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Convolutional Neural Networks (CNN) have been the centerpiece of many applications including but not limited to computer vision, speech processing, and Natural Language Processing (NLP).
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C. Zhang, P. Li, G. Sun, Y. Guan, B. Xiao, and J. Cong, “Optimizing fpga-based accelerator design for deep convolutional neural networks,” in Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays . ACM, 2015, pp. 161–170
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
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N. Suda, V. Chandra, G. Dasika, A. Mohanty, Y. Ma, S. Vrudhula, J.-s. Seo, and Y. Cao, “Throughput-optimized opencl-based fpga accelerator for large-scale convolutional neural networks,” in Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays . ACM, 2016, pp. 16–25
2016
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S. Han, X. Liu, H. Mao, J. Pu, A. Pedram, M. A. Horowitz, and W. J. Dally, “Eie: efficient inference engine on compressed deep neural network,” in Computer Architecture (ISCA), 2016 ACM/IEEE 43rd Annual International Symposium on . IEEE, 2016, pp. 243–254
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2016
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2017
Later among the works it cites.
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2017
Later among the works it cites.
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Cited alongside, same era.
A. Shafiee, A. Nag, N. Muralimanohar, R. Balasubramonian, J. P. Strachan, M. Hu, R. S. Williams, and V. Srikumar, “Isaac: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars,” ACM SIGARCH Computer Architecture News , vol. 44, no. 3, pp. 14–26, 2016
2016
Cited alongside, same era.
Y.-H. Chen, T. Krishna, J. Emer, and V. Sze, “Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks,” 2016
2016
Cited alongside, same era.
Y. Shen, N. C. Harris, S. Skirlo, M. Prabhu, T. Baehr-Jones, M. Hochberg, X. Sun, S. Zhao, H. Larochelle, D. Englund et al. , “Deep learning with coherent nanophotonic circuits,” Nature Photonics , vol. 11, no. 7, p. 441, 2017
2017
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C.-H. Lin, K. L. J. Wong, T.-Y. Kim, G. R. Xie, D. Major, G. Unruh, S. R. Dommaraju, H. Eberhart, and A. Venes, “A 16b 6gs/s nyquist dac with imd¡-90dbc up to 1.9 ghz in 16nm cmos,” in Solid-State Circuits Conference-(ISSCC), 2018 IEEE International . IEEE, 2018, pp. 360–362
2018
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