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LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors


Oct 11, 2022
Zhiqiang Que, Hongxiang Fan, Marcus Loo, Michaela Blott, Maurizio Pierini, Alexander D Tapper, Wayne Luk

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* 13 pages and 12 figures 

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Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design


Sep 20, 2022
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah

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* Paper accepted by MICRO'22 

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Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator


Nov 24, 2021
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk

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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

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

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High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks


Jun 04, 2021
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues

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* 9 pages. Martin Ferianc and Zhiqiang Que share an equal contribution 

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High-Performance FPGA-based Accelerator for Bayesian Neural Networks


May 12, 2021
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk

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* Design Automation Conference (DAC) 2021 

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An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks


Sep 06, 2020
Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk

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An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR


Sep 06, 2020
Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk

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Learning Absolute Sound Source Localisation With Limited Supervisions


Jan 28, 2020
Yang Chu, Wayne Luk, Dan Goodman

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