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ORCIDWayne Luk
Wayne W. C. Luk
Person information
- affiliation: Imperial College London, UK
- affiliation: Oxford University, Computing Laboratory, UK
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2020 – today
- 2024
[j154]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): 323-333 (2024)- [j153]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) - [j152]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:
Ultrafast jet classification at the HL-LHC. Mach. Learn. Sci. Technol. 5(3): 35017 (2024) - [j151]Ce Guo, Wayne Luk:
FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1690-1694 (2024) - [j150]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): 17:1-17:28 (2024) - [j149]Shuanglong Liu, Hongxiang Fan, Wayne Luk:
Design of Fully Spectral CNNs for Efficient FPGA-Based Acceleration. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8111-8123 (2024) - [j148]Quan Deng, Qiang Liu, Ming Yuan, Xiaohui Duan, Lin Gan, Jinzhe Yang, Wenlai Zhao, Zhenxiang Zhang, Guiming Wu, Wayne Luk, Haohuan Fu, Guangwen Yang:
Acceleration of Multi-Body Molecular Dynamics With Customized Parallel Dataflow. IEEE Trans. Parallel Distributed Syst. 35(12): 2297-2314 (2024) - [c498]Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk:
Accelerating MRI Uncertainty Estimation with Mask-Based Bayesian Neural Network. ASAP 2024: 107-115 - [c497]Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk:
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. DAC 2024: 301:1-301:6 - [c496]Shuang Liang, Yuncheng Lu, Ce Guo, Wayne Luk, Paul H. J. Kelly:
PCQ: Parallel Compact Quantum Circuit Simulation. FCCM 2024: 24-31 - [c495]Ebby Samson, Naveen Mellempudi, Wayne Luk, George A. Constantinides:
Exploring FPGA designs for MX and beyond. FPL 2024: 304-310 - [c494]Ce Guo, Haoran Wu, Wayne Luk:
Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs. HEART 2024: 27-36 - [c493]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: 6:1-6:12 - [c492]Wayne Luk:
RAW 2024 Invited Talk-1: Auto-Generating Diverse Heterogeneous Designs. IPDPS (Workshops) 2024: 83 - [c491]Jessica Vandebon, Jose G. F. Coutinho, Wayne Luk:
Auto-Generating Diverse Heterogeneous Designs. IPDPS (Workshops) 2024: 116-123 - [c490]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: 863-875 - [c489]Qianzhou Wang, Zhiqiang Que, Wayne Luk:
Trustworthy Codesign by Verifiable Transformations. ITC-Asia 2024: 1-6 - [i32]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 abs/2402.01876 (2024) - [i31]Philippos Papaphilippou, Wayne Luk:
Efficient Adaptable Streaming Aggregation Engine. CoRR abs/2405.18168 (2024) - [i30]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 abs/2405.18628 (2024) - [i29]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 abs/2406.14593 (2024) - [i28]Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk:
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. CoRR abs/2406.16198 (2024) - [i27]Ebby Samson, Naveen Mellempudi, Wayne Luk, George A. Constantinides:
Exploring FPGA designs for MX and beyond. CoRR abs/2407.01475 (2024) - [i26]Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk:
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network. CoRR abs/2407.05521 (2024) - [i25]Ziyang Jiao, Ce Guo, Wayne Luk:
Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery. CoRR abs/2409.05500 (2024) - [i24]Gene Yu, Ce Guo, Wayne Luk:
Robust Time Series Causal Discovery for Agent-Based Model Validation. CoRR abs/2410.19412 (2024) - 2023
- [j147]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: 100323 (2023) - [j146]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): 29-42 (2023) - [j145]Amin Sahebi, Marco Barbone, Marco Procaccini, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi:
Distributed large-scale graph processing on FPGAs. J. Big Data 10(1): 95 (2023) - [j144]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): 2:1-2:24 (2023) - [j143]Yun Liang, Wei Zhang, Stephen Neuendorffer, Wayne Luk:
Special Issue: "AI Acceleration on FPGAs". ACM Trans. Embed. Comput. Syst. 22(6): 89:1-89:3 (2023) - [j142]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): 4473-4487 (2023) - [j141]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): 1621-1634 (2023) - [j140]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): 4:1-4:26 (2023) - [c488]Ce Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes:
Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test. ASAP 2023: 102-109 - [c487]José Gabriel F. Coutinho, Ce Guo, Tim Todman, Wayne Luk:
Exploring Machine Learning Adoption in Customisable Processor Design. ASICON 2023: 1-4 - [c486]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: 1-6 - [c485]Wayne Luk:
