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JSSC 2020第1期Other65nm

A 65-nm 8-to-3-b 10-036-V 91-11-TOPS-W Hybrid-Digital-Mixed-Signal Computing Pla

提出一种65nm混合数字模拟信号计算平台,支持群机器人算法,能效随数据路径分辨率可调。
65nm CMOS, 峰值能效9.1 TOPS/W(3b)至1.1 TOPS/W(8b)
低功耗边缘智能群机器人混合数字模拟信号能效可调65nm CMOS
支持群机器人算法的混合数字模拟信号计算平台
能效随数据路径分辨率及群规模可调
同时支持基于物理模型和学习的算法
Abstract
Low-power edge-intelligence is leading to spectac- ular advances in smart sensors, actuators, and human–machine interfaces. In particular, energy efficiency is driving key advances in robotics, where low-power computation is augmented with smart control and mechanical systems to enable small-sized and intelligent drones, unmanned aerial vehicles (UA Vs), micro-sized cars, and so on with applications in surveillance, disaster relief, and reconnaissance. Furthermore, for a variety of tasks, swarms