Receptive-Field and Switch-Matrices Based ReRAM Accelerator with Low Digital-Analog Conversion for CNNs

Yingxun Fu,Xun Liu,Jiwu Shu,Zhirong Shen,Shiye Zhang,Jun Wu,Li Ma

2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)（2021）

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摘要

Process-in-Memory (PIM) based accelerator becomes one of the best solutions for the execution of convolution neural networks (CNN). Resistive random access memory (ReRAM) is a classic type of non-volatile random-access memory, which is very suitable for implementing PIM architectures. However, existing ReRAM-based accelerators mainly consider to improve the calculation efficiency, but ignore the f...

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关键词

Energy consumption,Convolution,Nonvolatile memory,Energy resources,Digital-analog conversion,Resistive RAM,Neural networks

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