Wayne Luk

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 218

Top Venues

Publications

Ebby Samson, Naveen Mellempudi, Wayne Luk, George A. Constantinides
Exploring FPGA designs for MX and beyond. CoRR (2024)
Zhiqiang Que, Minghao Zhang, Hongxiang Fan, He Li, Ce Guo, Wayne Luk
Low Latency Variational Autoencoder on FPGAs. IEEE J. Emerg. Sel. Topics Circuits Syst. 14 (2) (2024)
Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network. CoRR (2024)
Wayne Luk
RAW 2024 Invited Talk-1: Auto-Generating Diverse Heterogeneous Designs. IPDPS (Workshops) (2024)
Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. CoRR (2024)
Shuanglong Liu, Hongxiang Fan, Wayne Luk
Design of Fully Spectral CNNs for Efficient FPGA-Based Acceleration. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Kang Gao, Perukrishnen Vytelingum, Stephen Weston, Wayne Luk, Ce Guo
High-Frequency Financial Market Simulation and Flash Crash Scenarios Analysis: An Agent-Based Modelling Approach. J. Artif. Soc. Soc. Simul. 27 (2) (2024)
Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. CoRR (2024)
Ce Guo, Haoran Wu, Wayne Luk
Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs. HEART (2024)
Ce Guo, Wayne Luk
FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Marco Procaccini, Amin Sahebi, Marco Barbone, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi
Accelerating Large-Scale Graph Processing with FPGAs: Lesson Learned and Future Directions. PARMA-DITAM (2024)
Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA. CoRR (2024)
Patrick Odagiu, Zhiqiang Que, Javier M. Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander D. Tapper, Thea Klæboe Årrestad
Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC. CoRR (2024)
Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan
Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. ISCA (2024)
Zhiqiang Que, Hongxiang Fan, Marcus Loo, He Li, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. ACM Trans. Embed. Comput. Syst. 23 (2) (2024)
Jessica Vandebon, Jose G. F. Coutinho, Wayne Luk
Auto-Generating Diverse Heterogeneous Designs. IPDPS (Workshops) (2024)
Philippos Papaphilippou, Wayne Luk
Efficient Adaptable Streaming Aggregation Engine. CoRR (2024)
Philippos Papaphilippou, Kentaro Sano, Boma Anantasatya Adhi, Wayne Luk
Experimental Survey of FPGA-Based Monolithic Switches and a Novel Queue Balancer. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Wayne Luk
Heterogeneous Reconfigurable Accelerators: Trends and Perspectives. DAC (2023)
Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. DAC (2023)
Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. FPL (2023)
Omar Tahir, Wayne Luk, Nicolas Wu
Extensible Embedded Hardware Description Languages with Compilation, Simulation and Verification. HEART (2023)
Philippos Papaphilippou, Zhiqiang Que, Wayne Luk
Efficiently Removing Sparsity for High-Throughput Stream Processing. ICFPT (2023)
Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. CoRR (2023)
Ce Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes
Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test. ASAP (2023)
Mark Vousden, Jordan Morris, Graeme McLachlan Bragg, Jonathan Beaumont, Ashur Rafiev, Wayne Luk, David B. Thomas, Andrew D. Brown
Event-based high throughput computing: A series of case studies on a massively parallel softcore machine. IET Comput. Digit. Tech. 17 (1) (2023)
Yun Liang, Wei Zhang, Stephen Neuendorffer, Wayne Luk
Special Issue: "AI Acceleration on FPGAs". ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Kang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid Stillman, Wayne Luk, Ce Guo
Deeper Hedging: A New Agent-based Model for Effective Deep Hedging. ICAIF (2023)
Hongxiang Fan, Hao Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. CoRR (2023)
Mahyar Shahsavari, David B. Thomas, Marcel van Gerven, Andrew D. Brown, Wayne Luk
Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems. Array 20 (2023)
Anna Gausen, Wayne Luk, Ce Guo
Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media. ACM J. Data Inf. Qual. 15 (1) (2023)
Hongxiang Fan, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating Point. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Amin Sahebi, Marco Barbone, Marco Procaccini, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi
Distributed large-scale graph processing on FPGAs. J. Big Data 10 (1) (2023)
Stewart Denholm, Wayne Luk
