31 citations · 72 across the 10 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.ET2017
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics
Hyungjun Kim, Taesu Kim, Jinseok Kim +1
Artificial Neural Network computation relies on intensive vector-matrix multiplications. Recently, the emerging nonvolatile memory (NVM) crossbar array showed a feasibility of impl…