Virtual School on Numerical Methods for Parallel CFD

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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:

    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 


Basic/intermediate knowledge about parallel computing, numerical analysis and algorithms for PDE solution.

Intended for: 
Provided as: 

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Cineca is a non profit Consortium, made up of 70 Italian universities, 5 Italian Research Institutions and the Italian Ministry of Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

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