This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. The focus is on iterative and parallel solvers, the parallel programming models MPI and OpenMP, and the parallel middleware PETSc. Thereby, different modern Krylov Subspace Methods (CG, GMRES, BiCGSTAB.) as well as highly efficient preconditioning techniques are presented in the context of real life applications. Hands-on sessions (in C, Fortran and Python) will allow users to immediately test and understand the basic constructs of iterative solvers, the Message Passing Interface (MPI) and the shared memory directives of OpenMP (in C and Fortran).

Date: February 19-23, 2024

Location: Stuttgart, Germany and Online

Language: English

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