Origami: A convolutional network accelerator

Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

Volumn 20-22-May-2015, Issue , 2015, Pages 199-204

  Cavigelli, Lukas ^a   Gschwend, David ^a   Mayer, Christoph ^a   Willi, Samuel ^a   Muheim, Beat ^a   Benini, Luca ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

Accelerator; Classification; Computer vision; Machine learning; Pattern recognition; Signal processing; VLSI design

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; CONVOLUTION; EMBEDDED SYSTEMS; LEARNING SYSTEMS; PARTICLE ACCELERATORS; PATTERN RECOGNITION; PROGRAM PROCESSORS; REAL TIME SYSTEMS; SIGNAL PROCESSING;

65-NM TECHNOLOGIES; APPLICATION SCENARIO; CONVOLUTIONAL NETWORKS; EXTERNAL MEMORY; NETWORK-BASED ALGORITHM; OBJECT DETECTION AND LOCALIZATIONS; POWER CONSTRAINTS; VLSI DESIGN;

COMPLEX NETWORKS;

EID: 84955438096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2742060.2743766     Document Type: Conference Paper

References (20)

1. F. Porikli, F. Bremond, S. L. Dockstader, J. Ferryman, A. Hoogs, B. C. Lovell, S. Pankanti, B. Rinner, P. Tu, and P. L. Venetianer, "Video surveillance: past, present, and now the future [DSP Forum]," IEEE Signal Process. Mag., Vol. 30, pp. 190-198, 2013.
2. A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Proc. NIPS'12, 2012.
3. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, "Going Deeper with Convolutions," in arXiv:1409.4842, 2014.
4. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun, "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks," in arXiv:1312.6229, 2013.
5. Y. Taigman and M. Yang, "Deepface: Closing the gap to human-level performance in face verification," in Proc. IEEE CVPR'13, 2013.
6. T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, "Microsoft COCO: Common Objects in Context," in arXiv:1405.0312, 2014.
7. C. Labovitz, S. Iekel-Johnson, D. McPherson, J. Oberheide, and F. Jahanian, "Internet inter-domain traffic," ACM SIGCOMM Computer Communication Review, Vol. 40. p. 75, 2010.
8. C. Bobda and S. Velipasalar, Eds., Distributed Embedded Smart Cameras. Springer, 2014.
9. C. Farabet, C. Couprie, L. Najman, and Y. LeCun, "Learning hierarchical features for scene labeling," IEEE Trans. PAMI, 2013.
10. L. Cavigelli, M. Magno, and L. Benini, "Accelerating Real-Time Embedded Scene Labeling with Convolutional Networks," in Proc. DAC'15, 2015.
11. R. Collobert, "Torch7: A matlab-like environment for machine learning," Proc. NIPSW'11, 2011.
12. Y. Jia, "Caffe: An Open Source Convolutional Architecture for Fast Feature Embedding." 2013.
13. S. Chetlur, C. Woolley, P. Vandermersch, J. Cohen, J. Tran, B. Catanzaro, and E. Shelhamer, "cuDNN: Efficient Primitives for Deep Learning," in arXiv:1410.0759, 2014.
14. C. Farabet, C. Poulet, J. Y. Han, and Y. LeCun, "CNP: An FPGA-based processor for Convolutional Networks," in Proc. IEEE FPL'09, 2009, vol. 1, no. 1, pp. 32-37.
15. C. Farabet, B. Martini, B. Corda, P. Akselrod, E. Culurciello, and Y. LeCun, "NeuFlow: A runtime reconfigurable dataflow processor for vision," in Proc. IEEE CVPRW'11, 2011, pp. 109-116.
16. P. H. Pham, D. Jelaca, C. Farabet, B. Martini, Y. LeCun, and E. Culurciello, "NeuFlow: Dataflow vision processing system-on-a-chip," in Midwest Symposium on Circuits and Systems, 2012, pp. 1044-1047.
17. V. Gokhale, J. Jin, A. Dundar, B. Martini, and E. Culurciello, "A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks," in Proc. IEEE CVPR'14, 2014, pp. 682-687.
18. F. Conti and L. Benini, "A Ultra-Low-Energy Convolution Engine for Fast Brain-Inspired Vision in Multicore Clusters," in Proc. DATE'15, 2015.
19. S. Gould, R. Fulton, and D. Koller, "Decomposing a scene into geometric and semantically consistent regions," in Proc. IEEE ICCV'09, 2009.
20. M. Schaffner, F. K. Gürkaynak, A. Smolic, and L. Benini, "DRAM or no-DRAM? Exploring Linear Solver Architectures for Image Domain Warping in 28 nm CMOS," in Proc. IEEE DATE'15, 2015.