Miriam Mehl

Miriam Mehl (2010 Alumni)

Carl von Linde Junior Fellow

University of Stuttgart

Simulation of Large Systems

Hans-Joachim Bungartz

Focus Group
High-Performance Computing (HPC)

Short CV

After receiving her diploma in mathematics from TUM in 1997 ('summa cum laude'), Miriam Mehl completed her doctorate ('summa cum laude') in the interdisciplinary area of biological wastewater treatment in 2001. She finished her habilitation in the TUM Department of Computer Science in summer 2010, and is involved in several projects in the fields of computational fluid dynamics (CFD), simulation of fluid-structure interactions, and high-performance computing. From 2002 onwards, she was the head of the CFD Group at the Department for Scientific Computing in Computer Science at TUM. This group works with a strong focus on numerically and hardware-efficient algorithms for PDE solvers on high-performance computing architectures.

Since 2013, Miriam Mehl has held the position of a professor at the University of Stuttgart’s Institute for Parallel and Distributed Systems. She is head of the Institute for the Simulation of Large Systems.

Selected Awards

1993-1997 Bayerische Begabtenfoerderung

Research Interests

Miriam Mehls research topics are in the field of Scientific Computing with a special focus on fluid dynamics related applications. The major aim is to combine mathematical and computer science methods in order to achieve numerically and hardware efficient simulation software. This concerns both the simulation program itself but also the embedding into an application context, that is preprocessing, geometry description, and grid generation one the input side and data interpretation and visualisation on the output side but also the embedding in larger contexts such as coupled multi-physics simulations and interactive simulations (computational steering).
Since solvers for partial differential equations are typically data-intensive applications, low memory requirements and efficient data access algorithms are of particular importance and not trivial to achieve for state-of-the art numerical methods such as multigrid solvers on adaptive grids with their complex data dependencies. For multi-physics problems, the challenges are to find flexible and efficient tools for code coupling to be able to reuse existing software and to develop stable numerical coupling strategies that work even with black-box solvers for the single-physics components.

Selected Publications

  • Mehl, Miriam; Uekermann, Benjamin; Bijl, Hester; Blom, David; Gatzhammer, Bernhard; van Zuijlen, Alexander: Parallel coupling numerics for partitioned fluid–structure interaction simulations. Computers & Mathematics with Applications 71 (4), 2016, 869-891 more… BibTeX Full text ( DOI )
  • Neumann, P.; Ueckermann, B.; Bijl, H.; Blom, D.; Gatzhammer, B.; van Zuijlen, A.: Coupled Approaches for Fluid Dynamics Problems Using the PDE Framework Peano. Communications in Computational Physics, 2012 more… BibTeX
  • Bungartz, Hans-Joachim; Gatzhammer, Bernhard; Lieb, Michael; Mehl, Miriam; Neckel, Tobias: Towards multi-phase flow simulations in the PDE framework Peano. Computational Mechanics 48 (3), 2011, 365-376 more… BibTeX Full text ( DOI )
  • Weinzierl, Tobias; Mehl, Miriam: Peano—A Traversal and Storage Scheme for Octree-Like Adaptive Cartesian Multiscale Grids. SIAM J. Sci. Comput. 33 (5), 2011, 2732-2760 more… BibTeX Full text ( DOI )
  • Bungartz, H.-J.; Benk, J.; Gatzhammer, B.; Mehl, M.; Neckel, T.: Partitioned Simulation of Fluid-Structure Interaction on Cartesian Grids. In: Fluid Structure Interaction II. Springer Science + Business Media, 2010 more… BibTeX Full text ( DOI )
  • Atanasov, Atanas; Bungartz, Hans-Joachim; Frisch, Jérôme; Mehl, Miriam; Mundani, Ralf-Peter; Rank, Ernst; van Treeck, Christoph: Computational Steering of Complex Flow Simulations. In: High Performance Computing in Science and Engineering, Garching/Munich 2009. Springer Science + Business Media, 2010 more… BibTeX Full text ( DOI )
  • Bungartz, Hans-Joachim; Mehl, Miriam; Neckel, Tobias; Weinzierl, Tobias: The PDE framework Peano applied to fluid dynamics: an efficient implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grids. Computational Mechanics 46 (1), 2009, 103-114 more… BibTeX Full text ( DOI )
  • Bungartz, H. -J.; Mehl, M.; Zenger, Ch.: Computer Science and Numerical Fluid Mechanics – An Essential Cooperation. In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer Science + Business Media, 2009 more… BibTeX Full text ( DOI )
  • Mehl, Miriam; Brenk, Markus; Bungartz, Hans-Joachim; Daubner, Klaus; Muntean, Ioan Lucian; Neckel, Tobias: An Eulerian approach for partitioned fluid–structure simulations on Cartesian grids. Computational Mechanics 43 (1), 2008, 115-124 more… BibTeX Full text ( DOI )
  • Brenk, Markus; Bungartz, Hans-Joachim; Mehl, Miriam; Muntean, Ioan L.; Neckel, Tobias; Weinzierl, Tobias: Numerical Simulation of Particle Transport in a Drift Ratchet. SIAM J. Sci. Comput. 30 (6), 2008, 2777-2798 more… BibTeX Full text ( DOI )
  • Mehl, M.; Weinzierl, T.; Zenger, Chr.: A cache-oblivious self-adaptive full multigrid method. Numer. Linear Algebra Appl. 13 (2-3), 2006, 275-291 more… BibTeX Full text ( DOI )
  • Günther, F.; Mehl, M.; Pögl, M.; Zenger, C.: A cache-aware algorithm for PDEs on hierarchical dat a structures based on space-filling curves. SIAM Journal on Scientific Computing 25(5), 2006 more… BibTeX
  • Kuehn, M.; Mehl, M.; Hausner, M.; Bungartz, H.-J.; Wuertz, S.: Time-resolved Study of Biofilm Architecture and Transport Processes Using Experimental and Simulation Techniques: The Role of EPS. Water Science & Technology 43(6), 2001 more… BibTeX
  • Bungartz, H.-J.; Kuehn, M.; Mehl, M.; Hausner, M.; Wuertz, S.: Fluid flow and transport in defined biofilms: Experiments and numerical simulations on a microscale. Water Science & Technology 41(4-5), 2000, 331-338 more… BibTeX