Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective

2020 International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA)(2020)

引用 1|浏览315
暂无评分
摘要
The renaissance of artificial intelligence highlights the tremendous need for computational power as well as higher computing efficiency in both high performance computing and embedded applications. [1] To meet this demand, neuromorphic computing systems (NCS) that are inspired by the biological neural systems circumvent the von Neumann bottleneck by integrating computation and memory in the same place with reduced data traffic. The NCS can be efficiently implemented using emerging nonvolatile memories such as memristor crossbar arrays, which provide fast, analog matrix-vector multiplications (MVM). This paradigm is also called “in-memory computing” or “processing in memory”. [2]
更多
查看译文
关键词
Neuromorphic engineering,Memristor,Von Neumann architecture,Supercomputer,Crossbar switch,Artificial neural network,Computer architecture,Computer science,Electronic circuit,Computation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要