Efficient Cache Strategy for Face Recognition System
Guoxiao Zong, Qingbao Li, Ping Zhang, Guimin Zhang, Xinbing Zhu · 2020
Recently, the need for real-time deep learning applications, such as face recognition system, implement on the embedded devices is increasing. At the system level, caching system is one of the most effective ways to reduce response time. However, embedded front-end devices can hardly guarantee effective system overhead for complex cache system while deploying deep learning model. In this paper, this paper presented an efficient cache strategy for deep learning applications such as face recognition system. This paper first established a distributed embedded system model to describe to functions of the face recognition systems. Then, this paper figures out the goal and idea of optimizing the cache design theoretically. Finally, our cache strategy is experimented and verified better than the traditional methods.