South-East Europe Combustion Spring School 2022 intends to give a high view of fundamental aspects and current challenges in combustion, as well as to introduce the use of Machine Learning (ML) and High Performance Computing (HPC) to approach Exa-scale simulations of turbulent reacting flows. In this course, different methodologies to enhance the computational performance of high-fidelity combustion simulations will be introduced. The methods cover from node to system-level performance optimisations and algorithms for combustion simulations. This is the first training course in a series of two CoEC seasonal schools that will take place in 2022. This introductory school to combustion will allow participants to acquire new knowledge and strengthen their understanding in a range of topics including laminar flames, turbulent combustion, ML and HPC methodologies in combustion and interactive supercomputing for in-situ analysis. In the following up CoEC School for 2022, we will build on the ground of the first school by extending the scope and topics covered and by including a number of hands-on exercises.

The CoEC Spring School 2022 is a joint effort by NCSA Bulgaria, CERFACS (France), BSC (Spain), Institute of Combustion Technology (ITV) – RWTH Aachen University (Germany) and Juelich Supercomputing Centre (Germany).