Workplan
The ChEESE Workplan is organised into seven focused work packages, each designed to build capacity, co-design with HPC vendors, and deliver production-ready simulation services for the Solid Earth community. Click any tile to read the main objectives or dive deeper into deliverables.
Project Management
Ensure smooth operations, reporting, quality assurance, and efficient resource management across the project lifecycle.
Key objectives
- Operational management, financial and legal support, and timely delivery of scientific objectives.
- Quality control procedures and risk detection with mitigation pathways.
- Promote gender and geographic balance via the Equality Committee.
- Implement a FAIR data management plan integrated into CI/CD pipelines.
Exascale technical challenges
Address single-node, multi-node and I/O performance challenges in our flagship codes to prepare them for pre-exascale and exascale systems.
Key objectives
- Audit and optimise the 11 flagship codes for accelerators and exascale architectures.
- Improve scalability, I/O efficiency and runtime resilience at scale.
- Continuous performance monitoring during the project.
Co-design with vendors
Collaborate with European HPC vendors to co-design software and mini-apps tuned to target prototype architectures.
Key objectives
- Extract mini-apps from applications to guide co-design and benchmark efforts.
- Leverage European HPC technologies and pilot initiatives.
- Strengthen vendor-application feedback loops for sustainable codes.
Simulation ecosystem
Improve workflows and usability across the simulation stack to reduce time to solution and enable reproducible experiments.
Key objectives
- Address workflow-level challenges beyond single codes.
- Adopt holistic approaches for setup, deployment and analysis.
- Improve usability, portability, and user experience for community tools.
Farming pilot demonstrators
Build pilot demonstrators and coupling mechanisms that enable production-ready PD workflows.
Key objectives
- Implement coupling features for flagship codes in new prototype workflows.
- Develop the PD farm workflows and run demonstrators.
Simulation cases & services
Produce open, EOSC-enabled simulation datasets and enable services for hazard maps and urgent computing.
Key objectives
- Define 15 Simulation Cases for capability/capacity production runs and open datasets.
- Execute Scientific Grand Challenges when full resources are available.
- Enable EPOS services (tsunami and volcano) and urgent computing capabilities.
- Engage end users during co-design and run live demos.
Dissemination & community
Maximise impact through targeted dissemination, training, community building and knowledge transfer.
Key objectives
- Coordinate communications, training and outreach to scientific and stakeholder audiences.
- Liaise with research infrastructures (EPOS) and federated environments (EOSC).
- Run training with NCCs and organise community-building activities (Galileo Conference).
- Identify exploitable results and define commercial/distribution strategies.
