Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning.
IEEE Micro(2019)
摘要
Resistive RAM (RRAM) has been presented as a promising memory technology toward deep neural network (DNN) hardware design, with nonvolatility, high density, high ON/OFF ratio, and compatibility with logic process. However, prior RRAM works for DNNs have shown limitations on parallelism for in-memory computing, array efficiency with large peripheral circuits, multilevel analog operation, and demons...
更多查看译文
关键词
Deep learning,Random access memory,Integrated circuits,Optimization,CMOS integrated circuits
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络