - |
dc.identifier.isi | WOS:000492752000004 | - |