Customisable Processing of Neural Networks for FPGAs. HEART (2023)
Zhiqiang Que, Hiroki Nakahara, Hongxiang Fan, He Li, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk
Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 16 (1) (2023)
Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes
FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. FPL (2023)
José Gabriel F. Coutinho, Ce Guo, Tim Todman, Wayne Luk
Exploring Machine Learning Adoption in Customisable Processor Design. ASICON (2023)
Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Andrew Boutros, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk
Recurrent Neural Networks With Column-Wise Matrix-Vector Multiplication on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 30 (2) (2022)
Filip Wojcicki, Zhiqiang Que, Alexander D. Tapper, Wayne Luk
Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments. FPT (2022)
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR (2022)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. ASP-DAC (2022)
Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides
POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. FPL (2022)
Bowen P. Y. Kwan, Ce Guo, Wayne Luk, Peiyong Jiang
Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation. ARC (2022)
Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk
Meta-Programming Design-Flow Patterns for Automating Reusable Optimisations. HEART (2022)
Bingwei Chen, Haohuan Fu, Wayne Luk, Guangwen Yang
A fully-customized dataflow engine for 3D earthquake simulation with a complex topography. Sci. China Inf. Sci. 65 (5) (2022)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Philippos Papaphilippou, Wayne Luk, Chris Brooks
FLiMS: A Fast Lightweight 2-Way Merger for Sorting. IEEE Trans. Computers 71 (12) (2022)
Stewart Denholm, Wayne Luk
Maximising Parallel Memory Access for Low Latency FPGA Designs. ISCAS (2022)
Tim Todman, Wayne Luk
Custom Instructions for Networked Processor Templates. IEEE Trans. Circuits Syst. II Express Briefs 69 (7) (2022)
Stewart Denholm, Wayne Luk
A Unified Approach for Managing Heterogeneous Processing Elements on FPGAs. FPL (2022)
Zhiqiang Que, Marcus Loo, Wayne Luk
Reconfigurable Acceleration of Graph Neural Networks for Jet Identification in Particle Physics. AICAS (2022)
Hongxiang Fan, Martin Ferianc, Wayne Luk
Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. DAC (2022)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Zhiqiang Que, Marcus Loo, Hongxiang Fan, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors. CoRR (2022)
Andrew Brown, Tim Todman, Wayne Luk, David B. Thomas, Mark Vousden, Graeme M. Bragg, Jonny Beaumont, Simon W. Moore, Alex Yakovlev, Ashur Rafiev
Non-deterministic event brokered computing. HEART (2022)
Stewart Denholm, Wayne Luk
Mixed-Resource Parallel Processing on FPGAs. FCCM (2022)
Ce Guo, Wayne Luk
Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck. FPGA (2022)
Qianzhou Wang, Yat Wong, Zhiqiang Que, Wayne Luk
Verifying Hardware Optimizations for Efficient Acceleration. HEART (2022)
Ziwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan
Customizable FPGA-based Accelerator for Binarized Graph Neural Networks. ISCAS (2022)
Markus Rognlien, Zhiqiang Que, José Gabriel F. Coutinho, Wayne Luk
Hardware-Aware Optimizations for Deep Learning Inference on Edge Devices. ARC (2022)
Zhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs. FPL (2022)
Hongxiang Fan, Ce Guo, Wayne Luk
Optimizing quantum circuit placement via machine learning. DAC (2022)
Philippos Papaphilippou, Jiuxi Meng, Nadeen Gebara, Wayne Luk
Hipernetch: High-Performance FPGA Network Switch. ACM Trans. Reconfigurable Technol. Syst. 15 (1) (2022)
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO (2022)
Martin C. W. Leong, Kit-Hang Lee, Bowen P. Y. Kwan, Yui-Lun Ng, Zhiyu Liu, Nassir Navab, Wayne Luk, Ka-Wai Kwok
Performance-aware programming for intraoperative intensity-based image registration on graphics processing units. Int. J. Comput. Assist. Radiol. Surg. 16 (3) (2021)
Anna Gausen, Wayne Luk, Ce Guo
Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media. ICWSM Workshops (2021)
Mahyar Shahsavari, David B. Thomas, Andrew Brown, Wayne Luk
Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster Architecture. ICONS (2021)
Philippos Papaphilippou, Wayne Luk, Chris Brooks
FLiMS: a Fast Lightweight 2-way Merge Sorter. CoRR (2021)
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC (2021)
