Communication-minimizing 2D convolution in GPU registers

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Volumn , Issue , 2013, Pages 2116-2120

  Iandola, Forrest N ^a   Sheffield, David ^a   Anderson, Michael J ^a   Phothilimthana, Phitchaya Mangpo ^a   Keutzer, Kurt ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

autotuning; Convolution; GPU; parallel

Indexed keywords

CONVOLUTION; GRAPHICS PROCESSING UNIT; MEMORY ARCHITECTURE; PARALLEL PROCESSING SYSTEMS; PROGRAM PROCESSORS;

AUTOTUNING; CONVOLUTION ALGORITHM; FUTURE ARCHITECTURES; IMAGE CONVOLUTION; IMAGE PROCESSING AND COMPUTER VISION; PARALLEL; PARALLEL PROCESSOR; STATE OF THE ART;

IMAGE PROCESSING;

EID: 84897798390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2013.6738436     Document Type: Conference Paper

References (19)

1. Bor-Yiing Su, Parallel Application Library for Object Recognition, Chapter 3, Ph.D. thesis, University of California, Berkeley, 2012.
2. Navneet Dalal and Bill Triggs, "Histograms of oriented gradients for human detection," in CVPR, 2005.
3. David G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no. 2, 2004.
4. James Demmel, Mark Hoemmen, Marghoob Mohiyuddin, and Katherine Yelick, "Avoiding communication in sparse matrix computations," in IEEE International Parallel Distributed Processing Symposium (IPDPS), 2008.
5. Scott Beamer, Krste Asanovic, and David Patterson, " Directionoptimizing breadth-first search," in Supercomputing, 2012.
6. James Malcolm, Pavan Yalamanchili, Chris McClanahan, Vishwanath Venugopalakrishnan, Krunal Patel, and John Melonakos, "ArrayFire: a GPU acceleration platform," SPIE Modeling and Simulation for Defense Systems and Applications, 2012.
7. Jason Ansel, Cy Chan, Yee Lok Wong, Marek Olszewski, Qin Zhao, Alan Edelman, and Saman Amarasinghe, "Petabricks: A language and compiler for algorithmic choice," in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2009.
8. Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, and Fredo Durand, "Decoupling algorithms from schedules for easy optimization of image processing pipelines," in SIGGRAPH, 2012.
9. "NVIDIA's next generation CUDA compute architecture: kepler GK110," NVIDIA Whitepaper, 2012.
10. Michael J. Anderson, David Sheffield, and Kurt Keutzer, "A predictive model for solving small linear algebra problems in GPU registers," in IEEE International Parallel Distributed Processing Symposium (IPDPS), 2012.
11. Nathan Bell and Michael Garland, "Implementing sparse matrixvector multiplication on throughput-oriented processors," in Supercomputing, 2009.
12. "NVIDIA geforce gtx 680: The fastest, most efficient GPU ever built," NVIDIA Whitepaper, 2012.
13. Vasily Volkov and James W. Demmel, "Benchmarking GPUs to tune dense linear algebra," in Supercomputing, 2008.
14. "Fairchild Imaging CCD595," fairchildimaging.com/products/ fpa/ccd/area/ccd 595.htm.
15. "OpenCV," opencv.willowgarage.com.
16. "NVIDIA Performance Primitives (NPP)," developer.nvidia.com/ npp.
17. Salman Ul Haq, "Cuvilib: GPU accelerated vision &imaging library," in GPU Technology Conference (GTC), 2010.
18. Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, and Saman Amarasinghe, "Portable performance on heterogeneous architectures," in Architectural Support for Programming Language and Operating Systems (ASPLOS), 2013.
19. "cuFFT," developer.nvidia.com/cufft.