⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一种可扩展的大规模并行处理器，用于实时图像处理，旨在满足智能手机、汽车信息系统和监控摄像头等应用对高能效和高温操作的需求。
Takayuki Gyoten1, Tetsu Nishijima1, Hiroyuki Yamasaki1, Yuta Imai2, Masakatsu Ishizaki1, Takeshi Kumaki2, Yoshihiro Okuno1, Tetsushi Koide2, Hans Jürgen Mattausch2, Kazutami Arimoto1 1 Renesas Technology, Itami, Japan Hiroshima University, Higashi-Hiroshima, Japan 2 Today’s real-time image-processing technology has become a requirement for cellular smartphones, car information systems, and surveillance cameras. An image processor integrated into SoC devices for these applications requires high power efficiency for long battery life and high-temperature operation. In addition, the image processor must minimize silicon area for lower cost and be scalable for processing performance. Our previous work on a matrix processor (MTX) [1] achieves both high power and high area efficiency. Demand for higher resolution, advanced frame rates, and increased algorithm complexity is requiring image processors to scale upwards in performance. Our next-generation MX-2 core is developed by expanding proc
Takashi Kurafuji1, Masaru Haraguchi1, Masami Nakajima1,