"WRA: A 2.2-to-6.3 TOPS Highly Unified Dynamically Reconfigurable ..."

Chen Yang et al. (2019)

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DOI: 10.1109/TCSI.2019.2928682

access: closed

type: Journal Article

metadata version: 2020-05-22

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Chen Yang, Yizhou Wang, Xiaoli Wang, Li Geng:
WRA: A 2.2-to-6.3 TOPS Highly Unified Dynamically Reconfigurable Accelerator Using a Novel Winograd Decomposition Algorithm for Convolutional Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(9): 3480-3493 (2019)

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