Evaluating Neural Network-Inspired Analog-to-Digital Conversion with Low-Precision RRAM

Weidong Cao,Liu Ke,Ayan Chakrabarti,Xuan Zhang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems（2021）

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摘要

Recent work has demonstrated great potentials of neural network-inspired analog-to-digital converters (NNADCs) in many emerging applications. These NNADCs often rely on resistive random-access memory (RRAM) devices to realize basic NN operations, and usually need high-precision RRAM (6–12 b) to achieve moderate quantization resolutions (4–8 b). Such an optimistic assumption of RRAM precision, howe...

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关键词

Artificial neural networks,Quantization (signal),Computer architecture,Hardware,Design methodology,Substrates,Performance evaluation

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