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 language | English |
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| Title of host publication | Proceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 479-484 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665470100 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 7th International Conference on Computer Science and Engineering, UBMK 2022 - Diyarbakir, Turkey Duration: 14 Sept 2022 → 16 Sept 2022 |
Publication series
| Name | Proceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022 |
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Conference
| Conference | 7th International Conference on Computer Science and Engineering, UBMK 2022 |
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| Country/Territory | Turkey |
| City | Diyarbakir |
| Period | 14/09/22 → 16/09/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- dynamic power
- edge devices
- energy calculation
- experimentation
- internal power sensor
- power monitoring
- power profiling