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Research Group 3: Scientific Computing

Secretariat
Kollegiengebäude Mathematik (20.30)
Room 3.039

Address
Hausadresse:
Zimmer 3.039
Englerstr. 2
Kollegiengebäude Mathematik (20.30)
76131 Karlsruhe

Postadresse:
Karlsruher Institut für Technologie (KIT)
Fakultät für Mathematik
Institut für Angewandte und Numerische Mathematik
Arbeitsgruppe 3: Wissenschaftliches Rechnen
Englerstr. 2
Kollegiengebäude Mathematik (20.30)
D-76131 Karlsruhe

Office hours:
Mon-Thu 9-12 Uhr

Tel.: +49 721 608 42062

Fax.: +49 721 608 43197

M++

M++ (Meshes, Multigrid and more) is a parallel Finite Element Software to solve partial differential equations and developed at the Institute for Applied and Numerical Mathematics 3 (KIT) by Prof. Wieners. The used programming language is C++ where MPI is handling the underlying parallel processing.

Every problem class can be created individually and solved by the following standard solvers:

  • Finite Elements: Lagrange, Discontinuous Lagrange, Nedelec, Raviart-Thomas
  • Solvers: CG, GMRES, BiCGStab, MINRES
  • Preconditioners: Jacobi, GaussSeidel, SSOR, parallel direct solvers
  • Usage of different external routines: BLAS, LAPACK, SuperLU
  • Different plotting standards: vtk, gp

There is a variety of predefined problem classes like:

  • Laplace
  • Stokes
  • Linear elasticity
  • Maxwell

Further examples for the usage of M++ is given by tutorial exercises which can be found on Einführung in das Wissenschaftliche Rechnen.

Installation guide

You can find a recent version of M++ of GitLab:

Mpp

This git-repository is used in other git-repositories to realize different projects like:

Tutorial
MLMC

The installation process is described in a readme-markdown on the corresponding git repository.

Summerschool lecture on space-time methods of wave equations

The modules for the wave equations can be downloaded and tested by

svn co -r 675 https://svn.math.kit.edu/svn/M++/SummerSchool
cd SummerSchool
make TimeStepping
make SpaceTime
mpirun -n 4 M++TimeStepping
mpirun -n 4 M++SpaceTime

Details on the numerical methods are documented in the
Lecture on Space-Time Methods for the Wave Equation.
Details to SVN and the example are on page 17.

Tutorial for our summerschool on Full Waveform Inversion

The modules for testing algorithms for full waveform inversion can be downloaded an started by

svn co -r 963 https://svn.math.kit.edu/svn/M++/FWI-SummerSchool
cd FWI-SummerSchool/
make -j FWI
mpirun -n 4 fwi forward
paraview &
python3 tools/seismogram_lib.py data/FWI/seis_1.1_2.1

Some exercises and details on the numerical methods are given in the
Practice Sheet on Full Waveform Inversion.