344 citations · 1.3k across the 15 of their papers we have counts for
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cs.ET2017★ 53 cited
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee +1
Recently we have shown that an architecture based on resistive processing unit (RPU) devices has potential to achieve significant acceleration in deep neural network (DNN) training…
cs.LG2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
Tayfun Gokmen, O. Murat Onen, Wilfried Haensch
In a previous work we have detailed the requirements to obtain a maximal performance benefit by implementing fully connected deep neural networks (DNN) in form of arrays of resisti…