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Abstract: Applications such as Graph Convolutional Networks (GCNs) and Deep Learning Recommendation Models (DLRMs) have computational and data-movement requirements beyond those seen in typical NN ...

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 ...

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