Dimitar Lukarski
Dimitar Lukarski
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Cited by
Cited by
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
HiFlow3 a flexible and hardware-aware parallel finite element package
V Heuveline
Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented …, 2010
D Lukarski, N Trost, 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
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
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
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
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
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
Fast matlab compatible sparse assembly on multicore computers
S Engblom, D Lukarski
Parallel Computing 56, 1-17, 2016
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
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
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
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
Scalable multi-coloring preconditioning for multi-core CPUs and GPUs
V Heuveline, D Lukarski, JP Weiss
European Conference on Parallel Processing, 389-397, 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
Multi-Elimination ILU Preconditioners on GPUs
D Lukarski, H Anzt, S Tomov, J Dongarra
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
Engineering a combinatorial Laplacian solver: Lessons learned
D Hoske, D Lukarski, H Meyerhenke, M Wegner
Algorithms 9 (4), 72, 2016
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
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