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.
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.
Inno4scale will identify and provide funding to support the development of advanced algorithms and applications for upcoming European exascale systems.
Supported by the EuroHPC Joint Undertaking, EuroCC 2 manages a European network of National Competence Centers (NCC) for high-performance computing and related technologies, promoting a common level of expertise across the participating countries.
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.
The SEQUOIA End-to-End project worked to develop transparent, automated, and controllable end-to-end solutions for the industrial use of hybrid quantum applications and algorithms through holistic quantum software engineering.
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.
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.
DECICE is developing an open and portable cloud management framework that will enable the automatic and adaptive optimization of software applications for heterogeneous computing architectures.
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.
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.
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.
