Abstract: The energy-efficient computing-in-memory (CIM) architectures have drawn much attention as the increasing demands of neural networks. Several SRAM-based CIM architectures adopt a digital ...
Abstract: End-to-end stochastic computing (SC) enables fault-tolerant and area-efficient neural acceleration by conducting non-linear addition, including accumulation and activation functions, in SC ...
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