An Optimized Twofold LUT architecture for fast function approximation
The efficient approximation of elementary and activation functions is crucial for the deployment of machine learning algorithms and deep learning on resource-constrained hardware like FPGAs. The twofold lookup table (t-LUT) architecture effectively reduces resource usage by exploiting redundancy in...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2026-06-01
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| Collection: | Franklin Open |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2773186326000058 |
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