Wayne Luk - researchr alias

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Viewing Publication 1 - 100 from 646

2024

High-Frequency Financial Market Simulation and Flash Crash Scenarios Analysis: An Agent-Based Modelling ApproachKang Gao, Perukrishnen Vytelingum, Stephen Weston, Wayne Luk, Ce Guo. jasss, 27(2), 2024. [doi]

Resource-Constraint Bayesian Optimization for Soft Processors on FPGAsCe Guo, Haoran Wu, Wayne Luk. HEART 2024: 27-36 [doi]

FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic ArmsCe Guo, Wayne Luk. tcasII, 71(3):1690-1694, March 2024. [doi]

Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan. isca 2024: 863-875 [doi]

PCQ: Parallel Compact Quantum Circuit SimulationShuang Liang, Yuncheng Lu, Ce Guo, Wayne Luk, Paul H. J. Kelly. fccm 2024: 24-31 [doi]

Design of Fully Spectral CNNs for Efficient FPGA-Based AccelerationShuanglong Liu, Hongxiang Fan, Wayne Luk. tnn, 35(6):8111-8123, June 2024. [doi]

RAW 2024 Invited Talk-1: Auto-Generating Diverse Heterogeneous DesignsWayne Luk. ipps 2024: 83 [doi]

Accelerating Large-Scale Graph Processing with FPGAs: Lesson Learned and Future DirectionsMarco Procaccini, Amin Sahebi, Marco Barbone, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi. hipeac 2024: [doi]

LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy PhysicsZhiqiang Que, Hongxiang Fan, Marcus Loo, He Li 0008, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk. tecs, 23(2), March 2024. [doi]

Low Latency Variational Autoencoder on FPGAsZhiqiang Que, Minghao Zhang, Hongxiang Fan, He Li 0008, Ce Guo, Wayne Luk. esticas, 14(2):323-333, June 2024. [doi]

Auto-Generating Diverse Heterogeneous DesignsJessica Vandebon, Jose G. F. Coutinho, Wayne Luk. ipps 2024: 116-123 [doi]

Accelerating MRI Uncertainty Estimation with Mask-Based Bayesian Neural NetworkZehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk. asap 2024: 107-115 [doi]

2023

Special Issue: "AI Acceleration on FPGAs"Yun Liang 0001, Wei Zhang 0012, Stephen Neuendorffer, Wayne Luk. tecs, 22(6), November 2023. [doi]

Exploring Machine Learning Adoption in Customisable Processor DesignJosé Gabriel F. Coutinho, Ce Guo, Tim Todman, Wayne Luk. asicon 2023: 1-4 [doi]

Customisable Processing of Neural Networks for FPGAsStewart Denholm, Wayne Luk. HEART 2023: 69-77 [doi]

When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGAHongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li 0008, Kenneth Long, Wayne Luk. dac 2023: 1-6 [doi]

High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating PointHongxiang Fan, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk. tnn, 34(8):4473-4487, August 2023. [doi]

Deeper Hedging: A New Agent-based Model for Effective Deep HedgingKang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid Stillman, Wayne Luk, Ce Guo. icaif 2023: 270-278 [doi]

Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social MediaAnna Gausen, Wayne Luk, Ce Guo. jdiq, 15(1), March 2023. [doi]

FPGA-Accelerated Causal Discovery with Conditional Independence Test PrioritizationCe Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes. fpl 2023: 182-188 [doi]

Co-Design of Algorithm and FPGA Accelerator for Conditional Independence TestCe Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes. asap 2023: 102-109 [doi]

Heterogeneous Reconfigurable Accelerators: Trends and PerspectivesWayne Luk. dac 2023: 1-2 [doi]

Efficiently Removing Sparsity for High-Throughput Stream ProcessingPhilippos Papaphilippou, Zhiqiang Que, Wayne Luk. fpt 2023: 244-249 [doi]

Experimental Survey of FPGA-Based Monolithic Switches and a Novel Queue BalancerPhilippos Papaphilippou, Kentaro Sano, Boma Anantasatya Adhi, Wayne Luk. tpds, 34(5):1621-1634, May 2023. [doi]

Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural NetworksZhiqiang Que, Hiroki Nakahara, Hongxiang Fan, He Li 0008, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk. trets, 16(1), March 2023. [doi]

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning AccelerationZhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk. fpl 2023: 248-252 [doi]

