DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference

Ankur Agrawal, Bruce M. Fleischer, Silvia Mueller, Xiao Sun, Naigang Wang, Jungwook Choi, Kailash Gopalakrishnan. DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference. In Naofumi Takagi, Sylvie Boldo, Martin Langhammer, editors, 26th IEEE Symposium on Computer Arithmetic, ARITH 2019, Kyoto, Japan, June 10-12, 2019. pages 92-95, IEEE, 2019. [doi]

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