Annual Report 2010 - Fachgruppe Informatik an der RWTH Aachen ...

and hydrogeological problems in two or three dimensions. The goal of this project is to
develop a parallelization of SHEMAT based on the OpenMP standard for shared memory
computers as well as to establish a methodology to reliably estimate model parameters using
automatic differentiation. This project is funded by GEOPHYSICA Beratungsgesellschaft
mbH and Federal Ministry for the Environment, Nature Conservation and Nuclear Safety.
Parallel Simulation of Reactive Multiphase Fluid Flow Models
O. Fortmeier, C. Bischof, M. Bücker
This project which is a joint work with the Chair for Numerical Mathematics is part of the
Collaborative Research Centre (SFB) 540, "Model-based experimental analysis of kinetic
phenomena in fluid multi-phase reactive systems". The main topic of this project is the
development of a parallel solver (DROPS) for the incompressible Navier-Stokes equations
that can be used for the numerical simulation of certain two-phase fluid flow models which
are considered in this SFB. The focus of our work is on the development of a hybrid
parallelization strategy combining the advantages of OpenMP and MPI. Research topics
include parallel grid refinement, load balancing, and parallel iterative algorithms to solve
sparse systems of linear equations.
An Environment for Parameter Identification and Sensitivity Analysis
M. Petera, C. Bischof, M. Bücker
This project is part of the Collaborative Research Centre (SFB) 540, "Model-based
experimental analysis of kinetic phenomena in fluid multi-phase reactive systems". Several
projects in the SFB 540 aim at developing a better understanding of complicated processes
through the use of already existing simulation packages or newly developed software in the
context of an inverse problem formulation. In order to support this process, we are developing
an environment for parameter identification, which allows the coupling of simulation codes
with algorithms for the solution of inverse problems with little effort. Tools for the automatic
differentiation of programs are an important ingredient, as they allow the exact and efficient
computation of derivatives of existing programs and thus increase both the robustness and
speed of solvers for inverse problems. Another contribution is the automatic generation of
marshalling code which effects the interfacing of the world of simulation with that of
numerical solvers for inverse problems. In particular, we plan to develop such an environment
around the models for dripping processes on films that are employing the commercial
FLUENT CFD solver, and the SEPRAN solver, developed at Delft University of Technology,
that is used in the modelling of boundary processes. The development of numerical methods
that are specifically tailored to these problems is infeasible due to the complexity of the codes
employed.
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