Noise-Tolerant CIM-DNNs Explained.
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DOI: 10.1109/tnnls.2025.3621473
Abstract: Compute-in-memory (CIM) systems implemented with resistive random access memory (RRAM) crossbars are a promising approach for accelerating deep neural network (DNN) computations. However, it is noteworthy that RRAM-based CIM systems are susceptible to computational errors.… read more here.
Keywords: vat; noise tolerant; dnns; cim dnns ... See more keywords