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We present Caffe con Troll (CcT), a fully compatible end-to-end version of the popular framework Caffe with rebuilt internals.
Automatically tuned linear algebra software
R. C. Whaley and J. J. Dongarra · 1998
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High performance convolutional neural networks for document processing
K. Chellapilla et al · 2006
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High-performance implementation of the level-3 blas
K. Goto and R. Van De Geijn · 2008
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Theano: a CPU and GPU math expression compiler
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio · 2010
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Hogwild!: A lock-free approach to parallelizing stochastic gradient descent
F. Niu, B. Recht, C. Ré, and S. J. Wright · 2011
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Large scale distributed deep networks
J. Dean et al · 2012
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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cuDNN: Efficient Primitives for Deep Learning
S. Chetlur, C. Woolley, P. Vandermersch, J. Cohen, J. Tran, B. Catanzaro, and E. Shelhamer · 2014
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Project adam: Building an efficient and scalable deep learning training system
T. Chilimbi, Y. Suzue, J. Apacible, and K. Kalyanaraman · 2014
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Deep learning: Methods and applications
L. Deng and D. Yu · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
Dogwild!: Distributed Hogwild for CPU & GPU
C. Noel and S. Osindero · 2014
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Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
N. Vasilache, J. Johnson, M. Mathieu, S. Chintala, S. Piantino, and Y. LeCun · 2014
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DimmWitted: A study of main-memory statistical analytics
C. Zhang and C. Ré · 2014
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SINGA: A distributed system for deep learning
W. Wang, G. Chen, T. Dinh, J. Gao, B. Ooi, and K. Tan · 2015
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Text Understanding from Scratch
X. Zhang and Y. LeCun · 2015
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