Sparse-PE: A Performance-Efficient Processing Engine Core for Sparse Convolutional Neural Networks
Sparse convolutional neural network (CNN) models reduce the massive compute and memory bandwidth requirements inherently present in dense CNNs without a significant loss in accuracy. Sparse CNNs, however, present their own set of challenges including non-linear data accesses and complex design of CN...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/cb34629c94244243822ec50d59d8eb02 |
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