75 citations · 305 across the 39 of their papers we have counts for
Showing cs.DCShow all
2 papers · 1 filter
cs.DC2020★ 1 cited
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision
Hongjie Wang, Yang Zhao, Chaojian Li +2
The excellent performance of modern deep neural networks (DNNs) comes at an often prohibitive training cost, limiting the rapid development of DNN innovations and raising various e…
cs.DC2020★ 75 cited
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Pengfei Xu, Xiaofan Zhang, Cong Hao +7
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a growing demand for DNN chips. However, designing DNN chips is non-trivial because: (1) mainstream DNNs have millio…