Dr. J. (Jonas) Thies

Dr. J. (Jonas) Thies

Contact

Room: 36.HB 03.270

Profile

Expertise

Jonas has more than 20 years of experience in HPC and scientific computing with applications in CFD, climate research and quantum physics. Specifically he has worked on:

  • domain decomposition methods for sparse linear systems
  • implicit ocean models
  • sparse eigenvalue problems on heterogeneous supercomputers
  • code optimization for multi-core CPU´s and vector processors
  • software and performance engineering for scientific applications

Biography

Jonas Thies has a Bachelor degree in Computational Engineering (Erlangen 2003), a Master in Scientific Computing (KTH Stockholm, 2006) and a PhD in applied mathematics (Groningen 2011). He spent two years at the Center for Interdisciplinary Mathematics in Uppsala, after which he moved to Cologne as a Scientific Employee of the German Aerospace Center (DLR) Institute for Software Technology. There he led a research group on parallel numerics from 2017 to 2021. Since June 2021 he is an Assistant Professor at the Delft High Performance Computing Center DHPC.

Projects

  • ESSEX (Equipping Sparse Solvers for the EXa-scale, 2013-2019). A DFG-funded collaboration to research and develop sparse eigenvalue solvers for extreme-scale heterogeneous supercomputers, with applications in quantum physics (https://blogs.fau.de/essex)
  • HGF PilotLab ExaESM (2018-2021), a collaborative project to investigate new ways to scale climate research to the next generation of supercomputers, funded by the Helmholtz organization (https://exaesm.de)

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Research interests

Numerical Linear Algebra, High Performance Computing

More research interests

Publications

Courses 2024

Courses 2023

Ancillary activities

Contact

Room: 36.HB 03.270