A Hardware Friendly Variation-Tolerant Framework for RRAM-Based Neuromorphic Computing
IEEE Trans Circuits Syst I Regul Pap（2024）
关键词
Artificial neural networks,Resistance,Power demand,Hardware,Quantization (signal),Accuracy,Registers,RRAM,neural network,RRAM-based neural network accelerators,unary-based non-uniform quantization,OU-based RRAM neural network accelerators,OU skipping,OU recombination,OU compensation
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