Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster-Reference-Cited by-同舟云学术

Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster

Published:2016-08-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 International Symposium on Low Power Electronics and Design
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Author:

Zhang Chen¹,Wu Di²,Sun Jiayu¹,Sun Guangyu³,Luo Guojie³,Cong Jason⁴

Affiliation:

1. Center for Energy-Efficient Computing and Applications, Peking University, Beijing, China

2. Computer Science Department, University of California, Los Angeles, USA

3. Center for Energy-Efficient Computing and Applications, Peking University, Beijing, China and PKU/UCLA Joint Research Institute in Science and Engineering

4. Center for Energy-Efficient Computing and Applications, Peking University, Beijing, China and Computer Science Department, University of California, Los Angeles, USA and PKU/UCLA Joint Research Institute in Science and Engineering

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2934583.2934644

Reference19 articles.

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2. A. Coates etal "Deep learning with cots hpc systems " in Proceedings of the 30th international conference on machine learning 2013 pp. 1337--1345. A. Coates et al. "Deep learning with cots hpc systems " in Proceedings of the 30th international conference on machine learning 2013 pp. 1337--1345.

3. O. Yadan etal "Multi-gpu training of convnets " arXiv preprint arXiv:1312.5853 p. 17 2013. O. Yadan et al. "Multi-gpu training of convnets " arXiv preprint arXiv:1312.5853 p. 17 2013.

4. Y. Q. C. Jia "An Open Source Convolutional Architecture for Fast Feature Embedding " http://caffe.berkeleyvision.org 2013. Y. Q. C. Jia "An Open Source Convolutional Architecture for Fast Feature Embedding " http://caffe.berkeleyvision.org 2013.

5. DianNao

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