An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory

IEEE Transactions on Circuits and Systems I: Regular Papers(2022)

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摘要
We demonstrate SONOS (silicon-oxide-nitride-oxide-silicon) analog memory arrays that are optimized for neural network inference. The devices are fabricated in a 40nm process and operated in the subthreshold regime for in-memory matrix multiplication. Subthreshold operation enables low conductances to be implemented with low error, which matches the typical weight distribution of neural networks, w...
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关键词
SONOS devices,Neural networks,Transistors,Logic gates,Programming,Memristors,Analog memory
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