1k citations · 1.4k across the 22 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.AR2017★ 140 cited
A Survey of FPGA-Based Neural Network Accelerator
Kaiyuan Guo, Shulin Zeng, Jincheng Yu +2
Recent researches on neural network have shown significant advantage in machine learning over traditional algorithms based on handcrafted features and models. Neural network is now…
cs.CV2017★ 1k cited
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin, Song Han, Huizi Mao +2
Large-scale distributed training requires significant communication bandwidth for gradient exchange that limits the scalability of multi-node training, and requires expensive high-…