SRAM-based compute-in-memory:status and challenges
The era of artificial intelligence(AI)has placed extremely high demands on the throughput and energy efficiency of AI hardware.Compute-in-memory technology is considered promising to address the"memory wall"bottleneck faced by conventional processors.It is a key technology and an important solution for significantly improving the effective throughput and energy efficiency of AI.Compute-in-memory technology has gained common recognition in the industry,with several industry giants starting research and industry in this field.Based on the 347th Shuang Qing Forum(Youth)of the National Natural Science Foundation of China,this paper summarizes the significant demands in the research of SRAM-based compute-in-memory chips.This study reviews the research status and development trends in recent years,distills the major key scientific problems and challenges,and further explores frontier research directions and funding strategies.
NETL
NSTL
万方数据
