- B.W. Chen, H.H. Fu, W. Luk and G. Yang,
A fully-customized dataflow engine for 3D earthquake simulation with a complex topography,
Science China Informtion Sciences, 65(5):152103, 2022.
- J.S. Targett, W. Luk, M. Lange and O. Marsden,
Systematically migrating an operational
microphysics parameterisation to FPGA technology,
IEEE Symposium on Field-Programmable Custom Computing Machines, 2021.
- W. Li, C. He, H. Fu, J. Zheng, R. Dong, M. Xia, L. Yu and W. Luk,
A real-time tree crown detection approach for large-scale remote sensing images on FPGAs,
Remote Sensing, vol. 11, no. 9, 1025, pp. 1-20, 2019.
- J. Xu, H. Fu, W. Shi, L. Gan, Y. Li, W. Luk and G. Yang,
Performance tuning and analysis for stencil-based applications on POWER8 processor,
ACM Transactions on Architecture and Code Optimization, vol. 15, no. 4, 41:1-41:25, 2019.
- J. Xu, G. Yang, H. Fu, W. Luk, L. Gan, W. Shi, W. Xue, C. Yang, Y. Jiang and C. He,
Optimizing Finite Volume Method Solvers on Nvidia GPUs,
IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 12, pp. 2790-2805, 2019.
- S. Liu, R.S.W. Chu, X. Wang and W. Luk,
Optimizing CNN-based hyperspectral image classification on FPGAs,
International Symposium on Applied Reconfigurable Computing, pp. 17-31, 2019.
- S. Liu and W. Luk,
Towards an efficient accelerator for DNN-based remote sensing image segmentation on FPGAs,
International Conference on Field Programmable Logic and Applications, pp. 187-193, 2019.
- R.S.W. Chu, H.C. Ng, X. Wang and W. Luk,
Convolution based spectral partitioning architecture for hyperspectral image classification,
IEEE International Geoscience and Remote Sensing Symposium, pp. 3962-3965, 2019.
- F.P. Russell, J.S. Targett and W. Luk,
From tensor algebra to hardware accelerators: generating streaming architectures for solving partial differential equations,
IEEE International Conference on Application-specific Systems, Architectures and Processors,
pp. 1-8, 2018.
- L. Gan, H. Fu, W. Luk, C. Yang, W. Xue and G. Yang,
Solving mesoscale atmospheric dynamics using a reconfigurable dataflow architecture,
IEEE Micro, vol. 37, no. 4, pp. 40-50, August 2017.
- F.P. Russell, P.D. Duben, X. Liu, W. Luk and T.N. Palmer,
Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures,
Computer Physics Communications, available online, 19 August 2017.
- P. Burovskiy, P. Grigoras, S.J. Sherwin and W. Luk,
Efficient assembly for high-order unstructured FEM meshes,
ACM Transactions on Reconfigurable Technology and Systems, vol. 10, no. 2, Article 12, 2017.
- P.D. Duben, F.P. Russell, X. Niu, W. Luk and T.N. Palmer,
On the use of programmable hardware and reduced numerical precision in earth-system modeling,
Journal of Advances in Modeling Earth Systems, vol. 7, Issue 3, pp. 1393-1408, 2015.
- L. Gan, H. Fu, W. Luk, C. Yang, W. Xue, X. Huang, Y. Zhang and G. Yang,
Solving the global atmospheric equations through heterogeneous reconfigurable platforms,
ACM Transactions on Reconfigurable Technology and Systems, vol. 8, no. 2, Article 11, March 2015.
- F.P. Russell, P.D. Duben, X. Niu, W. Luk and T.N. Palmer,
Architectures and precision analysis for modelling atmospheric variables with
chaotic behaviour,
IEEE Symposium on Field-Programmable Custom Computing Machines, 2015.
- J.S. Targett, X. Niu, F. Russell, W. Luk, S. Jeffress and P.D. Duben,
Lower precision for higher accuracy: precision and resolution exploration for shallow water equations,
International Conference on Field Programmable Technology, 2015.
- L. Gan, H. Fu, C. Yang, W. Luk, W. Xue, O. Mencer, X. Huang and G. Yang,
A highly-efficient and green Data Flow Engine for solving Euler Atmospheric Equations,
International Conference on Field Programmable Logic and Applicatiuons, 2014.
- L. Gan, H. Fu, W. Luk, C. Yang, W. Xue, X. Huang, Y. Zhang and G. Yang,
Accelerating solvers for global atmospheric equations through mixed-precision Data Flow Engine,
International Conference on Field Programmable Logic and Applicatiuons, 2013.
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