The aim of the school is to introduce different numerical methods for Computational Fluid Dynamics (CFD). The school aims at sharing methodologies and numerical methods used by the state-of-the-art numerical codes running on High Performance Computing (HPC) clusters. The lectures will present the challenges of solving Partial Differential Equations (PDE) in problems related to fluid-dynamics, using massively parallel clusters. The lectures will give a step-by-step walkthrough the numerical methods. An introduction about strategies for parallelization (MPI, OpenMPI, use of Graphic Accelerators, plug-in of numerical libraries, etc.) will be presented.
At the end of the course, the student will possess and know how to use the following skills:
Algorithms for PDE Solution
MSc/PhD students, Post-Docs, Academic and industrial researchers, software developers which use / are planning to use / develop a code for CFD
Basic/intermediate knowledge about parallel computing, numerical analysis and algorithms for PDE solution.