Özet
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.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | Proceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 479-484 |
| Sayfa sayısı | 6 |
| ISBN (Elektronik) | 9781665470100 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2022 |
| Etkinlik | 7th International Conference on Computer Science and Engineering, UBMK 2022 - Diyarbakir, Turkey Süre: 14 Eyl 2022 → 16 Eyl 2022 |
Yayın serisi
| Adı | Proceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022 |
|---|
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| ???event.eventtypes.event.conference??? | 7th International Conference on Computer Science and Engineering, UBMK 2022 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Diyarbakir |
| Periyot | 14/09/22 → 16/09/22 |
Bibliyografik not
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