Distributed large-scale graph processing on FPGAsAmin Sahebi, Marco Barbone, Marco Procaccini, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi. jbd, 10(1):95, December 2023. [doi]

Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systemsMahyar Shahsavari, David B. Thomas, Marcel van Gerven, Andrew D. Brown, Wayne Luk. array, 20:100323, December 2023. [doi]

Extensible Embedded Hardware Description Languages with Compilation, Simulation and VerificationOmar Tahir, Wayne Luk, Nicolas Wu. HEART 2023: 1-10 [doi]

Event-based high throughput computing: A series of case studies on a massively parallel softcore machineMark Vousden, Jordan Morris, Graeme McLachlan Bragg, Jonathan Beaumont, Ashur Rafiev, Wayne Luk, David B. Thomas, Andrew D. Brown. iet-cdt, 17(1):29-42, January 2023. [doi]

2022

Non-deterministic event brokered computingAndrew Brown, Tim Todman, Wayne Luk, David B. Thomas, Mark Vousden, Graeme M. Bragg, Jonny Beaumont, Simon W. Moore, Alex Yakovlev, Ashur Rafiev. HEART 2022: 84-86 [doi]

A fully-customized dataflow engine for 3D earthquake simulation with a complex topographyBingwei Chen, Haohuan Fu, Wayne Luk, Guangwen Yang. chinaf, 65(5):1-16, 2022. [doi]

Maximising Parallel Memory Access for Low Latency FPGA DesignsStewart Denholm, Wayne Luk. iscas 2022: 1477-1481 [doi]

Mixed-Resource Parallel Processing on FPGAsStewart Denholm, Wayne Luk. fccm 2022: 1 [doi]

A Unified Approach for Managing Heterogeneous Processing Elements on FPGAsStewart Denholm, Wayne Luk. fpl 2022: 270-276 [doi]

Algorithm and Hardware Co-design for Reconfigurable CNN AcceleratorHongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk. aspdac 2022: 250-255 [doi]

Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizationsHongxiang Fan, Martin Ferianc, Wayne Luk. dac 2022: 325-330 [doi]

Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-designHongxiang Fan, Thomas Chau 0001, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah. micro 2022: 599-615 [doi]

Optimizing quantum circuit placement via machine learningHongxiang Fan, Ce Guo, Wayne Luk. dac 2022: 19-24 [doi]

Accelerating Bayesian Neural Networks via Algorithmic and Hardware OptimizationsHongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk. tpds, 33(12):3387-3399, 2022. [doi]

FPGA-Based Acceleration for Bayesian Convolutional Neural NetworksHongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk. tcad, 41(12):5343-5356, 2022. [doi]

Accelerating Constraint-Based Causal Discovery by Shifting Speed BottleneckCe Guo, Wayne Luk. fpga 2022: 169-179 [doi]

Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data AugmentationBowen P. Y. Kwan, Ce Guo, Wayne Luk, Peiyong Jiang. arc 2022: 150-165 [doi]

Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAsShuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk. tnn, 33(8):3974-3987, 2022. [doi]

FPGA-Based Backpropagation Engine for Feed-Forward Neural NetworksWayne Luk, Ce Guo. In Katharina Morik, Peter Marwedel, editors, Machine Learning under Resource Constraints - Volume 1: Fundamentals. De Gruyter STEM, pages 250-263, De Gruyter, 2022. [doi]

Hipernetch: High-Performance FPGA Network SwitchPhilippos Papaphilippou, Jiuxi Meng, Nadeen Gebara, Wayne Luk. trets, 15(1), 2022. [doi]

FLiMS: A Fast Lightweight 2-Way Merger for SortingPhilippos Papaphilippou, Wayne Luk, Chris Brooks. TC, 71(12):3215-3226, 2022. [doi]

Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAsZhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk. fpl 2022: 327-333 [doi]

Reconfigurable Acceleration of Graph Neural Networks for Jet Identification in Particle PhysicsZhiqiang Que, Marcus Loo, Wayne Luk. aicas 2022: 202-205 [doi]

Recurrent Neural Networks With Column-Wise Matrix-Vector Multiplication on FPGAsZhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Andrew Boutros, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk. tvlsi, 30(2):227-237, 2022. [doi]

Hardware-Aware Optimizations for Deep Learning Inference on Edge DevicesMarkus Rognlien, Zhiqiang Que, José Gabriel F. Coutinho, Wayne Luk. arc 2022: 118-133 [doi]

