Empirical Evaluation on GPU, Overclocking, and LoRA for Deep Learning on Embedded Systems
The use and optimization of deep learning models for embedded systems and mobile devices present real-world challenges, such as limited computational resources, memory size, inference latency, and high-power consumption requirements. This study evaluated 14 models from nine popular deep learning arc...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11083617/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
