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ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.

S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin, Z. Fang, и Y. Wang. DATE, стр. 1-6. IEEE, (2023)

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Fang-Fang Tang

Fang Chen

Xing Fang

Weigui Fang

Xiangfan Fang

Другие публикации лиц с тем же именем

Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks.C. Zhang, Z. Fang, P. Zhou, P. Pan, и J. Cong. ICCAD, стр. 12:1-12:8. ACM, (2016)LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs.B. Ghavami, S. Ebrahimi, Z. Fang, и L. Shannon. FPGA, стр. 146. ACM, (2021)HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.P. Dong, M. Sun, A. Lu, Y. Xie, K. Liu, Z. Kong, X. Meng, Z. Li, X. Lin, Z. Fang и 1 other автор(ы). HPCA, стр. 442-455. IEEE, (2023)Supporting Address Translation for Accelerator-Centric Architectures.Y. Hao, Z. Fang, G. Reinman, и J. Cong. HPCA, стр. 37-48. IEEE Computer Society, (2017)Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation.H. Fu, F. Liang, J. Liang, Y. Wang, Z. Fang, G. Zhang, и J. Han. IEEE Trans. Image Process., (2024)A quantitative analysis on microarchitectures of modern CPU-FPGA platforms.Y. kyu Choi, J. Cong, Z. Fang, Y. Hao, G. Reinman, и P. Wei. DAC, стр. 109:1-109:6. ACM, (2016)HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks.G. Yang, J. Lei, Z. Fang, Y. Li, J. Zhang, и W. Xie. FCCM, стр. 203. IEEE, (2023)Measuring Microarchitectural Details of Multi- and Many-Core Memory Systems through Microbenchmarking.Z. Fang, S. Mehta, P. Yew, A. Zhai, J. Greensky, G. Beeraka, и B. Zang. ACM Trans. Archit. Code Optim., 11 (4): 55:1-55:26 (2014)Journal Track Paper ICFPT 2023 : HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks.G. Yang, J. Lei, Z. Fang, Y. Li, J. Zhang, и W. Xie. ICFPT, стр. 3-4. IEEE, (2023)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin и 2 other автор(ы). DAC, стр. 1396-1397. ACM, (2022)

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Please choose a person to relate this publication to

Fang-Fang Tang

Fang Chen

Xing Fang

Weigui Fang

Xiangfan Fang

Другие публикации лиц с тем же именем

Disambiguation