Johannes Lotz

Research Interest:

• dco/c++ - Derivative Code by Overloading in C++
• Hybrid Approaches to Adjoint Code Generation based on the AD Tool dco/c++.
• Joint work with TU Kaiserslautern, Chair for Scientific Computing:
  dco/c++ and TRACE / PADGE (CFD, optimization).
• Joint work with Jülich Research Center, IEK-7:
  dco/c++ and JURASSIC (atmospheric remote sensing, inverse problems).
• Joint work with RWTH, Process Systems Engineering:
  dco/c++ and NIXE (ODE integration, data fitting).
• Joint work with NAG:
  dco/c++ and CUDA (finance).
• Internally:
  • dco/c++ and dco/fortran.
  • dco/c++ and OpenFOAM (CFD, optimization).
  • dco/c++ and PETSc.

Publications:

• 2016
  • J. Lotz, U. Naumann, S. Mitra. Mixed Integer Programming for Call Tree Reversal, 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing.
  • J. Lotz. Hybrid Approaches to Adjoint Code Generation with dco/c++, PhD Thesis, 2016.
  • J. Lotz, M. Schwalbach, U. Naumann. A Case Study in Adjoint Sensitivity Analysis of Parameter Calibration, Procedia Computer Science 80, 2016 International Conference on Computational Science.
• 2015
  • J. Lotz, U. Naumann, R. Hannemann-Tamas, T. Ploch, and A. Mitsos. Higher-Order Discrete Adjoint ODE Solver in C++ for Dynamic Optimization , Procedia Computer Science, 2015 International Conference on Computational Science.
  • N. Safiran, J. Lotz, U. Naumann. Second-order Tangent Solvers for Systems of Parameterized Nonlinear Equations, Procedia Computer Science, 2015 International Conference on Computational Science.
  • 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.
• 2013
  • M. Sagebaum, N. R. Gauger, U. Naumann, J. Lotz, and K. Leppkes. Algorithmic Differentiation of a Complex C++ Code with Underlying Libraries . Procedia Computer Science, 18, 208-217, 2013.
  • J. Lotz, U. Naumann, M. Sagebaum, M. Schanen. Discrete Adjoints of PETSc through dco/c++ and Adjoint MPI . In Euro-Par 2013 Parallel Processing (pp. 497-507). Springer Berlin Heidelberg, 2013.
• 2012
  • J. d. Toit, J. Lotz, and U. Naumann. Adjoint Algorithmic Differentiation of a GPU Accelerated Application, pdf, 2012.
  • J. Lotz, U. Naumann and J. Ungermann. Hierarchical Algorithmic Differentiation: A Case Study , Recent Advances in Algorithmic Differentiation, Lecture Notes in Computational Science and Engineering, Volume 87, 187-196, 2012.
• 2011
  • J. Ungermann, J. Blank, J. Lotz, K. Leppkes, T. Guggenmoser, M. Kaufmann, P. Preusse, U. Naumann, and M. Riese. A 3-D Tomographic Trajectory Retrieval for the Air-borne Limb-imager GLORIA , Atmos. Meas. Tech., 2011.