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


Aslan B., Yılmazer Metin A.

7th International Conference on Computer Science and Engineering, UBMK 2022, Diyarbakır, Turkey, 14 - 16 September 2022, pp.479-484 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk55850.2022.9919522
  • City: Diyarbakır
  • Country: Turkey
  • Page Numbers: pp.479-484
  • Keywords: dynamic power, edge devices, energy calculation, experimentation, internal power sensor, power monitoring, power profiling
  • Istanbul Technical University Affiliated: Yes

Abstract

© 2022 IEEE.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.