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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11083617/ |
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