The aim of this workshop is to present the off-the- shelf computational technologies and methodologies available using Computer-Aided Engineering (CAE) application in High Performance Computing (HPC) environment.
The workshop will show the tight 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-aware development, new solvers for massively parallel application, remote and parallel large scale visualization. The keynote lectures will be based on the forefront numerical techniques and methodologies 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.
At the end of the course, the student is expected to increase the know how about:
- HPC infrastructure, ecosystem and environment
- pre-processing in HPC environment: cad import and cleaning, meshing using commercial and open-source applications.
- HPC computing: CFD, FEM, Multi-Physics, Optimization
- post-processing: data analysis and visualization using desktop and remote visualization facilities
Academic and industrial researchers, managers that use/are planning to use HPC systems for CAE applications.
This is not a training course on how to use specific CAE software.
Knowledge of one or more open-source/licensed tools used for CAE applications, basic knowledge of parallel computing.