High-level GPU computing with Jacket for MATLAB and C/C++

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8060, Issue , 2011, Pages

  Pryor, Gallagher ^a   Lucey, Brett ^a   Maddipatla, Sandeep ^a   McClanahan, Chris ^a   Melonakos, John ^a   Venugopalakrishnan, Vishwanath ^a   Patel, Krunal ^a   Yalamanchili, Pavan ^a   Malcolm, James ^a  

^a AccelerEyes   (United States)

Author keywords

C; C++; CUDA; GPGPU; GPU; Jacket; MATLAB

Indexed keywords

C; CUDA; GPGPU; GPU; JACKET;

COMPUTER SIMULATION; IMAGE PROCESSING; LINEAR ALGEBRA; PROGRAM PROCESSORS;

MATLAB;

EID: 79959565188     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.884899     Document Type: Conference Paper

References (23)

1. AccelerEyes. Addr.: 800 W Peachtree St NW, Atlanta, GA 30308, USA. URL: http://www.accelereyes.com.
2. The MathWorks, Inc. MATLAB. Addr.: The MathWorks, Inc., 3 Apple Hill Drive, Natick, MA 01760-2098, USA. URL: http://www.mathworks.com.
3. Andy Webb: "MATLABs Racing Jacket". Automated Trader, vol. 16, no. 1, pp 54-61. 2010.
4. Gaurav Sharma and Jos Martin, "MATLAB: A Language for Parallel Computing". Springer International Journal of Parallel Programming, vol. 37, no.1, pp. 3-36. 2008.
5. AccelerEyes: "Jacket v1.7.1: Getting Started Guide". URL: http://www.accelereyes.com/services/documentation.
6. Mark Harris, "Optimizing CUDA". SuperComputing 2007 Tutorial, Reno, NV, USA. November 2007.
7. V. Volkov and J. W. Demmel, "Benchmarking GPUs to Tune Dense Linear Algebra". SC '08: Proceedings of the 2008 ACM/IEEE conference on Supercomputing, pp. 1-11, Austin, Texas, USA, 2008.
8. Torben's Corner. Available at the Wiki of AccelerEyes at: URL: http://www.accelereyes.com/wiki/index.php?title=Torben's-Corner.
9. Goering, R., "MATLAB edges closer to electronic design automation world," EE Times, Oct. 2004.
10. The Mathworks, "The Origins of MATLAB" Available at http://www.mathworks.com/company/newsletters/news-notes/clevescorner/dec04.html
11. nVidia, "CUDA programming guide 1.1," Available at http://developer.download.nvidia.com/compute/cuda/1-1/NVIDIA-CUDA-Programming- Guide-1.1.pdf
12. nVidia, "CUDA CUBLAS Library 1.1," Available at http://developer.download.nvidia.com/compute/cuda/1-1/CUBLAS-Library-1.1.pdf
13. nVidia, "CUDA CUFFT Library 1.1," Available at http://developer.download.nvidia.com/compute/cuda/1-1/CUFFT-Library-1.1.pdf
14. nVidia, "Accelerating MathWorks MATLAB with CUDA," Available at http://developer.download.nvidia.com/compute/cuda/1-0/ AcceleratingMATLABwithCUDA.pdf
15. nVidia, "PTX: Parallel Thread Execution ISA Version 1.1", Available at http://www.nvidia.com/object/cuda-develop.html
16. Buck, I., Foley, T., Horn, D., Sugerman, J., Fatahalian, K., Houston, M., and Hanrahan, P., "Brook for GPUs: Stream computing on graphics hardware." Transactions on Graphics and Visualization vol. 23, no. 3, Aug. 2004.
17. Tarditi, D., Puri, S., and Oglesby, J. Accelerator: Using data parallelism to program GPUs for General-Purpose uses. In International Conference on Architectural Support for Programming Languages and Operating Systems (2006)
18. McCool, M. and Toit, S.D., Metaprogramming GPUs with Sh. A K Peters, 2004.
19. Mark, W.R., Glanville, R.S., Akeley, K., and Kilgard, M.J. "Cg: A system for programming graphics in a c-like language." Transactions on Graphics and Visualization vol. 22, no. 3, pp. 896-907, 2003
20. Choy, R. and Edelman, A. "Parallel MATLAB: Doing it Right." Proceedings of the IEEE vol. 93, no. 2, pp. 331-341, 2005 (Pubitemid 40851228)
21. Matt Pharr, ed., GPU Gems 2, Addison-Wesley, 2005.
22. Hubert Nguyen, ed., GPU Gems 3, Addison-Wesley, 2007.
23. D. Göddeke, GPGPU Basic Math Tutorial, tech. report 300, Fachbereic Mathematik, Universitt Dortmund, 2005