Markus Towara

Work:

I work on a discrete adjoint version of OpenFOAM. It allows to perform topology and shape optimization on complex geometries.

Publications:

• 2015 U. Naumann, J. Lotz, K. Leppkes, M. Towara.
  Algorithmic Differentiation of Numerical Methods: First-Order Tangents and Adjoints for Solvers of Systems of Nonlinear Equations , ACM TOMS, Vol. 41
• 2015 M. Towara, M. Schanen, U. Naumann
  MPI-Parallel Discrete Adjoint OpenFOAM Proceedings of ICCS 2015
• 2013 M. Towara, U. Naumann
  A Discrete Adjoint Model for OpenFOAM Proceedings of ICCS 2013

Talks:

• 2017
  • OpenFOAM Stammtisch, Kassel, Germany.
    Discrete Adjoint OpenFOAM
• 2016
  • 4th Annual OpenFOAM User Conference, Cologne, Germany:
    Parametric-Adjoint Optimization using OpenFOAM and CAESES
    (joint presentation with C. Fütterer, Friendship Systems AG)
  • AD2016 - 7th International Conference on Algorithmic Differentiation, Oxford, UK:
    SIMPLE Adjoint Message Passing
  • 11th OpenFOAM Workshop, Guimarães, Portugal:Discrete Adjoint Sensitivities in OpenFOAM

• 2015
  • ICCS 2015, Reykjavik, Iceland:
    MPI-Parallel Discrete Adjoint OpenFOAM
  • 3rd Argonne AD Workshop, US:
    Implementing the Discrete Adjoint Formulation in OpenFOAM
• 2014
  • Opt-I Conference, Kos, Greece:
    Advances in Discrete adjoint OpenFOAM
  • 15th Euro-AD Workshop, Sophia Antipolis, France:
    Reverse Accumulation in Discrete Adjoint OpenFOAM
  • 2nd OpenFOAM Users Conference, Berlin:
    Discrete Adjoints for Optimization with OpenFOAM
• 2013
  • ICCS 2013, Barcelona, Spain:
    A Discrete Adjoint Model for OpenFOAM
  • EuroAD 2013, Oxford, UK:
    An (more) effective Discrete Adjoint Model for OpenFOAM
• 2012
  • Conference on Industrial Design Optimisation for Fluid Flow, Garching, Germany:
    Towards a discrete Adjoint Model for OpenFOAM
  • Graph and Hypergraph Problems in Computational Science: Applications and Algorithms, Park City, USA:
    Sparsity Pattern Detection

Teaching:

• Computational Differentiation
• Combinatorial Problems in Scientific Computing
• Software Engineering Lab