ABOUT
Understanding
THE PROJECT
ChEESE is the Centre of Excellence (CoE) for Exascale in Solid Earth and aims to become a hub for HPC software within the solid earth community.
ChEESE aims at addressing the multiple challenges posed by geohazards and accurate predictions with the help of exascale computers.
The project primarily addresses European institutions responsible for operational monitoring networks but also at hardware developers, industrial stakeholders, public institutions and HPC centers.
Get to know the
objectives
Computational Challenges
To prepare 11 community flagship codes to address 12 domain-specific exascale Computational Challenges.
PILOT
DEMONSTRATORS
To develop a new generation of 9 Pilot Demonstrators for scientific problems requiring exascale computing.
SIMULATION
CASES
To use these Pilot Demonstrators in 15 Simulation Cases of particular relevance in terms of science, social relevance, or urgency.
Second phase of ChEESE
Building on success
This new ChEESE is the second phase of a successful research project that was coordinated by the Barcelona Supercomputing Center until 2022. Now, CSIC is taking over to ensure that ChEESE continues to position itself as a hub for HPC software within the Solid Earth community.
In the project’s first phase, ChEESE’s results had direct applications. For example, operational forecast products helped local authorities to make decisions during the eruption of Cumbre Vieja volcano at the island of La Palma (Canary Islands). ChEESE forecasts helped manage the closure of regional airports and the adoption of air quality-based containment measures for the population.
Take a look at the video of ChEESE-1 to discover more about the first phase of the project.
ChEESE CoE Phase 1
Example of
Collaboration
Coordinated by the Spanish National Research Council (CSIC), this CoE has been awarded more than €7.6 million in funding from the European Commission and national funds. A range of world-class academic and industry partners from across Europe are participating in the CoE.
