A 6.4pJ/Cycle Self-Tuning Cortex-M0 IoT Processor Based on Leakage-Ratio Measurement for EnergyOptimal Operation Across Wide-Range PVT Variation

📋 论文概要

该论文提出了一种基于漏电比测量的自调节Cortex-M0 IoT处理器，通过动态电压缩放实现宽温度范围内的能量最优操作。该处理器在0.4V至1.2V电压范围内工作，每周期能耗仅为6.4pJ，解决了IoT设备在多变环境下的低功耗需求。

💡 主要创新点

• 提出漏电比测量技术，实时监测芯片漏电与动态电流比例，指导动态电压缩放至能量最优点。
• 集成自调节控制环路，无需外部干预即可在不同温度下自动调整工作电压，实现能量效率最大化。
• 采用Cortex-M0内核与定制化电源管理单元，在极低电压下保持计算能力，适用于能量受限的IoT应用。

🏷 关键词

📄 原文摘要

Mehdi Saligane1, Yejoong Kim1, Seokhyeon Jeong1, Jongyup Lim1, Makoto Yasuda2, Satoru Miyoshi3, Masaru Kawaminami2,3, David Blaauw1, Dennis Sylvester1 University of Michigan, Ann Arbor, MI Mie Fujitsu Semiconductor Limited, Kuwana, Japan 3 Fujitsu Electronics America, Inc., Sunnyvale, CA 1 2 Wireless sensors for IoT applications have become a prominent computing class and are typically severely power constrained. IoT devices are deployed in a wide range of environments and low power consumption must be guaranteed across a wide temperature range. The combination of dynamic voltage scaling (DVS) and adaptive body biasing (ABB) can achieve minimum total energy per cycle, where dynamic and leakage energy are at an optimal trade-off point [1]. However, due to the dependence of leakage on temperature and workload fluctuations over time, this optimal operating point requires runtime adjustment. Traditional approaches to track

👥 作者与机构

Jeongsup Lee1, Yiqun Zhang1, Qing Dong1, Wooteak Lim1,