Heterogeneous Reconfigurable Accelerators: Trends and Perspectives. DAC 2023: 1-2 - [c484]Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes:
FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. FPL 2023: 182-188 - [c483]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: 248-252 - [c482]Philippos Papaphilippou, Zhiqiang Que, Wayne Luk:
Efficiently Removing Sparsity for High-Throughput Stream Processing. ICFPT 2023: 244-249 - [c481]Omar Tahir, Wayne Luk, Nicolas Wu:
Extensible Embedded Hardware Description Languages with Compilation, Simulation and Verification. HEART 2023: 1-10 - [c480]Stewart Denholm, Wayne Luk:
Customisable Processing of Neural Networks for FPGAs. HEART 2023: 69-77 - [c479]Kang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid R. Stillman, Wayne Luk, Ce Guo:
Deeper Hedging: A New Agent-based Model for Effective Deep Hedging. ICAIF 2023: 270-278 - [i23]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 abs/2306.08746 (2023) - [i22]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 abs/2308.06849 (2023) - 2022
- [j139]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): 1-16 (2022) - [j138]Philippos Papaphilippou, Wayne Luk, Chris Brooks:
FLiMS: A Fast Lightweight 2-Way Merger for Sorting. IEEE Trans. Computers 71(12): 3215-3226 (2022) - [j137]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): 5343-5356 (2022) - [j136]Tim Todman, Wayne Luk:
Custom Instructions for Networked Processor Templates. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3096-3100 (2022) - [j135]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): 3974-3987 (2022) - [j134]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): 3387-3399 (2022) - [j133]Philippos Papaphilippou, Jiuxi Meng, Nadeen Gebara, Wayne Luk:
Hipernetch: High-Performance FPGA Network Switch. ACM Trans. Reconfigurable Technol. Syst. 15(1): 3:1-3:31 (2022) - [j132]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): 227-237 (2022) - [c478]Zhiqiang Que, Marcus Loo, Wayne Luk:
Reconfigurable Acceleration of Graph Neural Networks for Jet Identification in Particle Physics. AICAS 2022: 202-205 - [c477]Markus Rognlien, Zhiqiang Que, José Gabriel F. Coutinho, Wayne Luk:
Hardware-Aware Optimizations for Deep Learning Inference on Edge Devices. ARC 2022: 118-133 - [c476]Bowen P. Y. Kwan, Ce Guo, Wayne Luk, Peiyong Jiang:
Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation. ARC 2022: 150-165 - [c475]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: 250-255 - [c474]Hongxiang Fan, Ce Guo, Wayne Luk:
Optimizing quantum circuit placement via machine learning. DAC 2022: 19-24 - [c473]Hongxiang Fan, Martin Ferianc, Wayne Luk:
Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. DAC 2022: 325-330 - [c472]Stewart Denholm, Wayne Luk:
Mixed-Resource Parallel Processing on FPGAs. FCCM 2022: 1 - [c471]Ce Guo, Wayne Luk:
Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck. FPGA 2022: 169-179 - [c470]Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides:
POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. FPL 2022: 235-242 - [c469]Stewart Denholm, Wayne Luk:
A Unified Approach for Managing Heterogeneous Processing Elements on FPGAs. FPL 2022: 270-276 - [c468]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: 327-333 - [c467]Filip Wojcicki, Zhiqiang Que, Alexander D. Tapper, Wayne Luk:
Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments. FPT 2022: 1-8 - [c466]Qianzhou Wang, Yat Wong, Zhiqiang Que, Wayne Luk:
Verifying Hardware Optimizations for Efficient Acceleration. HEART 2022: 17-23 - [c465]Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk:
Meta-Programming Design-Flow Patterns for Automating Reusable Optimisations. HEART 2022: 42-50 - [c464]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: 84-86 - [c463]Stewart Denholm, Wayne Luk:
Maximising Parallel Memory Access for Low Latency FPGA Designs. ISCAS 2022: 1477-1481 - [c462]Ziwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan:
Customizable FPGA-based Accelerator for Binarized Graph Neural Networks. ISCAS 2022: 1968-1972 - [c461]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: 599-615 - [p4]Wayne Luk, Ce Guo:
FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 250-263 - [i21]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 abs/2209.09570 (2022) - [i20]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 abs/2209.14065 (2022) - 2021
- [j131]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): 375-386 (2021) - [j130]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: 102198 (2021) - [j129]Nils Voss, Bastiaan Kwaadgras, Oskar Mencer, Wayne Luk, Georgi Gaydadjiev:
On Predictable Reconfigurable System Design. ACM Trans. Archit. Code Optim. 18(2): 17:1-17:28 (2021) - [j128]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): 2043-2055 (2021) - [j127]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): 12:1-12:21 (2021) - [j126]Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk:
