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JSSC 2023第6期RF & Wireless

SamurAI A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Accelerat

SamurAI是一款多功能物联网节点,结合低功耗事件驱动和嵌入式ML加速,满足多样化能耗和处理需求。
1.7-MOPS, 207-ns wake-up
物联网节点事件驱动机器学习加速低功耗多功能设计
创新点1:低功耗无时钟事件驱动唤醒控制器(WuC)采用异步电路设计,实现207纳秒快速唤醒和1.7 MOPS处理能力,显著降低待机功耗(系统创新)
创新点2:高效按需处理子系统(OD)集成ML加速器,通过动态电压频率调节(DVFS)技术实现能效比优化,支持图像分类等复杂任务(电路创新)
创新点3:双模式架构创新(AR+OD)通过硬件任务分区满足多样化需求,AR处理事件触发任务(1μW级功耗),OD处理计算密集型任务(方法创新)
创新点4:嵌入式ML加速器采用稀疏化计算和权重压缩技术,在IoT节点本地实现高能效比的数据处理,减少云端传输需求(电路创新)
Abstract
Increased capabilities, such as recognition and self- adaptability, are now required from Internet-of-Things (IoT) applications. While IoT node power consumption is a major con- cern for these applications, cloud-based processing is becoming unsustainable due to continuous sensor or image data transmis- sion over the wireless network. Thus, optimized ML capabilities and data transfers should be integrated into the IoT node. More- over, IoT applications are torn between sporadic data-logging and