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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Autores principales: Wei-Kai Cheng, Xiang-Yi Liu, Hsin-Tzu Wu, Hsin-Yi Pai, Po-Yao Chung
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
CNN
Acceso en línea:https://doaj.org/article/9035f02ded064c9f92bef9c7cfe74fd1
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