213 citations · 934 across the 47 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.LG2016★ 18 cited
CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis
Maohua Zhu, Liu Liu, Chao Wang +1
Designing and implementing efficient, provably correct parallel neural network processing is challenging. Existing high-level parallel abstractions like MapReduce are insufficientl…
cs.LG2016★ 3 cited
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
Chao Wang, Qi Yu, Lei Gong +3
As the emerging field of machine learning, deep learning shows excellent ability in solving complex learning problems. However, the size of the networks becomes increasingly large…
cs.ET2016★ 2 cited
A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors
Nan Wu, Zheyu Liu, Fei Qiao +4
With many advantageous features, softness and better biocompatibility, flexible electronic devices have developed rapidly and increasingly attracted attention. Many currently appli…