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Design challenges for near and sub-threshold operation: A case study with an ARM Cortex-M0+ based WSN subsystem

机译:近阈值操作的设计挑战:基于ARM Cortex-M0 + WSN子系统的案例研究

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Energy-efficient, low-cost wireless sensor nodes (WSN) will be a key component in enabling the Internet of Things. The main challenges for these nodes are energy efficiency, cost and ease of software development. At ARM Research, we investigate sub-threshold and near-threshold systems using a custom-built 65nm CMOS ARM Cortex-M0+ platform. This paper will present key challenges of implementing an ultra-low-voltage SoC, managing leakage and dynamic power, and scaling operating voltage from full voltage to sub-threshold operation. We will cover the design of custom voltage regulator and SRAM IP blocks and also consider a real-world ECG signal processing application.
机译:节能,低成本的无线传感器节点(WSN)将成为启用物联网的关键组件。这些节点的主要挑战是能效,成本和软件开发的易用性。在ARM研究中,我们使用定制的65nm CMOS ARM Cortex-M0 +平台调查次阈值和近阈值系统。本文将呈现实施超低压SOC,管理泄漏和动态功率的关键挑战,以及从全电压缩放到子阈值操作的缩放工作电压。我们将介绍定制电压调节器和SRAM IP块的设计,并考虑真实的ECG信号处理应用。

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