This image shows Dominik Göddeke

Dominik Göddeke

Prof. Dr. rer. nat.

Head of Institute and Head of Group
Institute of Applied Analysis and Numerical Simulation
Chair Computational Mathematics for Complex Simulation in Science and Engineering

Contact

+49 711 685 62022
 +49 711 685 52022

Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.40

Office Hours

by appointment

Subject

Main interests: numerics of partial differential equations, high performance computing, computational science and engineering, hardware-oriented numerics

Especially: finite-element multigrid domain decomposition methods, parallelisation, GPU computing, cluster computing and big machines, efficient data structures and implementation techniques, continuum mechanics

Current focus: fault tolerance, communication-avoiding and asynchrony, software frameworks, green computing, computational geophysics, imaging

  1. 2024

    1. B. Maier, D. Göddeke, F. Huber, T. Klotz, O. Röhrle, and M. Schulte, “OpenDiHu: An Efficient and Scalable Framework for Biophysical Simulations of the Neuromuscular System,” Journal of Computational Science, vol. 79, 2024, doi: https://doi.org/10.1016/j.jocs.2024.102291.
    2. F. Huber, P.-C. Bürkner, D. Göddeke, and M. Schulte, “Knowledge-based modeling of simulation behavior for Bayesian optimization,” Computational Mechanics, vol. 74, no. 1, Art. no. 1, Jul. 2024, doi: 10.1007/s00466-023-02427-3.

  2. 2023

    1. P. Strohbeck, C. Riethmüller, D. Göddeke, and I. Rybak, “Robust and efficient preconditioners for Stokes-Darcy problems,” in Finite Volumes for Complex Applications X - Volume 1, Elliptic and Parabolic Problems, E. Franck, J. Fuhrmann, V. Michel-Dansac, and L. Navoret, Eds., in Finite Volumes for Complex Applications X - Volume 1, Elliptic and Parabolic Problems. Springer Nature Switzerland, 2023, pp. 375–383. doi: 10.1007/978-3-031-40864-9_32.

  3. 2022

    1. E. Agullo et al., “Resiliency in numerical algorithm design for extreme scale simulations,” The International Journal of High Performance ComputingApplications, vol. 36, no. 2, Art. no. 2, 2022, doi: 10.1177/10943420211055188.
    2. B. Maier, D. Göddeke, F. Huber, T. Klotz, O. Röhrle, and M. Schulte, “OpenDiHu: An Efficient and Scalable Framework for Biophysical Simulations of the Neuromuscular System.” 2022.
    3. M. Zinßer et al., “Irradiation-dependent topology optimization of metallization grid patterns and variation of contact layer thickness used for latitude-based yield gain of thin-film solar modules,” MRS Advances, Aug. 2022, doi: 10.1557/s43580-022-00321-3.
    4. P. Benner et al., “Die mathematische Forschungsdateninitiative in der NFDI:  MaRDI (Mathematical Research Data Initiative),” GAMM Rundbrief, vol. 2022, no. 1, Art. no. 1, May 2022.

  4. 2021

    1. J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, and D. Göddeke, “Partitioned coupling vs. monolithic block-preconditioning approaches for solving Stokes-Darcy systems,” in Proceedings of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS), in Proceedings of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS). 2021. doi: 10.23967/coupled.2021.043.

  5. 2020

    1. D. Göddeke, M. Schirwon, and N. Borg, “Smartphone-Apps im Mathematikstudium,” 2020, doi: 10.18419/darus-1147.
    2. P. Bastian et al., “Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications,” in Software for Exascale Computing -- SPPEXA 2016--2019, H.-J. Bungartz, S. Reiz, B. Uekermann, P. Neumann, and W. E. Nagel, Eds., in Software for Exascale Computing -- SPPEXA 2016--2019. , Springer, 2020, pp. 225--269. doi: 10.1007/978-3-030-47956-5_9.

  6. 2018

    1. C. Engwer, M. Altenbernd, N.-A. Dreier, and D. Göddeke, “A high-level C++ approach to manage local errors, asynchrony and  faults in an MPI application,” in Proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2018), in Proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2018). Mar. 2018.

