Energy-Efficient Architecture for CNNs Inference on Heterogeneous FPGA
Due to the huge requirements in terms of both computational and memory capabilities, implementing energy-efficient and high-performance Convolutional Neural Networks (CNNs) by exploiting embedded systems still represents a major challenge for hardware designers. This paper presents the complete desi...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2019-12-01
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| Серія: | Journal of Low Power Electronics and Applications |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2079-9268/10/1/1 |
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