⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一款基于3nm工艺的12位数字计算存储（CIM）神经引擎NVE，用于智能设备的高分辨率视觉质量增强。该设计实现了23.2TOPS/W的高能效，解决了移动设备上视频增强的实时处理与功耗平衡问题。
Pei-Kuei Tsung1, En-Jui Chang1, Jenwei Liang1, Shu-Hsin Chang1, Chung-Lun Huang1, You-Yu Nian1, Zhe Wan2, Sushil Kumar2, Cheng-Xin Xue1, Gajanan Jedhe2, Hidehiro Fujiwara3, Haruki Mori3, Chih-Wei Chen1, Po-Hua Huang1, Chih-Feng Juan1, Chung-Yi Chen1, Tsung-Yao Lin1, CH Wang1, Chih-Cheng Chen1, Kevin Jou1 MediaTek, Hsinchu, Taiwan MediaTek, San Jose, CA 3 TSMC, Hsinchu, Taiwan *Equally Credited Authors (ECAs) 1 2 Enhancing video quality is critical for achieving a boosted user experience on smart devices including mobiles, televisions, and monitors. Practical hardware designs should deliver high performance with minimal resources under the stringent limitations related to bandwidth, area and energy budget. The widespread usage of deep-learning algorithms in image processing tasks, including super-resolution (SR) and noise-reduction (NR), has further emphasized the necessity for energy-efficient hardware solutions. Therefore,
Ming-En Shih*1, Shih-Wei Hsieh*1, Ping-Yuan Tsai*1, Ming-Hung Lin1,