Custom Instructions for Networked Processor TemplatesTim Todman, Wayne Luk. tcasII, 69(7):3096-3100, 2022. [doi]

Meta-Programming Design-Flow Patterns for Automating Reusable OptimisationsJessica Vandebon, José Gabriel F. Coutinho, Wayne Luk. HEART 2022: 42-50 [doi]

Verifying Hardware Optimizations for Efficient AccelerationQianzhou Wang, Yat Wong, Zhiqiang Que, Wayne Luk. HEART 2022: 17-23 [doi]

Customizable FPGA-based Accelerator for Binarized Graph Neural NetworksZiwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan. iscas 2022: 1968-1972 [doi]

Accelerating Transformer Neural Networks on FPGAs for High Energy Physics ExperimentsFilip Wojcicki, Zhiqiang Que, Alexander D. Tapper, Wayne Luk. fpt 2022: 1-8 [doi]

POLSCA: Polyhedral High-Level Synthesis with Compiler TransformationsRuizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides. fpl 2022: 235-242 [doi]

2021

Efficient Table-Based Polynomial on FPGAMarco Barbone, Bas W. Kwaadgras, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev. iccd 2021: 374-382 [doi]

Efficient Online 4D Magnetic Resonance ImagingMarco Barbone, Andreas Wetscherek, Thomas Yung, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev. sbac-pad 2021: 177-187 [doi]

High-Performance FPGA-based Accelerator for Bayesian Neural NetworksHongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk. dac 2021: 1063-1068 [doi]

Optimizing Bayesian Recurrent Neural Networks on an FPGA-based AcceleratorMartin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues. fpt 2021: 1-10 [doi]

FPGA-accelerated Agent-Based Simulation for COVID-19Lei Fu, Ce Guo, Wayne Luk. aicas 2021: 1-4 [doi]

Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social MediaAnna Gausen, Wayne Luk, Ce Guo. icwsm 2021: [doi]

Performance-aware programming for intraoperative intensity-based image registration on graphics processing unitsMartin C. W. Leong, Kit-Hang Lee, Bowen P. Y. Kwan, Yui-Lun Ng, Zhiyu Liu, Nassir Navab, Wayne Luk, Ka Wai Kwok. cars, 16(3):375-386, 2021. [doi]

Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGAShuanglong Liu, Hongxiang Fan, Wayne Luk. date 2021: 1530-1535 [doi]

Reconfigurable Acceleration of Short Read Mapping with Biological ConsiderationHo-Cheung Ng, Izaak Coleman, Shuanglong Liu, Wayne Luk. fpga 2021: 229-239 [doi]

Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAsDaniel Holanda Noronha, Zhiqiang Que, Wayne Luk, Steven J. E. Wilton. fccm 2021: 20-28 [doi]

Efficient Queue-Balancing Switch for FPGAsPhilippos Papaphilippou, Kentaro Sano, Boma A. Adhi, Wayne Luk. fpt 2021: 1-5 [doi]

Demonstrating custom SIMD instruction development for a RISC-V softcorePhilippos Papaphilippou, Paul H. J. Kelly, Wayne Luk. fpl 2021: 139 [doi]

Simodense: a RISC-V softcore optimised for exploring custom SIMD instructionsPhilippos Papaphilippou, Paul H. J. Kelly, Wayne Luk. fpl 2021: 391-397 [doi]

Accelerating Recurrent Neural Networks for Gravitational Wave ExperimentsZhiqiang 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. asap 2021: 117-124 [doi]

In-circuit tuning of deep learning designsZhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk. jsa, 118:102198, 2021. [doi]

Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster ArchitectureMahyar Shahsavari, David B. Thomas, Andrew Brown, Wayne Luk. icons2 2021: [doi]

Systematically migrating an operational microphysics parameterisation to FPGA technologyJames Stanley Targett, Wayne Luk, Michael Lange 0001, Olivier Marsden. fccm 2021: 69-77 [doi]

Custom enhancements to networked processor templatesTim Todman, Wayne Luk. isvlsi 2021: 224-229 [doi]

Scheduling Hardware-Accelerated Cloud FunctionsJessica Vandebon, José Gabriel F. Coutinho, Wayne Luk. vlsisp, 93(12):1419-1431, 2021. [doi]

