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2020 – today
- 2024
[c12]Balázs Opra, Betty Le Dem, Jeffrey M. Walls, Dimitar Lukarski, Cyrill Stachniss:
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation. IROS 2024: 12808-12815- [i4]Balázs Opra, Betty Le Dem, Jeffrey M. Walls, Dimitar Lukarski, Cyrill Stachniss:
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation. CoRR abs/2408.01640 (2024)
2010 – 2019
- 2017
- [c11]Dennis Weller, Fabian Oboril, Dimitar Lukarski, Jürgen Becker, Mehdi Baradaran Tahoori:
Energy Efficient Scientific Computing on FPGAs using OpenCL. FPGA 2017: 247-256 - 2016
- [j2]Daniel Hoske, Dimitar Lukarski, Henning Meyerhenke
, Michael Wegner:
Engineering a Combinatorial Laplacian Solver: Lessons Learned. Algorithms 9(4): 72 (2016) - [j1]Stefan Engblom, Dimitar Lukarski:
Fast Matlab compatible sparse assembly on multicore computers. Parallel Comput. 56: 1-17 (2016) - [c10]Elisabetta Bergamini, Michael Wegner, Dimitar Lukarski, Henning Meyerhenke:
Estimating Current-Flow Closeness Centrality with a Multigrid Laplacian Solver. CSC 2016: 1-12 - [i3]Elisabetta Bergamini, Michael Wegner, Dimitar Lukarski, Henning Meyerhenke:
Estimating Current-Flow Closeness Centrality with a Multigrid Laplacian Solver. CoRR abs/1607.02955 (2016) - 2015
- [c9]Daniel Hoske, Dimitar Lukarski, Henning Meyerhenke, Michael Wegner:
Is Nearly-linear the Same in Theory and Practice? A Case Study with a Combinatorial Laplacian Solver. SEA 2015: 205-218 - [i2]Daniel Hoske, Dimitar Lukarski, Henning Meyerhenke, Michael Wegner:
Is Nearly-linear the same in Theory and Practice? A Case Study with a Combinatorial Laplacian Solver. CoRR abs/1502.07888 (2015) - 2014
- [c8]Ali Dorostkar, Dimitar Lukarski, Björn Lund, Maya G. Neytcheva, Yvan Notay, Peter Schmidt:
CPU and GPU Performance of Large Scale Numerical Simulations in Geophysics. Euro-Par Workshops (1) 2014: 12-23 - [c7]Dimitar Lukarski, Hartwig Anzt, Stanimire Tomov, Jack J. Dongarra:
Hybrid Multi-elimination ILU Preconditioners on GPUs. IPDPS Workshops 2014: 7-16 - [c6]Hartwig Anzt, Dimitar Lukarski, Stanimire Tomov, Jack J. Dongarra:
Self-adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures. VECPAR 2014: 115-123 - [i1]Stefan Engblom, Dimitar Lukarski:
Fast Matlab compatible sparse assembly on multicore computers. CoRR abs/1406.1066 (2014) - 2013
- [c5]Stefan Suwelack, Dimitar Lukarski, Vincent Heuveline, Rüdiger Dillmann, Stefanie Speidel:
Accurate surface embedding for higher order finite elements. Symposium on Computer Animation 2013: 187-192 - 2011
- [c4]Vincent Heuveline, Dimitar Lukarski, Nico Trost, Jan-Philipp Weiss:
Parallel Smoothers for Matrix-Based Geometric Multigrid Methods on Locally Refined Meshes Using Multicore CPUs and GPUs. Facing the Multicore-Challenge 2011: 158-171 - [c3]Fabian Oboril, Mehdi Baradaran Tahoori, Vincent Heuveline, Dimitar Lukarski, Jan-Philipp Weiss:
Numerical Defect Correction as an Algorithm-Based Fault Tolerance Technique for Iterative Solvers. PRDC 2011: 144-153 - [c2]Hartwig Anzt, Werner Augustin, Martin Baumann, Thomas Gengenbach, Tobias Hahn, Andreas Helfrich-Schkarbanenko, Vincent Heuveline, Eva Ketelaer, Dimitar Lukarski, Andreas Nestler, Sebastian Ritterbusch, Staffan Ronnas, Michael Schick, Mareike Schmidtobreick, Chandramowli Subramanian, Jan-Philipp Weiss, Florian Wilhelm, Martin Wlotzka:
HiFlow3: A Hardware-Aware Parallel Finite Element Package. Parallel Tools Workshop 2011: 139-151 - 2010
- [c1]Vincent Heuveline, Dimitar Lukarski, Jan-Philipp Weiss:
Scalable Multi-coloring Preconditioning for Multi-core CPUs and GPUs. Euro-Par Workshops 2010: 389-397
Coauthor Index
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