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

Busra Aslan, Ayse Yilmazer-Metin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages479-484
Number of pages6
ISBN (Electronic)9781665470100
DOIs
Publication statusPublished - 2022
Event7th International Conference on Computer Science and Engineering, UBMK 2022 - Diyarbakir, Turkey
Duration: 14 Sept 202216 Sept 2022

Publication series

NameProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022

Conference

Conference7th International Conference on Computer Science and Engineering, UBMK 2022
Country/TerritoryTurkey
CityDiyarbakir
Period14/09/2216/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • dynamic power
  • edge devices
  • energy calculation
  • experimentation
  • internal power sensor
  • power monitoring
  • power profiling

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