⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一款用于图像识别应用的异构多核SoC，实现了464GOPS的性能和620GOPS/W的能效，解决了实时多目标识别和高能效需求的矛盾。
popular recently in a variety of industries such as automotive, surveillance, and others. SoCs for such image recognition applications are required to be powerful enough to support real-time multiple object recognition, with power consumption not exceeding a few Watts. Adaptability to a range of applications is also desirable. In this context, massively parallel processors [1] and heterogeneous many-core processors [2] with 200GOPS have been proposed. However, rising demands for simultaneous execution of multiple applications leads to even higher performance requirements. In advanced driver-assistance systems for automotive, for example, forward collision warning and traffic sign recognition should execute simultaneously to improve safety of the system. In addition, the accuracy of
Yasuki Tanabe, Masato Sumiyoshi, Manabu Nishiyama, Itaru Yamazaki,
Shinsuke Fujii, Katsuyuki Kimura, Takuma Aoyama, Moriyasu Banno, Hiroo Hayashi, Takashi Miyamori Toshiba, Kawasaki, Japan The use of image recognition technologies is becoming more