| Energy efficient scientific computing on FPGAs using OpenCL D Weller, F Oboril, D Lukarski, J Becker, M Tahoori Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017 | 57 | 2017 |
| HiFlow3 a flexible and hardware-aware parallel finite element package V Heuveline Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented …, 2010 | 48 | 2010 |
| PARALUTION D Lukarski, N Trost www.paralution.com, 2014 | 29* | 2014 |
| Parallel Sparse Linear Algebra for Multi-core and Many-core Platforms - Parallel Solvers and Preconditioners D Lukarski Karlsruhe Institute of Technology (KIT), Germany, 2012 | 28* | 2012 |
| Numerical defect correction as an algorithm-based fault tolerance technique for iterative solvers F Oboril, MB Tahoori, V Heuveline, D Lukarski, JP Weiss 2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing …, 2011 | 27 | 2011 |
| Enhanced Parallel ILU (p)-based Preconditioners for Multi-core CPUs and GPUs-The Power (q)-pattern Method V Heuveline, D Lukarski, JP Weiss KIT, 2011 | 27 | 2011 |
| Enhanced Parallel ILU(p)-based preconditioners for multi-core CPUs and GPUs–the power (q)-pattern method V Heuveline, D Lukarski, JP Weiss EMCL Preprint Series. KIT, Karlsruhe, 2011 | 27 | 2011 |
| HiFlow3: A Hardware-Aware Parallel Finite Element Package H Anzt, W Augustin, M Baumann, T Gengenbach, T Hahn, ... Tools for High Performance Computing 2011, 139-151, 2012 | 26 | 2012 |
| Is nearly-linear the same in theory and practice? A case study with a combinatorial Laplacian solver D Hoske, D Lukarski, H Meyerhenke, M Wegner International Symposium on Experimental Algorithms, 205-218, 2015 | 18 | 2015 |
| Fast matlab compatible sparse assembly on multicore computers S Engblom, D Lukarski Parallel Computing 56, 1-17, 2016 | 15 | 2016 |
| Accelerating COBAYA3 on multi-core CPU and GPU systems using PARALUTION N Trost, J Jiménez, D Lukarski, V Sanchez SNA+ MC 2013-Joint International Conference on Supercomputing in Nuclear …, 2014 | 15 | 2014 |
| Estimating current-flow closeness centrality with a multigrid laplacian solver E Bergamini, M Wegner, D Lukarski, H Meyerhenke 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific …, 2016 | 14 | 2016 |
| Parallel smoothers for matrix-based geometric multigrid methods on locally refined meshes using multicore CPUs and GPUs V Heuveline, D Lukarski, N Trost, JP Weiss Facing the multicore-challenge II, 158-171, 2012 | 13 | 2012 |
| A multi-platform linear algebra toolbox for finite element solvers on heterogeneous clusters V Heuveline, C Subramanian, D Lukarski, JP Weiss 2010 IEEE International Conference on Cluster Computing Workshops and …, 2010 | 13 | 2010 |
| Scalable multi-coloring preconditioning for multi-core CPUs and GPUs V Heuveline, D Lukarski, JP Weiss European Conference on Parallel Processing, 389-397, 2010 | 13 | 2010 |
| Parallel smoothers for matrix-based multigrid methods on unstructured meshes using multicore CPUs and GPUs V Heuveline, D Lukarski, N Trost, JP Weiss Preprint Series of the Engineering Mathematics and Computing Lab, 2011 | 9 | 2011 |
| Multi-Elimination ILU Preconditioners on GPUs D Lukarski, H Anzt, S Tomov, J Dongarra | 7* | 2014 |
| Engineering a combinatorial Laplacian solver: Lessons learned D Hoske, D Lukarski, H Meyerhenke, M Wegner Algorithms 9 (4), 72, 2016 | 6 | 2016 |
| Parallel preconditioning and modular finite element solvers on hybrid CPU-GPU systems V Heuveline, D Lukarski, C Subramanian, JP Weiss Proceedings of the Second International Conference on Parallel, Distributed …, 2011 | 6 | 2011 |
| Evaluation of the deflated preconditioned CG method to solve bubbly and porous media flow problems on GPU and CPU R Gupta, D Lukarski, MB van Gijzen, C Vuik International Journal for Numerical Methods in Fluids 80 (11), 666-683, 2016 | 4 | 2016 |
