Photo of Adrian Kummerländer

M.Sc. Adrian Kummerländer

  • Institute for Applied and Numerical Mathematics
    Karlsruhe Institute of Technology
    Englerstr. 2
    76131 Karlsruhe

Research Interests

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)

Topic Contact Type
Code generation for automatic differentiation (AD) in LBM Bachelor- / Masterthesis
Usage of various accelerators in a heterogeneous LBM framework 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.

Curriculum Vitae

Since 05/2021Doctorate at the Lattice Boltzmann Research Group, KIT
2019-2021Master studies of Mathematics at KIT with subject area Computer Science
2015-2019Bachelor studies of Mathematics at KIT with subject area Computer Science
2010-2013Vocational training as a Software Developer
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