This course will be held in ENGLISH
Students accepted and not accepted will be contacted via email on THURSDAY DECEMBER 2nd, 2021.
The course will be held ONLINE using the Microsoft Teams platform in ENGLISH.
The selection of participants will be based on what written in the Curriculum.
Description:
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.
Skills:
At the end of the course, the student will possess and know how to use the following skills:
Numerical analysis
Algorithms for PDE Solution
HPC architecture
Target audience:
MSc/PhD students, Post-Docs, Academic and industrial researchers, software developers which use / are planning to use / develop a code for CFD
Pre-requisites:
Basic/intermediate knowledge about parallel computing, numerical analysis and algorithms for PDE solution.
