Project Details
Description
To develop and implement exascale-ready algorithms for addressing relevant challenges for future exascale systems, including those procured by EuroHPC, and emerging technologies such as quantum computing. Specifically, to develop new or improved algorithms that can exploit upcoming exascale architectures for computational fluid dynamics, inducing data-driven methods such as AI and large-scale optimisation
| Acronym | CEEC |
|---|---|
| Status | Active |
| Effective start/end date | 01/01/2023 → 31/12/2026 |
Collaborative partners
- Technical University of Denmark
- KTH Royal Institute of Technology (lead)
- Friedrich-Alexander University Erlangen-Nürnberg
- Umeå University
- University of Stuttgart
- Aristotle University of Thessaloniki
- Otto von Guericke University Magdeburg
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Exascale computing
- CFD
- structural optimization
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