A Survey of Computing-in-Memory Processor: From Circuit to Application
Wenyu Sun, Jinshan Yue, Yifan He, Zongle Huang, Jingyu Wang, Wenbin Jia, Yaolei Li, Luchang Lei, Hongyang Jia, Yongpan Liu
Abstract
The computing-in-memory (CIM) technique is emerging with the evolvement of big data and artificial intelligence (AI) application. The manuscript presents a systematic review of existing CIM works in a bottom-up view from circuit to application. Various types of CIM circuits based on different volatile/non-volatile devices are introduced. The micro CIM architectures are illustrated to support multi-bit precision computation. After that, several types of processor-level CIM chips are analyzed to reveal the system architecture design considerations. The corresponding CIM tool chains and applications beyond AI applications are also introduced. From circuit to application levels, this manuscript analyzes the design trade-offs, remained challenges and possible future design trends at different design hierarchies of CIM processors.