Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWayne Luk
Wayne W. C. Luk
Person information
- affiliation: Imperial College London, UK
- affiliation: Oxford University, Computing Laboratory, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j145]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)- [j144]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) - [j143]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) - [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) - [c486]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 - [c485]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 - [c484]Wayne Luk:
Heterogeneous Reconfigurable Accelerators: Trends and Perspectives. DAC 2023: 1-2 - [c483]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 - [c482]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 - [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]Hiroki Nakahara, Zhiqiang Que, Akira Jinguji, Wayne Luk:
R2CNN: Recurrent Residual Convolutional Neural Network on FPGA. FPGA 2020: 319 - [c435]Nils Voss, Tobias Becker, Simon Tilbury, Georgi Gaydadjiev, Oskar Mencer, Anna Maria Nestorov, Enrico Reggiani, Wayne Luk:
Performance Portable FPGA Design. FPGA 2020: 324 - [c434]Philippos Papaphilippou, Chris Brooks, Wayne Luk:
An Adaptable High-Throughput FPGA Merge Sorter for Accelerating Database Analytics. FPL 2020: 65-72 - [c433]Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk:
Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. ICCD 2020: 465-468 - [c432]Zhiqiang Que, Hiroki Nakahara, Hongxiang Fan, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk:
A Reconfigurable Multithreaded Accelerator for Recurrent Neural Networks. FPT 2020: 20-28 - [c431]Shuanglong Liu, Wayne Luk:
Optimizing Fully Spectral Convolutional Neural Networks on FPGA. FPT 2020: 39-47 - [c430]Ce Guo, Wayne Luk:
Quantisation-aware Dimensionality Reduction. FPT 2020: 237-240 - [c429]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: 256-262 - [c428]Tim Todman, David B. Thomas, Wayne Luk:
Exploring performance enhancement of event-driven processor networks. FPT 2020: 300 - [c427]Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk:
Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs. FPT 2020: 301 - [c426]Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk:
Reducing Underflow in Mixed Precision Training by Gradient Scaling. IJCAI 2020: 2922-2928 - [c425]Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi:
On the challenges in programming mixed-precision deep neural networks. MAPL@PLDI 2020: 20-28 - [i13]Yang Chu, Wayne Luk, Dan Goodman:
Learning Absolute Sound Source Localisation With Limited Supervisions. CoRR abs/2001.10605 (2020) - [i12]Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk:
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR. CoRR abs/2009.02784 (2020) - [i11]Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk:
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks. CoRR abs/2009.02825 (2020)
2010 – 2019
- 2019
- [j121]Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides:
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. ACM Comput. Surv. 52(2): 40:1-40:39 (2019) - [j120]Weijia Li, Conghui He, Haohuan Fu, Juepeng Zheng, Runmin Dong, Maocai Xia, Le Yu, Wayne Luk:
A Real-Time Tree Crown Detection Approach for Large-Scale Remote Sensing Images on FPGAs. Remote. Sens. 11(9): 1025 (2019) - [j119]Jingheng Xu, Haohuan Fu, Wen Shi, Lin Gan, Yuxuan Li, Wayne Luk, Guangwen Yang:
Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor. ACM Trans. Archit. Code Optim. 15(4): 41:1-41:25 (2019) - [j118]Jingheng Xu, Guangwen Yang, Haohuan Fu, Wayne Luk, Lin Gan, Wen Shi, Wei Xue, Chao Yang, Yong Jiang, Conghui He:
Optimizing Finite Volume Method Solvers on Nvidia GPUs. IEEE Trans. Parallel Distributed Syst. 30(12): 2790-2805 (2019) - [c424]Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang, Wayne Luk:
Optimizing CNN-Based Hyperspectral Image Classification on FPGAs. ARC 2019: 17-31 - [c423]Hongxiang Fan, Cheng Luo, Chenglong Zeng, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Wayne Luk:
F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition. ASAP 2019: 1-8 - [c422]Zhiqiang Que, Thomas Nugent, Shuanglong Liu, Li Tian, Xinyu Niu, Yongxin Zhu, Wayne Luk:
Efficient Weight Reuse for Large LSTMs. ASAP 2019: 17-24 - [c421]Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk, Thomas Chau:
Transparent Heterogeneous Cloud Acceleration. ASAP 2019: 33 - [c420]Ce Guo, Wayne Luk, Stanley Qing Shui Loh, Alexander Warren, Joshua M. Levine:
Customisable Control Policy Learning for Robotics. ASAP 2019: 91-98 - [c419]Nils Voss, Peter Ziegenhein, Lukas Vermond, Joost Hoozemans, Oskar Mencer, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev:
Towards Real Time Radiotherapy Simulation. ASAP 2019: 173-180 - [c418]