Balthasar Reuter

Senior Computational Scientist
Research, Integrated Forecast Systems, Numerical Methods

Summary:

Balthasar Reuter joined ECMWF in 2019 and investigates modern software engineering techniques such as source-to-source translation and code generation to bring performance portability and accelerator readiness into numerical weather prediction models. HIs scientific background is in numerical methods and parallel computing.

Professional interests:
  • High performance computing and computing on heterogeneous architectures
  • Numerical methods for partial differential equations, in particular discontinuous Galerkin methods
  • Scientific software development: good practices, effective tooling, modern programming styles
Career background:

PhD (Dr rer. nat.), Friedrich-Alexander University Erlangen-Nürnberg, Germany (2019). Thesis on "The discontinuous Galerkin method for free surface and subsurface flows in geophysical applications." PhD advisor Prof Dr Peter Knabner, in close collaboration with Prof Dr Vadym Aizinger.

MSc (hons) Computational Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Germany (2013). Thesis on "Coarsening of Simplicial Meshes for Large Scale Parallel FEM Computations with DOLFIN HPC: A parallel implementation of the edge collapse algorithm". Advisor Prof Dr Johan Hoffman.

MSc Scientific Computing, KTH Royal Institute of Technology, Stockholm, Sweden (2013). In collaboration with FAU Erlangen-Nürnberg as part of a double-degree program.