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Accelerating Recurrent Neural Networks for Gravitational Wave Experiments


Jun 26, 2021
Zhiqiang Que, Erwei Wang, Umar Marikar, Eric Moreno, Jennifer Ngadiuba, Hamza Javed, Bartłomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y Cheung, Wayne Luk

* Accepted at the 2021 32nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) 

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Enabling Binary Neural Network Training on the Edge


Feb 10, 2021
Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides


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LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference


Oct 24, 2019
Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides

* arXiv admin note: substantial text overlap with arXiv:1904.00938 

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Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs


Oct 21, 2019
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter Y. K. Cheung, George Constantinides, Cheng-Zhong Xu

* To be published in International Conference on Field Programmable Technology 2019 

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LUTNet: Rethinking Inference in FPGA Soft Logic


Apr 01, 2019
Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides

* Accepted manuscript uploaded 01/04/19. DOA 03/03/19 

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Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going


Jan 21, 2019
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides


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