Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks

19 January 2019

Papers citing "Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks"

4 / 4 papers shown

Title
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators Yaniv Blumenfeld Itay Hubara Daniel Soudry 37 3 0 25 Jan 2024
Numerical Stability of DeepGOPlus Inference Inés Gonzalez Pepe Yohan Chatelain Gregory Kiar Tristan Glatard BDL 19 2 0 13 Dec 2022
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
FPRaker: A Processing Element For Accelerating Neural Network Training Omar Mohamed Awad Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Ciaran Bannon Anand Jayarajan Gennady Pekhimenko Andreas Moshovos 20 15 0 15 Oct 2020