1. Cramming more components onto integrated circuits;Moore G. E.;Electronics Magazine,1965
2. K. He , X. Zhang , S. Ren , and J. Sun . Deep residual learning for image recognition. https://arxiv.org/pdf/1512.03385.pdf (online) , 2015 . K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. https://arxiv.org/pdf/1512.03385.pdf (online), 2015.
3. D. Silver , T. Hubert , J. Schrittwieser , I. Antonoglou , M. Lai , A. Guez , M. Lanctot , L. Sifre , D. Kumaran , T. Graepel , T. Lillicrap , K. Simonyan , and D. Hassabis . Mastering chess and shogi by self-play with a general reinforcement learning algorithm. https://arxiv.org/pdf/1712.01815.pdf (online) , 2017 . D. Silver, T. Hubert, J. Schrittwieser, I. Antonoglou, M. Lai, A. Guez, M. Lanctot, L. Sifre, D. Kumaran, T. Graepel, T. Lillicrap, K. Simonyan, and D. Hassabis. Mastering chess and shogi by self-play with a general reinforcement learning algorithm. https://arxiv.org/pdf/1712.01815.pdf (online), 2017.
4. J. P. Fricker and A. Hock . CS-1 wafer-scale deep learning system . In Proc. Supercomputing , 2019 . https://tinyurl.com/txuzcps. J. P. Fricker and A. Hock. CS-1 wafer-scale deep learning system. In Proc. Supercomputing, 2019. https://tinyurl.com/txuzcps.
5. HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array