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J. D. Trotter, X. Cai, S. W. Funke, and J. Langguth. Compiling finite element variational forms for GPU-based assembly In FEniCS‘19, Washington DC, USA., 2019.
K. G. Hustad. Solving the monodomain model efficiently on GPUs In The University of Oslo. Department of Informatics, University of Oslo, 2019.
J. Langguth. Heterogeneous HPC Computations in Cardiac Electrophysiology In 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2018), Vancouver, Canada., 2018.
J. Langguth, H. Arevalo, C. Jarvis, and X. Cai. Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology. International Symposium on Computational Science at Scale (CoSaS), Erlangen, Germany, 2018.PDF icon poster2.pdf (6.34 MB)
H. Su, X. Cai, M. Wen, and C. Zhang. "An Analytical GPU Performance Model for 3D Stencil Computations from the Angle of Data Traffic." The Journal of Supercomputing 71, no. 7 (2015): 2433-2453.PDF icon su_etal_js2015.pdf (1.22 MB)
M. Sourouri, J. Langguth, F. Spiga, S. Baden, and X. Cai. CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters In IEEE 18th International Conference on Computational Science and Engineering. IEEE Computer Society, 2015.PDF icon 8297a017.pdf (586.3 KB)