LBRG Scientific High Performance Computing Lab
This lab focuses on developing efficient and scalable algorithms for numerical simulations on heterogeneous high performance computers.
Most notably it leads the research software development efforts of the open source Lattice Boltzmann code OpenLB.
Selected Publications
- A. Kummerländer, F. Bukreev, D. Teutscher, M. Dorn, and M.J. Krause. Optimization of Single Node Load Balancing for Lattice Boltzmann Methods on Heterogeneous High Performance Computers. Preprint, under review. DOI: 10.2139/ssrn.4713497.
- A. Kummerländer, F. Bukreev, S. Berg, M. Dorn and M.J. Krause. Advances in Computational Process Engineering using Lattice Boltzmann Methods on High Performance Computers. In: High Performance Computing in Science and Engineering ’22.
- A. Kummerländer, M. Dorn, M. Frank, and M.J. Krause. Implicit Propagation of Directly Addressed Grids in Lattice Boltzmann Methods. In: Concurrency and Computation. DOI: 10.1002/cpe.7509.
- M.J. Krause, A. Kummerländer, S.J. Avis, H. Kusumaatmaja, D. Dapelo, F. Klemens, M. Gaedtke, N. Hafen, A. Mink, R. Trunk, J.E. Marquardt, M.L. Maier, M. Haussmann, and S. Simonis. OpenLB–Open source lattice Boltzmann code. In: Computers & Mathematics with Applications (2020). DOI: 10.1016/j.camwa.2020.04.033.
Name | Tel. | |
---|---|---|
M.Sc. Adrian Kummerländer | +49 721 608 43157 | adrian.kummerlaender@kit.edu |
Name | Task in Lab |
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M.Sc. Christoph Gaul | Efficient parallelization of resolved and subgrid-scale particles on GPUs |
Maximilian Schecher | Core Development and Refactoring of OpenLB |
Pascal Sitter | Simulation User Interfaces |