In the news

The eFlows4HPC project aimed to seamlessly integrate HPC simulation with big data and machine learning, enhancing workflow efficiency and sustainability in scientific and industrial applications.

The MICROCARD project sought to develop an advanced exascale platform for simulating cardiac electrophysiology, enhancing our understanding of arrhythmias in complex biological tissues through high-resolution and cell-by-cell simulations.

The ACROSS project has successfully developed a cutting-edge platform merging High-Performance Computing (HPC), Big Data, and AI. This ambitious project targeted advancements in aeronautics, climate research and energy sectors.

The REGALE project focused on defining an open architecture to optimise resource utilisation in exascale supercomputing systems, aiming for improved performance and energy efficiency in next-generation HPC.

The EuroHPC JU-funded project DEEP-SEA has successfully delivered a programming environment needed for future European exascale systems, adapting all levels of the software stack to this revolutionary computing capacity. 

The project improved weather and climate predictions by combining HPC and machine learning. This approach resulted in new forecasting solutions that enhance accuracy and reliability when applied to the complex nature of weather and climate forecasts.

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC JU, including three of the 10 highest-ranking Top500 systems, but some other new JU developments got less attention.

The EuroHPC JU-funded project, RED-SEA, has made substantial advancements in the development of scalable and efficient interconnect technologies that are essential for exascale computing.

Building on the methods and accomplishments of the Fortissimo project series, FFplus, with a total budget of €30,0 million, will continue to support and empower SMEs and Start-ups towards innovation.