3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DC2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen +2
Recent studies have shown that Binary Graph Neural Networks (GNNs) are promising for saving computations of GNNs through binarized tensors. Prior work, however, mainly focused on a…
cs.LG2022★ 3 cited
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen, Wei Niu, Bin Ren +2
Data redundancy is ubiquitous in the inputs and intermediate results of Deep Neural Networks (DNN). It offers many significant opportunities for improving DNN performance and effic…
cs.LG2022
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework
Xiaofeng Li, Bin Ren, Xipeng Shen +1
There is a growing demand for shifting the delivery of AI capability from data centers on the cloud to edge or end devices, exemplified by the fast emerging real-time AI-based apps…