294 citations · 898 across the 16 of their papers we have counts for
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cs.ET2019★ 12 cited
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
Hyungjun Kim, Malte Rasch, Tayfun Gokmen +5
A resistive memory device-based computing architecture is one of the promising platforms for energy-efficient Deep Neural Network (DNN) training accelerators. The key technical cha…
cs.NE2019★ 17 cited
Training large-scale ANNs on simulated resistive crossbar arrays
Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch
Accelerating training of artificial neural networks (ANN) with analog resistive crossbar arrays is a promising idea. While the concept has been verified on very small ANNs and toy…