Pengfei Xu

18 papers A* 4A 1C 1Misc 1Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yongan Zhang, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin
2023 J jnl
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.
IEEE Trans. Neural Networks Learn. Syst.
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
2021 J jnl
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.
CoRR
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
2020 A conf
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs.
FPGA
Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
2020 J jnl
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs.
CoRR
Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
2020 Misc conf
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures.
ICASSP
Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin
2020 J jnl
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures.
CoRR
Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin
2020 A* conf
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.
ICLR
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2020 J jnl
Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.
IEEE J. Sel. Top. Signal Process.
Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2020 A* conf
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference.
AAAI
Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2020 J jnl
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference.
CoRR
Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin
2020 J jnl
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain.
CoRR
Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin
2020 A* conf
Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain.
ISCA
Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin
2019 J jnl
Drawing early-bird tickets: Towards more efficient training of deep networks.
CoRR
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk
2019 J jnl
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference.
CoRR
Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2019 J jnl
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.
CoRR
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
2019 A* conf
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings.
NeurIPS
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
2019 C conf
Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means.
ISCAS
Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin