Optimizing energy efficiency of CNN-based object detection with dynamic voltage and frequency scaling
On the one hand, accelerating convolution neural networks (CNNs) on FPGAs requires ever increasing high energy efficiency in the edge computing paradigm. On the other hand, unlike normal digital algorithms, CNNs maintain their high robustness even with limited timing errors. By taking advantage of t...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Chinese Institute of Electronics
2020
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/60946/ |