Lei Fu, Ce Guo, Wayne Luk
FPGA-accelerated Agent-Based Simulation for COVID-19. AICAS (2021)
Shuanglong Liu, Hongxiang Fan, Wayne Luk
Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA. DATE (2021)
Marco Barbone, Bas W. Kwaadgras, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev
Efficient Table-Based Polynomial on FPGA. ICCD (2021)
James Stanley Targett, Wayne Luk, Michael Lange, Olivier Marsden
Systematically migrating an operational microphysics parameterisation to FPGA technology. FCCM (2021)
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT (2021)
Nils Voss, Bastiaan Kwaadgras, Oskar Mencer, Wayne Luk, Georgi Gaydadjiev
On Predictable Reconfigurable System Design. ACM Trans. Archit. Code Optim. 18 (2) (2021)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
In-circuit tuning of deep learning designs. J. Syst. Archit. 118 (2021)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. CoRR (2021)
Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk
Demonstrating custom SIMD instruction development for a RISC-V softcore. FPL (2021)
Jessica Vandebon, José Gabriel de Figueiredo Coutinho, Wayne Luk, Eriko Nurvitadhi
Enhancing High-Level Synthesis Using a Meta-Programming Approach. IEEE Trans. Computers 70 (12) (2021)
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR (2021)
Zhiqiang Que, Erwei Wang, Umar Marikar, Eric A. Moreno, Jennifer Ngadiuba, Hamza Javed, Bartlomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y. K. Cheung, Wayne Luk
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. ASAP (2021)
Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk
Simodense: a RISC-V softcore optimised for exploring custom SIMD instructions. FPL (2021)
Ryota Yasudo, José Gabriel de Figueiredo Coutinho, Ana Lucia Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker, Ce Guo
Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow Platforms. ACM Trans. Reconfigurable Technol. Syst. 14 (3) (2021)
Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk
Scheduling Hardware-Accelerated Cloud Functions. J. Signal Process. Syst. 93 (12) (2021)
Zhiqiang Que, Erwei Wang, Umar Marikar, Eric A. Moreno, Jennifer Ngadiuba, Hamza Javed, Bartlomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y. K. Cheung, Wayne Luk
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. CoRR (2021)
Philippos Papaphilippou, Kentaro Sano, Boma A. Adhi, Wayne Luk
Efficient Queue-Balancing Switch for FPGAs. FPT (2021)
Tim Todman, Wayne Luk
Custom enhancements to networked processor templates. ISVLSI (2021)
Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk
Extending the RISC-V ISA for exploring advanced reconfigurable SIMD instructions. CoRR (2021)
Daniel Holanda Noronha, Zhiqiang Que, Wayne Luk, Steven J. E. Wilton
Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs. FCCM (2021)
Marco Barbone, Andreas Wetscherek, Thomas Yung, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev
Efficient Online 4D Magnetic Resonance Imaging. SBAC-PAD (2021)
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR (2021)
Ho-Cheung Ng, Izaak Coleman, Shuanglong Liu, Wayne Luk
Reconfigurable Acceleration of Short Read Mapping with Biological Consideration. FPGA (2021)
Nils Voss, Peter Ziegenhein, Lukas Vermond, Joost Hoozemans, Oskar Mencer, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev
Towards Real Time Radiotherapy Simulation. J. Signal Process. Syst. 92 (9) (2020)
Ho-Cheung Ng, Shuanglong Liu, Izaak Coleman, Ringo S. W. Chu, Man-Chung Yue, Wayne Luk
Acceleration of Short Read Alignment with Runtime Reconfiguration. FPT (2020)
Izaak Coleman, Giacomo Corleone, James Arram, Ho-Cheung Ng, Luca Magnani, Wayne Luk
GeDi: applying suffix arrays to increase the repertoire of detectable SNVs in tumour genomes. BMC Bioinform. 21 (1) (2020)
Ce Guo, Wayne Luk
Quantisation-aware Dimensionality Reduction. FPT (2020)
Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk, Eriko Nurvitadhi, Tim Todman
Artisan: a Meta-Programming Approach For Codifying Optimisation Strategies. FCCM (2020)
Lin Gan, Ming Yuan, Jinzhe Yang, Wenlai Zhao, Wayne Luk, Guangwen Yang
High performance reconfigurable computing for numerical simulation and deep learning. CCF Trans. High Perform. Comput. 2 (2) (2020)
Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi
On the challenges in programming mixed-precision deep neural networks. MAPL@PLDI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wayne Luk