Scheduling Hardware-Accelerated Cloud Functions. J. Signal Process. Syst. 93(12): 1419-1431 (2021) - [c460]Lei Fu, Ce Guo, Wayne Luk:
FPGA-accelerated Agent-Based Simulation for COVID-19. AICAS 2021: 1-4 - [c459]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: 117-124 - [c458]Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk:
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC 2021: 1063-1068 - [c457]Shuanglong Liu, Hongxiang Fan, Wayne Luk:
Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA. DATE 2021: 1530-1535 - [c456]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: 20-28 - [c455]James Stanley Targett, Wayne Luk, Michael Lange, Olivier Marsden:
Systematically migrating an operational microphysics parameterisation to FPGA technology. FCCM 2021: 69-77 - [c454]Ho-Cheung Ng, Izaak Coleman, Shuanglong Liu, Wayne Luk:
Reconfigurable Acceleration of Short Read Mapping with Biological Consideration. FPGA 2021: 229-239 - [c453]Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk:
Demonstrating custom SIMD instruction development for a RISC-V softcore. FPL 2021: 139 - [c452]Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk:
Simodense: a RISC-V softcore optimised for exploring custom SIMD instructions. FPL 2021: 391-397 - [c451]Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues:
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT 2021: 1-10 - [c450]Philippos Papaphilippou, Kentaro Sano, Boma A. Adhi, Wayne Luk:
Efficient Queue-Balancing Switch for FPGAs. FPT 2021: 1-5 - [c449]Marco Barbone, Bas W. Kwaadgras, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev:
Efficient Table-Based Polynomial on FPGA. ICCD 2021: 374-382 - [c448]Mahyar Shahsavari, David B. Thomas, Andrew D. Brown, Wayne Luk:
Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster Architecture. ICONS 2021: 5:1-5:8 - [c447]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 - [c446]Tim Todman, Wayne Luk:
Custom enhancements to networked processor templates. ISVLSI 2021: 224-229 - [c445]Marco Barbone, Andreas Wetscherek, Thomas Yung, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev:
Efficient Online 4D Magnetic Resonance Imaging. SBAC-PAD 2021: 177-187 - [i19]Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk:
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR abs/2105.09163 (2021) - [i18]Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues:
High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR abs/2106.06048 (2021) - [i17]Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk:
Extending the RISC-V ISA for exploring advanced reconfigurable SIMD instructions. CoRR abs/2106.07456 (2021) - [i16]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 abs/2106.14089 (2021) - [i15]Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk:
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. CoRR abs/2111.12787 (2021) - [i14]Philippos Papaphilippou, Wayne Luk, Chris Brooks:
FLiMS: a Fast Lightweight 2-way Merge Sorter. CoRR abs/2112.05607 (2021) - 2020
- [j125]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): 45 (2020) - [j124]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): 196-208 (2020) - [j123]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): 949-963 (2020) - [j122]Zhiqiang Que, Yongxin Zhu, Hongxiang Fan, Jiuxi Meng, Xinyu Niu, Wayne Luk:
Mapping Large LSTMs to FPGAs with Weight Reuse. J. Signal Process. Syst. 92(9): 965-979 (2020) - [c444]Ce Guo, Wayne Luk, Stephen Weston:
Accelerating Simulation for Agent-based Epidemic Models using FPGAs. AICCSA 2020: 1-8 - [c443]Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk:
Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks. ARC 2020: 3-13 - [c442]Jiuxi Meng, Ce Guo, Nadeen Gebara, Wayne Luk:
Fast and Accurate Training of Ensemble Models with FPGA-based Switch. ASAP 2020: 81-84 - [c441]Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk, Eriko Nurvitadhi, Mishali Naik:
SLATE: Managing Heterogeneous Cloud Functions. ASAP 2020: 141-148 - [c440]Hiroki Nakahara, Zhiqiang Que, Wayne Luk:
High-Throughput Convolutional Neural Network on an FPGA by Customized JPEG Compression. FCCM 2020: 1-9 - [c439]Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Xinyu Niu, Wayne Luk:
Optimizing Reconfigurable Recurrent Neural Networks. FCCM 2020: 10-18 - [c438]Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk, Eriko Nurvitadhi, Tim Todman:
Artisan: a Meta-Programming Approach For Codifying Optimisation Strategies. FCCM 2020: 177-185 - [c437]Philippos Papaphilippou, Jiuxi Meng, Wayne Luk:
High-Performance FPGA Network Switch Architecture. FPGA 2020: 76-85 - [c436]