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GPU-based spatial interaction force simulation
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Source ACM Southeast Regional Conference archive
Proceedings of the 46th Annual Southeast Regional Conference on XX table of contents
Auburn, Alabama
SESSION: Simulation table of contents
Pages 408-410  
Year of Publication: 2008
ISBN:978-1-60558-105-7
Authors
Chris Truszkowski  University of Scranton, Scranton, PA
Benjamin Bishop  University of Scranton, Scranton, PA
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 15,   Citation Count: 0
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ABSTRACT

This paper presents a study of performance in spatial interaction force simulation. Both CPU-based and GPU-based simulations are examined using a realistic scalable data set. Performance is analyzed for various stages of execution and simulation/optimization parameters.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Nvidia cuda forum. http://forums.nvidia.com/lofiversion/index.php?t53240.html.
 
2
Cuda compute unified device architecture - programming guide. http://developer.download.nvidia.com/compute/cuda/1_1/NVIDIA_CUDA_Programming _Guide_1.1.pdf, 2007.
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S. A. Ehmann and M. C. Lin. Accurate and fast proximity queries between polyhedra using convex surface decomposition. In A. Chalmers and T.-M. Rhyne, editors, EG 2001 Proceedings, volume 20(3), pages 500--510. Blackwell Publishing, 2001.
 
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POV-Team. Pov-ray reference. http://www.povray.org/redirect/www.povray.org/ftp/pub/povray/Official/Documentation/povdoc-3.6.1-us-pdf.zip, 1997.
 
7
A. Witkin. Particle system dynamics. http://www.cs.cmu.edu/~baraff/sigcourse/notesc.pdf, 1997.

Collaborative Colleagues:
Chris Truszkowski: colleagues
Benjamin Bishop: colleagues