Reconfigurable Architecture and Dataflow for Memory Traffic Minimization of CNNs Computation
Computation of convolutional neural network (CNN) requires a significant amount of memory access, which leads to lots of energy consumption. As the increase of neural network scale, this phenomenon is further obvious, the energy consumption of memory access and data migration between on-chip buffer...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/9035f02ded064c9f92bef9c7cfe74fd1 |
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