New approaches to the efficient implementation of Lattice Boltzmann Methods on heterogeneous High Performance Computers are explored. A particular focus is placed on the usage of GPGPUs and methods for local grid refinement in the context of an adaptive simulation framework.
My current main project is OpenLB – An Open Source High Performance Lattice Boltzmann Code for Heterogeneous CPU-GPU Clusters financed by NHR@KIT.
Publications / Conferences
- A. Kummerländer, M. Dorn, M. Frank, and M.J. Krause. Implicit Propagation of Directly Addressed Grids in Lattice Boltzmann Methods. (Preprint submitted to Computers & Fluids, Presented at ParCFD 2021)
- 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). (Open Access)
Theses (offered topics)
|Code generation for automatic differentiation (AD) in LBM||M.Sc. Adrian Kummerländer||Bachelor- / Masterthesis|
|Usage of various accelerators in a heterogeneous LBM framework||M.Sc. Adrian Kummerländer||Bachelor- / Masterthesis|
These topics are suggestions for an initial discussion. The actual topic can be adapted to fit the profile and interests of the student.
Also feel free to contact me with own thesis ideas at the intersection of LBM and HPC.
|Since 05/2021||Doctorate at the Lattice Boltzmann Research Group, KIT|
|2019-2021||Master studies of Mathematics at KIT with subject area Computer Science|
|2015-2019||Bachelor studies of Mathematics at KIT with subject area Computer Science|
|2010-2013||Vocational training as a Software Developer|