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Complementing the gaps in current HE courses and taking up high performance computing (HPC) knowledge for future science, technology, engineering and mathematics (STEM) professionals.

We aim to establish international cooperation and exchange of knowledge between acknowledged professionals in the field of High-performance computing (HPC). Usage of HPC, presenting nowadays the prospective field of business professionals, is one of the main accelerators of modern science and has certainly the ability to expand future-driven EU potential. A great deal of the most popular software tools that researchers are using nowadays is not developed to exploit the tremendous possibilities of HPC. Therefore, researchers must often start by learning the appropriate programming tools before they start using HPC. We strive to remove these obstacles through the gathering of necessary knowledge and testing it in the form of trainings of participants that will address their individual difficulties when using HPC.

For students
Gain skills that present a knowledge gap in current HE system, enabling future competitiveness in the fields of Engineering and Data Science.
For educators
Gain skills needed for conducting courses with HPC. Raising level of competences in theoretical, programming, mathematical and teaching skills.
For business experts
Gain skills needed for professional growth and competitiveness in the fields of Engineering and Data Science with introduction of HPC.
For future HPC HE courses
Creation of a comprehensive set of learning and teaching material, which will embrace the field of HPC in Engineering and Data Science.

The course focuses on using HPCs for solving complex PDE-based engineering problems, using the Finite Element and Finite Volume Methods. An introduction to HPC usage will be presented, as well as the employment of different software, such as Ansys, Elmer FEM, and OpenFOAM. Background on problem parallelization and benefits of using GPUs will be explained. The course will take place between June 28 and July 2 2021 and is free of charge.

The course focuses on raising the level of knowledge and competences on the topic of HPC in Data Science -with a focus on Parallelisation with the Message Passing Interface (MPI). Parallel programming with MPI as well as shared-memory parallelisation  with  OpenMP will be presented. Participants will embrace basic knowledge of programming (e.g.  programming  with  Python,  C/C++,  Fortran).

The course focuses on raising the level of knowledge and competences on the topic of HPC in Engineering -with a focus on CFD (Computational Fluid Dynamics). Participants will be acquainted with solving dynamic real-world problems, quite large in size due to many variables involved and the complex physics. They will deal with time dependency problems, with HPC and parallelization. They will embrace both programming skills as well as advanced numerical simulation skills.

The course will focus on raising the level of knowledge and competences on the topic of HPC in Data Science - with a focus on Big Data and IOT. Classical Big Data topics (using commonly used frameworks such as  Spark  for  Big  Data  management  and  analysis) and container technologies will be presented. To the participants different research methods to tackle large data problems will be introduced.