The 3xa project will develop scalable methods for the simulation of three-body interactions in particle systems, applying vectorized kernels, dynamic load balancing approaches and adaptive resolution schemata.
The Center of Excellence in Exascale CFD will improve European state-of-the-art computational fluid dynamics algorithms to prepare them for efficient performance on exascale supercomputers.
Focusing on critical applications for the prediction of geohazards, the Centre of Excellence for Exascale in Solid Earth aims to become a hub for HPC software within the solid earth community.
EE-HPC is testing an approach for improving energy efficiency in HPC systems by automatically regulating system parameters and settings based on current job requirements.
EXCELLERAT P2 is developing advanced applications for engineering in the manufacturing, energy, aeronautics, and automotive sectors, focusing on use cases that demonstrate the importance of HPC, HPDA, and AI for European competitiveness.
HANAMI fosters collaboration between Europe and Japan to develop applications for future generations of supercomputers across diverse scientific fields, including environmental sciences, biomedicine, and materials science.
The HiDALGO2 project is addressing challenges caused by climate change, focusing on technical issues related to scalability on HPC and AI infrastructures, the use of computational fluid dynamics methods, and uncertainty analysis.
HPC SPECTRA will promote the development of HPC expertise across Europe by building a comprehensive online platform of training opportunities, making it easy for trainees to find courses that fit their interests and needs.
Inno4scale will identify and provide funding to support the development of advanced algorithms and applications for upcoming European exascale systems.
The Performance Optimisation and Productivity Centre of Excellence in HPC provides performance optimisation and productivity services for academic and industrial codes in all domains to help in their transition to larger scales and to monitor their progress.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
targetDART is developing a task-based approach for highly scalable simulation software that mitigates load-imbalance on heterogenous systems through dynamic, adaptive and reactive distribution of computational load across compute resources.
Focusing on a large-scale, high-resolution earth system model, TOPIO is investigating read and write rates for large amounts of data on high-performance file systems, as well as approaches that use compression to reduce the amount of data without causing a significant loss of information.
ChEESE developed European flagship codes for upcoming pre-exascale and exascale supercomputing systems, focusing on Earth science fields such as computational seismology, magnetohydrodynamics, physical volcanology, tsunamis, and earthquake monitoring.
DASH aims to ease the efficient programming of future supercomputing systems for data-intensive applications. These systems will be characterized by their extreme scale and a multi-level hierarchical organization.
The EuroHyPerCon project aims to shape the future of HPC in Europe by defining a long-term hyperconnectivity specification and implementation roadmap to meet Europe's future ultra-high-speed network requirements.
Eurolab4HPC2 worked to promote the consolidation of European research excellence in exascale HPC systems.
The main goal of ExaFLOW is to address key algorithmic challenges in CFD (Computational Fluid Dynamics) to enable simulation at exascale, guided by a number of use cases of industrial relevance, and to provide open-source pilot implementations.
exaFOAM is working to reduce bottlenecks in performance scaling for computational fluid dynamics (CFD) applications on massively parallel high-performance computing (HPC) systems.
Today, exascale computers are characterized by billion-way parallelism. Computing on such extreme scale requires methods that scale perfectly and have optimal complexity. This project brings together several crucial aspects of extreme scale solving.
This project coordinates strategic collaboration and outreach among EU-funded Centres of Excellence to more efficiently exploit the benefits of extreme scale applications for addressing scientific, industrial, or societal challenges.
This consortium of academic institutes, HPC centers, and industrial partners in Europe and Brazil is developing novel algorithms and state-of-the-art codes to support the development of more efficient technologies for wind power.
InHPC-DE furthers the federation of the three national HPC centres in Germany, addresses new requirements such as security, and evaluates the Gaia-X ecosystem in the context of high-performance computing.
The Mont-Blanc project aims to design a new type of computer architecture capable of setting future HPC standards, built from energy-efficient solutions used in embedded and mobile devices.
