The aim of this workshop is to present the HPC numerical methods used in the fields of Computational Fluid Dynamics (CFD) and Numerical Astrophysics. The workshop aims to share the methodologies, numerical methods and their implementation used by the state-of-the-art codes in the HPC environment.
Key-note lectures will present the challenges of numerically solving Partial Differential Equations (PDE) in problems related to fluid/hydrodynamics, using massively parallel clusters. The workshop will focus on state-of the art of the different HPC architectures and the related numerical methods. Lecture topics will highlight major areas of Numerical Astrophysics and CFD including N-body dynamics, hydrodynamics/magnetohydrodynamics, relativistic hydrodynamics and magnetohydrodynamics, compressible and incompressible flows, turbulence, multi-phase flows and computational tools (visualization and parallel computing), etc...
For each thematic area, state-of-the-art codes used by the community/research group will be described. The key-note lectures will be based on the forefront numerical techniques within the aforementioned areas, and a follow-up will be partially devoted to hands-on experiences, where the participants will be invited to share their knowledge, by opened discussion. Further information will be available later for participants upon confirmations of the speakers.
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
- Parallel computing (MPI, OpenMP, GPGPUs)
- HPC architecture
- Strategies for massively parallelization of numerical methods
- Numerical Libraries for HPC
- Target audience:
- Academic and industrial researchers, software developer which use / are planning to use / develop a code for CFD or plasma physics.
Pre-requisites:
Basic knowledge on parallel computing, numerical analysis and algorithms for p.d.e. solution.
The course is FREE of charge
