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.
Lab Lead
Name Tel. E-Mail
+49 721 608 43157 adrian.kummerlaender@kit.edu
Members
Name Task in Lab
Efficient parallelization of resolved and subgrid-scale particles on GPUs
Core Development and Refactoring of OpenLB
Simulation User Interfaces

Showcase for Efficient FSI using HLBM

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