SC-DCNN

Author:

Ren Ao1,Li Zhe1,Ding Caiwen1,Qiu Qinru1,Wang Yanzhi1,Li Ji2,Qian Xuehai2,Yuan Bo3

Affiliation:

1. Syracuse University, Syracuse, NY, USA

2. University of Southern California, Los Angeles, CA, USA

3. City University of New York, New York, NY, USA

Funder

the seedling fund of DARPA SAGA program

Publisher

Association for Computing Machinery (ACM)

Reference46 articles.

1. Stanford cs class, cs231n: Convolutional neural networks for visual recognition, 2016. URL http://cs231n.github. io/convolutional-networks/.

2. Convolutional neural networks (lenet), 2016. URL http://deeplearning.net/tutorial/lenet.html# motivation.

3. Nangate 45nm Open Library, Nangate Inc., 2009. URL http: //www.nangate.com/ .

4. F. Akopyan, J. Sawada, A. Cassidy, R. Alvarez-Icaza, J. Arthur, P. Merolla, N. Imam, Y. Nakamura, P. Datta, G.-J. Nam, B. Taba, M. Beakes, B. Brezzo, J. B. Kuang, R. Manohar, W. P. Risk, B. Jackson, and D. S. Modha. Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 34(10):1537--1557, 2015.

5. R. Andri, L. Cavigelli, D. Rossi, and L. Benini. Yodann: An ultra-low power convolutional neural network accelerator based on binary weights. arXiv preprint arXiv:1606.05487, 2016.

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