Conference paper
Training deep neural networks with 8-bit floating point numbers
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NeurIPS 2018
This survey paper summarizes recent progress of deep learning circuits and systems technologies and contains four topics: hardware-centric deep learning algorithms, digital architectures, analog architectures, and system demonstrations. We present an overview of these four areas and introduce key contributions of papers in this special issue.
Naigang Wang, Jungwook Choi, et al.
NeurIPS 2018
Arnab Neelim Mazumder, Jian Meng, et al.
IEEE JESTCS
Jae-Sun Seo, Bernard Brezzo, et al.
CICC 2011
Suyoung Bang, Jae-Sun Seo, et al.
VLSI Circuits 2015