This course will be held in ENGLISH
SUBSCRIPTIONS WILL OPEN 60 DAYS BEFORE THE STARTING DATE OF THE LESSONS
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.