A Study on Power and Energy Measurement of NVIDIA Jetson Embedded GPUs Using Built-in Sensor

Büşra Aslan, Ayse Yilmazer-Metin
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引用次数: 3

Abstract

Artificial intelligence (AI) has been shifted to the embedded devices known as edge devices. Component-level power is very important for the design and optimization of applications on edge devices to estimate energy consumption. Thus, accurate power measurements are needed for battery-powered systems. However, it is not straightforward. Because the behavior of a GPU is rather complex and not well documented. In this work, we report challenges getting power measurements using the built-in power sensor for an NVIDIA Jetson GPU device. We provide a method for true power and energy measurements of the kernels running on NVIDIA Jetson family GPUs.
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基于内置传感器的NVIDIA Jetson嵌入式gpu功耗测量研究
人工智能(AI)已经转移到被称为边缘设备的嵌入式设备上。组件级功率对于边缘设备应用的设计和优化非常重要,可以用来估计能耗。因此,电池供电系统需要精确的功率测量。然而,这并不简单。因为GPU的行为相当复杂,而且没有很好的文档说明。在这项工作中,我们报告了使用NVIDIA Jetson GPU设备的内置功率传感器进行功率测量的挑战。我们提供了在NVIDIA Jetson系列gpu上运行的内核的真实功率和能量测量方法。
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