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F-CNN: An FPGA-based framework for training Convolutional Neural Networks.

W. Zhao, H. Fu, W. Luk, T. Yu, S. Wang, B. Feng, Y. Ma, и G. Yang. ASAP, стр. 107-114. IEEE Computer Society, (2016)

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Zhao Zhao

Yanning Zhao

Hertz-level ultra-stable laser and its application to high precision spectroscopyY. Zhao. Uni Erlangen-Nürnberg, (2009)

Xiaojian Zhao

Su Zhao

Bingbing Zhao

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Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model.K. Wang, S. Xu, H. Fu, H. Yu, W. Zhao, и G. Yang. ICS, стр. 13-23. ACM, (2019)Relation-oriented resource allocation for multi-accelerator systems.T. Yu, B. Feng, M. Stillwell, J. Coutinho, W. Zhao, S. Liang, W. Luk, A. Wolf, и Y. Ma. ASAP, стр. 243-244. IEEE Computer Society, (2016)Generalized GPU Acceleration for Applications Employing Finite-Volume Methods.J. Xu, H. Fu, L. Gan, C. Yang, W. Xue, S. Xu, W. Zhao, X. Wang, B. Chen, и G. Yang. CCGrid, стр. 126-135. IEEE Computer Society, (2016)Optimizing Residue Number Reverse Converters through Bitwise Arithmetic on FPGAs.B. Liu, H. Fu, L. Gan, W. Zhao, и G. Yang. FCCM, стр. 236-243. IEEE Computer Society, (2015)NAMSG: An Efficient Method For Training Neural Networks.Y. Chen, H. Jing, W. Zhao, Z. Liu, L. Qiao, W. Xue, H. Fu, и G. Yang. CoRR, (2019)Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver.H. Fu, J. Xu, L. Gan, C. Yang, W. Xue, W. Zhao, W. Shi, X. Wang, и G. Yang. ASAP, стр. 41-49. IEEE Computer Society, (2016)A Joint Time-Frequency Domain Transformer for multivariate time series forecasting.Y. Chen, S. Liu, J. Yang, H. Jing, W. Zhao, и G. Yang. Neural Networks, (2024)High performance reconfigurable computing for numerical simulation and deep learning.L. Gan, M. Yuan, J. Yang, W. Zhao, W. Luk, и G. Yang. CCF Trans. High Perform. Comput., 2 (2): 196-208 (2020)F-CNN: An FPGA-based framework for training Convolutional Neural Networks.W. Zhao, H. Fu, W. Luk, T. Yu, S. Wang, B. Feng, Y. Ma, и G. Yang. ASAP, стр. 107-114. IEEE Computer Society, (2016)A Fully-Pipelined FPGA Design for Tree-Reweighted Message Passing Algorithm.W. Zhao, H. Fu, и G. Yang. FCCM, стр. 177. IEEE Computer Society, (2014)

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