Enhancing High-Level Synthesis Using a Meta-Programming ApproachJessica Vandebon, José Gabriel de Figueiredo Coutinho, Wayne Luk, Eriko Nurvitadhi. TC, 70(12):2043-2055, 2021. [doi]

On Predictable Reconfigurable System DesignNils Voss, Bastiaan Kwaadgras, Oskar Mencer, Wayne Luk, Georgi Gaydadjiev. taco, 18(2), 2021. [doi]

Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow PlatformsRyota Yasudo, José Gabriel de Figueiredo Coutinho, Ana Lucia Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker, Ce Guo. trets, 14(3), 2021. [doi]

2020

Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture SearchHongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk. iccd 2020: 465-468 [doi]

Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural NetworksMartin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk. arc 2020: 3-13 [doi]

Quantisation-aware Dimensionality ReductionCe Guo, Wayne Luk. icfpt 2020: 237-240 [doi]

Accelerating Simulation for Agent-based Epidemic Models using FPGAsCe Guo, Wayne Luk, Stephen Weston. aiccsa 2020: 1-8 [doi]

Optimizing Fully Spectral Convolutional Neural Networks on FPGAShuanglong Liu, Wayne Luk. icfpt 2020: 39-47 [doi]

Fast and Accurate Training of Ensemble Models with FPGA-based SwitchJiuxi Meng, Ce Guo, Nadeen Gebara, Wayne Luk. asap 2020: 81-84 [doi]

R2CNN: Recurrent Residual Convolutional Neural Network on FPGAHiroki Nakahara, Zhiqiang Que, Akira Jinguji, Wayne Luk. fpga 2020: 319 [doi]

High-Throughput Convolutional Neural Network on an FPGA by Customized JPEG CompressionHiroki Nakahara, Zhiqiang Que, Wayne Luk. fccm 2020: 1-9 [doi]

Acceleration of Short Read Alignment with Runtime ReconfigurationHo-Cheung Ng, Shuanglong Liu, Izaak Coleman, Ringo S. W. Chu, Man-Chung Yue, Wayne Luk. icfpt 2020: 256-262 [doi]

High-Performance FPGA Network Switch ArchitecturePhilippos Papaphilippou, Jiuxi Meng, Wayne Luk. fpga 2020: 76-85 [doi]

An Adaptable High-Throughput FPGA Merge Sorter for Accelerating Database AnalyticsPhilippos Papaphilippou, Chris Brooks, Wayne Luk. fpl 2020: 65-72 [doi]

Optimizing Reconfigurable Recurrent Neural NetworksZhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Xinyu Niu, Wayne Luk. fccm 2020: 10-18 [doi]

Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning DesignsZhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk. icfpt 2020: 301 [doi]

A Reconfigurable Multithreaded Accelerator for Recurrent Neural NetworksZhiqiang Que, Hiroki Nakahara, Hongxiang Fan, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk. icfpt 2020: 20-28 [doi]

Mapping Large LSTMs to FPGAs with Weight ReuseZhiqiang Que, Yongxin Zhu 0001, Hongxiang Fan, Jiuxi Meng, Xinyu Niu, Wayne Luk. vlsisp, 92(9):965-979, 2020. [doi]

Exploring performance enhancement of event-driven processor networksTim Todman, David B. Thomas, Wayne Luk. icfpt 2020: 300 [doi]

SLATE: Managing Heterogeneous Cloud FunctionsJessica Vandebon, José Gabriel F. Coutinho, Wayne Luk, Eriko Nurvitadhi, Mishali Naik. asap 2020: 141-148 [doi]

Artisan: a Meta-Programming Approach For Codifying Optimisation StrategiesJessica Vandebon, José Gabriel F. Coutinho, Wayne Luk, Eriko Nurvitadhi, Tim Todman. fccm 2020: 177-185 [doi]

Performance Portable FPGA DesignNils Voss, Tobias Becker, Simon Tilbury, Georgi Gaydadjiev, Oskar Mencer, Anna Maria Nestorov, Enrico Reggiani, Wayne Luk. fpga 2020: 324 [doi]

On the challenges in programming mixed-precision deep neural networksRuizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi. PLDI 2020: 20-28 [doi]

Reducing Underflow in Mixed Precision Training by Gradient ScalingRuizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk. IJCAI 2020: 2922-2928 [doi]

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