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20162022
most citedNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks

78 citations · 186 across the 16 of their papers we have counts for

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cs.AR2021★ 16 cited

Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search

Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu +1

Emerging device-based Computing-in-memory (CiM) has been proved to be a promising candidate for high-energy efficiency deep neural network (DNN) computations. However, most emergin…