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We discuss several modifications and extensions over the previous proposed Cnvlutin (CNV) accelerator for convolutional and fully-connected layers of Deep Learning Network.
Y. Chen, T. Luo, S. Liu, S. Zhang, L. He, J. Wang, L. Li, T. Chen, Z. Xu, N. Sun, and O. Temam, “DaDianNao: A machine-learning supercomputer,” in Microarchitecture (MICRO), 2014 47th Annual IEEE/ACM International Symposium on
2014
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2015
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J. Albericio, P. Judd, T. Hetherington, T. Aamodt, N. E. Jerger, and A. Moshovos, “Cnvlutin: Ineffectual-neuron-free deep neural network computing,” in Proceedings of the 43rd International Symposium on Computer Architecture
2016
Cited alongside, same era.
K. Ullrich, E. Meeds, and M. Welling, “Soft weight-sharing for neural network compression,” in Proceedings of the 5th International Conference on Learning Representations
2017
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