Abstract: Many computing-in-memory (CIM) processors have been proposed for edge deep learning (DL) acceleration. They usually rely on analog CIM techniques to achieve high-efficiency NN inference with ...

Abstract: The conventional single-gate MOSFETs faces great challenges in scaling down of devices due to the severe short-channel effects that reason an exponential gain in the leakage current. To ...