FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture

28 Jan 2019Yu JiYouyang ZhangXinfeng XieShuangchen LiPeiqi WangXing HuYouhui ZhangYuan Xie

Neural Network (NN) accelerators with emerging ReRAM (resistive random access memory) technologies have been investigated as one of the promising solutions to address the \textit{memory wall} challenge, due to the unique capability of \textit{processing-in-memory} within ReRAM-crossbar-based processing elements (PEs). However, the high efficiency and high density advantages of ReRAM have not been fully utilized due to the huge communication demands among PEs and the overhead of peripheral circuits... (read more)

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