Abstract: Fixed-point quantization techniques have attracted considerable attention in deep neural network (DNN) inference acceleration. Nevertheless, they often require time-consuming fine-tuning or ...

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Abstract: Recent SRAM-based in-memory computing (IMC) hardware demonstrates high energy efficiency and throughput for matrix–vector multiplication (MVM), the dominant kernel for deep neural networks ...