| New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA T Oberhuber, A Suzuki, J Vacata Acta Technica 56 (4), 447-466, 2011 | 65 | 2011 |
| Electron-scattering form factors for in the ab initio symmetry-guided framework T Dytrych, AC Hayes, KD Launey, JP Draayer, P Maris, JP Vary, D Langr, ... Physical Review C 91 (2), 024326, 2015 | 29 | 2015 |
| Multidimensional mixed–hybrid finite element method for compositional two-phase flow in heterogeneous porous media and its parallel implementation on GPU R Fučík, J Klinkovský, J Solovský, T Oberhuber, J Mikyška Computer Physics Communications 238, 165-180, 2019 | 24 | 2019 |
| Comparison study for Level set and Direct Lagrangian methods for computing Willmore flow of closed planar curves M Beneš, K Mikula, T Oberhuber, D Ševčovič Computing and visualization in science 12, 307-317, 2009 | 17 | 2009 |
| On optimal node spacing for immersed boundary–lattice Boltzmann method in 2D and 3D R Fučík, P Eichler, R Straka, P Pauš, J Klinkovský, T Oberhuber Computers & Mathematics with Applications 77 (4), 1144-1162, 2019 | 13 | 2019 |
| Adaptive row-grouped CSR format for storing of sparse matrices on GPU M Heller, T Oberhuber arXiv preprint arXiv:1203.5737, 2012 | 12 | 2012 |
| Graph cuts in segmentation of a left ventricle from MRI data J Loucký, T Oberhuber | 12* | |
| Sum-product-transform networks: Exploiting symmetries using invertible transformations T Pevný, V Smídl, M Trapp, O Poláček, T Oberhuber International Conference on Probabilistic Graphical Models, 341-352, 2020 | 11 | 2020 |
| Implementation of the Vanka-type multigrid solver for the finite element approximation of the Navier–Stokes equations on GPU P Bauer, V Klement, T Oberhuber, V Žabka Computer Physics Communications 200, 50-56, 2016 | 11 | 2016 |
| The CUDA implementation of the method of lines for the curvature dependent flows T Oberhuber, A Suzuki, V Žabka Kybernetika 47 (2), 251-272, 2011 | 11 | 2011 |
| Numerical recovery of the signed distance function T Oberhuber | 10* | |
| Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods T Oberhuber, A Suzuki, J Vacata, V Žabka Faculty of Mathematics, Kyushu University 3 (C), 73-79, 2012 | 9 | 2012 |
| Numerical solution for the Willmore flow of graphs T Oberhuber Proceedings of Czech-Japanese Seminar in Applied Mathematics, 126-138, 2005 | 9 | 2005 |
| TNL: Numerical library for modern parallel architectures T Oberhuber, J Klinkovský, R Fučík Acta Polytechnica 61 (SI), 122-134, 2021 | 8 | 2021 |
| Improved row-grouped CSR format for storing of sparse matrices on GPU T Oberhuber, M Heller Proceedings of ALGORITMY, 282-290, 2012 | 7 | 2012 |
| Finite difference scheme for the Willmore flow of graphs T Oberhuber Kybernetika 43 (6), 855-867, 2007 | 7 | 2007 |
| Numerical simulation of anisotropic mean curvature of graphs in relative geometry DH Hoang, M Beneš, T Oberhuber Acta Polytechnica Hungarica 10 (7), 99-115, 2013 | 6 | 2013 |
| Lattice Boltzmann Method Analysis Tool (LBMAT) R Fučík, P Eichler, J Klinkovský, R Straka, T Oberhuber Numerical Algorithms 93 (4), 1509-1525, 2023 | 5 | 2023 |
| Transformation of a Nucleon-Nucleon potential operator into its SU (3) tensor form using GPUs T Oberhuber, T Dytrych, KD Launey, D Langr, JP Draayer Discrete and Continuous Dynamical Systems-Series S 14 (3), 1111, 2021 | 5 | 2021 |
| Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations D Langr, T Dytrych, T Oberhuber, F Knapp Parallel Processing and Applied Mathematics: 12th International Conference …, 2018 | 5 | 2018 |
Daniel LangrCzech Technical University in Prague在 fit.cvut.cz 的电子邮件经过验证
