HPC Methods for Engineering Applications

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The event is intended to collect a set of experiences from nowaday professional figures, coming from industry as well as from research centers and academy, to show the off-the-shelf technologies and methodologies available using Computer-Aided Engineering (CAE) applications in an HPC environment. More in detail we would like to show how tight can be today the relationship between HPC infrastructures and large scale applications involved in engineering product design and manufacturing. The interplay between computational platforms and engineering applications involves as a by-product parallel benchmarking and performance ranking, data intensive I/O applications, co-design of applications integrated with system-ware development, new solvers for massively parallel application, remote and parallel large scale visualization.
This three days event is divided into this main topics: 
- pre-processing: cad import and cleaning, meshing using commercial and open-source applications.
- computing: CFD, FEM, Multi-Physics, Optimization
- post-processing: data analysis and visualization using desktop and remote visualization facilities


Industrial and academic large scale applications and use cases, data analytics applications for engineering and manufacturing.

Target audience:

Academic and industrial researchers, managers which use / are planning to use HPC systems for CAE applications. This is not a training course on how to use specific CAE software.

Research Institutions
3 dd
Minimum number of attendants required: 

Next courses

Non sono previste edizioni di questo corso.

Any question?

For HPC and computer graphics courses, write to corsi.hpc@cineca.it


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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