Climate Modelling, Remote Sensing, Fluid Dynamics

• 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.