344 citations · 1.3k across the 15 of their papers we have counts for
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Neural Network Training with Asymmetric Crosspoint Elements
Murat Onen, Tayfun Gokmen, Teodor K. Todorov +5
Analog crossbar arrays comprising programmable nonvolatile resistors are under intense investigation for acceleration of deep neural network training. However, the ubiquitous asymm…
Algorithm for Training Neural Networks on Resistive Device Arrays
Tayfun Gokmen, Wilfried Haensch
Hardware architectures composed of resistive cross-point device arrays can provide significant power and speed benefits for deep neural network training workloads using stochastic…
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…
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…