Dimitar Lukarski
Dimitar Lukarski
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Zitiert von
Zitiert von
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
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
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
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
Engineering a combinatorial Laplacian solver: Lessons learned
D Hoske, D Lukarski, H Meyerhenke, M Wegner
Algorithms 9 (4), 72, 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
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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