EXCELLERAT at EuroHPC Summit 2025: Engaging in the Future of High-Performance Computing
The EuroHPC Summit 2025, held in Krakow from March 18 to March 20, brought together key stakeholders in the European high-performance computing (HPC) ecosystem. EXCELLERAT was represented at the conference by several team members participating in various sessions. Additionally, EXCELLERAT had a dedicated poster on display throughout the event, highlighting the project’s latest achievements and ongoing efforts in advancing computational engineering.
Automated workflow for the Hi-fidelity simulation of propulsion devices: application to after burners
The decarbonation and depollution efforts of Safran Group are pushing the innovation of new burner technologies forward. However, the volume of after-burner flames and the unpredictability of newer fuels such as hydrogen flames are challenging the meshing practices born of more classical, no longer computationally affordable configurations.
Learn more about how this challenge could be solved in our success story.
Advanced scalable workflow of ray tracing kernel for radiative heat loads assessment
In the engineering design and digital twin of the first wall of a tokamak fusion reactor, one of the challenges is to address the physical phenomena with sufficient complexity to arrive at a digital solution that is comparable to an actual experiment. This complexity comes at the cost of time and memory heavy computation. It is thus important to optimise the CPU/GPU solver for the codes being used and to demonstrate their capability to run them at exa-scale level. EXCELLERAT provides access to HPC infrastructure and expertise to achieve this goal.
High-fidelity simulation using Adaptive Mesh Refinement with Spectral Element Method solver
High-fidelity modelling of turbulent flows with high Reynolds numbers is challenging due to the wide range of the flow features that have to be resolved. This makes running simulations computationally expensive and poses a meshing problem, as the flow dynamics may not be a priori known. Learn how this challenge could be solved in EXCELLERAT P2.
