LFU:online

Students who have completed this course will be able to describe and classify relevant computer architectures and programming models in HPC. They will be able to identify, employ and adapt relevant numerical methods for the solution of linear PDEs in general and the diffusion equation in particular. Students will be able to provide parallel implementations for these methods and evaluate them with regard to their performance and maintainability.

Introduction to the most important and basic concepts of parallel computing, types and properties of parallel computers, performance metrics such as speed-up and efficiency, programming in OpenMP or MPI, work and data distribution, program optimisation. These topics will be illustrated and practically applied using the example of the Gauss-Seidel scheme applied to the diffusion equation.

siehe LV 198709 unter Erweiterungsstudien -> Errweiterungsstudium Scientific Computing -Pflichtmodule - Methoden des High Performance Computing

for course details and schedule see course 198709 to be found at: Extension Study Programmes - Extension Study Programme Scientific Computing - Pflichtmodule - Pflichtmodul 3: Methoden des High Performance Computing