294 citations · 898 across the 16 of their papers we have counts for
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cs.ET2018★ 11 cited
Efficient ConvNets for Analog Arrays
Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti +1
Analog arrays are a promising upcoming hardware technology with the potential to drastically speed up deep learning. Their main advantage is that they compute matrix-vector product…
cs.LG2018★ 53 cited
Training LSTM Networks with Resistive Cross-Point Devices
Tayfun Gokmen, Malte Rasch, Wilfried Haensch
In our previous work we have shown that resistive cross point devices, so called Resistive Processing Unit (RPU) devices, can provide significant power and speed benefits when trai…