  7. 2017

    1. M. Brehler, M. Schirwon, D. Göddeke, and P. M. Krummrich, “A GPU-Accelerated Fourth-Order Runge-Kutta in the Interaction Picture Method for the Simulation of Nonlinear Signal Propagation in Multimode Fibers,” Journal of Lightwave Technology, vol. 35, no. 17, Art. no. 17, Sep. 2017, doi: 10.1109/JLT.2017.2715358.
  since 4/2022

Vice Dean for Mathematics, Faculty of Mathematics and Physics, University of Stuttgart
  since 2021

Co-Spokesperson, consortium ‘MaRDI – Mathematical Research Initiative (TA4 – Interdisciplinary Mathematics)’ within the National Research Data Initiative (NFDI)
  since 1/2019

Pl, Cluster of Excellence "Data-Integrated Simulation Science" (Exc 2075), University of Stuttgart
  since 1/2016 Fellow, Stuttgart Centre for Simulation Sciences, and Director, Institute of Applied Analysis and Numerical Simulation
  since 2/2015 Full professor (W3 m.L.), Chair Computational Mathematics for Complex Simulations in Science and Engineering, Institute of Applied Analysis and Numerical Simulation, University of Stuttgart
  8/2011–1/2015 Juniorprofessor for „Hardware-oriented Numerics for Large Systems“ at the Chair for Applied Mathematics and Numerics (LS3), Department of Mathematics, TU Dortmund Technical University
  9/2014 Positive intermediate evaluation of the Junior Professorship, formally equivalent to Habilitation in Mathematics
  10/2004–08/2011 Research assistant at the above Chair
  May 10, 2010 Graduation: Dr. rer. nat. (with highest honours)
Dissertation title: Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters (Supervisors: S. Turek, H. Müller)
  10/2004–05/2010 Doctoral studies, Department of Mathematics, TU Dortmund
  August 31, 2004 Graduation: Diploma in Computer Science (with honours)
Dissertation title: Geometric Projection Methods on Surface Triangulations for Numerical Flow Simulation with Hierarchical Multigrid Methods (Supervisors: S. Turek, H. Müller)
     
  10/1999–08/2004 Studies of Computer Science (major) and Mathematics (minor), Dortmund University, Pre-Diploma in Computer Science (9/2001) and Mathematics (4/2002)
2020 Digital Teaching Award by the students of the Department of Mathematics, University of Stuttgart
2019 Award for extraordinary engagement as a lecturer by the student body STUVUS.
2018 Best lecture award for the best intermediate level (Stochastik und angewandte Mahematik für LA) lecture in 2017/2018, awarded by the students of the Department of Mathematics, University of Stuttgart.
2016 Best lecture awards for the best entry-level (Numerical Linear Algebra) and the best intermediate level (Numerics for ODEs) lectures in 2016, awarded by the students of the Department of Mathematics, University of Stuttgart.
2011 Rudolf Chaudoire Award, jointly awarded by TU Dortmund and the Chaudoire Society to honour excellent junior researchers. The award includes 5.000€ financial support for a longer research visit abroad.
2011 Young Researcher Best Paper Award of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, jointly awarded with M. Geveler, D. Ribbrock, P. Zajac and S. Turek (all TU Dortmund) for our submission Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on Graphics Processing Units (500€ cash prize).
2010 Dissertation Award for the best doctoral dissertation of the Department of Mathematics, TU Dortmund.
2009 SIAM Travel Award for the SIAM Conference on Computational Science and Engineering (stipend of 500$).
2008 PRACE Award of the Partnership for Advanced Computing in Europe, together with S. Turek, Ch. Becker, S.H.M. Buijssen and H. Wobker (all TU Dortmund) for our contribution UCHPC – UnConventional High Performance Computing for Finite Element Simulations. This award has been granted for the first time in 2008 and honours young European researchers in HPC (stipend to attend a thematic conference).
2002–2004 Studienstiftung des Deutschen Volkes

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