gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

We present novel parallel algorithms for collision detection and separation distance computation for rigid and deformable models that exploit the computational capabilities of many‐core GPUs. Our approach uses thread and data parallelism to perform fast hierarchy construction, updating, and traversa...

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Veröffentlicht in:Computer graphics forum Jg. 29; H. 2; S. 419 - 428
Hauptverfasser: Lauterbach, C., Mo, Q., Manocha, D.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.05.2010
Schlagworte:
Algorithms
and systems
Collision avoidance systems
Computation
Computer simulation
Graphics boards
Hierarchies
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Geometric Algorithms
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Object hierarchies
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric Algorithms, languages, and systems
Image processing systems
languages
Mathematical models
Performance enhancement
Queries
Separation
Simulation
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:We present novel parallel algorithms for collision detection and separation distance computation for rigid and deformable models that exploit the computational capabilities of many‐core GPUs. Our approach uses thread and data parallelism to perform fast hierarchy construction, updating, and traversal using tight‐fitting bounding volumes such as oriented bounding boxes (OBB) and rectangular swept spheres (RSS). We also describe efficient algorithms to compute a linear bounding volume hierarchy (LBVH) and update them using refitting methods. Moreover, we show that tight‐fitting bounding volume hierarchies offer improved performance on GPU‐like throughput architectures. We use our algorithms to perform discrete and continuous collision detection including self‐collisions, as well as separation distance computation between non‐overlapping models. In practice, our approach (gProximity) can perform these queries in a few milliseconds on a PC with NVIDIA GTX 285 card on models composed of tens or hundreds of thousands of triangles used in cloth simulation, surgical simulation, virtual prototyping and N‐body simulation. Moreover, we observe more than an order of magnitude performance improvement over prior GPU‐based algorithms.
Bibliographie:ark:/67375/WNG-9Z9H5QP0-4
ArticleID:CGF1611
istex:3ACED5E6135178FC80ACB9EB2F378D04B4E8F61B
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2009.01611.x