An Energy-Efficient Inference Engine for a Configurable ReRAM-Based Neural Network Accelerator
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DOI: 10.1109/tcad.2022.3184464
Abstract: Resistive random-access memory (ReRAM) offers a potential solution to accelerate the inference of deep neural networks by performing processing-in-memory. However, the peripheral circuits of ReRAM crossbars used to perform arithmetic operations consume significant amounts of… read more here.
Keywords: reram based; reram; energy; accelerator ... See more keywords