Model speed-up by changing programming language
In hydrological modelling, accurate simulations of hydrological processes not only help to provide reliable discharge simulations for operational water management […]
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 955648. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Italy, France, Czech Republic, United Kingdom, Greece, Netherlands, Germany, Norway. |
HPC BIG DATA ARTIFICIAL INTELLIGENCE CROSS STACK PLATFORM TOWARDS EXASCALE
In hydrological modelling, accurate simulations of hydrological processes not only help to provide reliable discharge simulations for operational water management […]
In this pilot, KPIs have been partially refined: time-to-design reduction is always expected >-50% wrt current status while the LES/HPDA […]
With the breakdown of Dennard scaling and the approaching of the post-Moore era, general-purpose processors can no longer sustain the […]
Carbon capture and storage (CCS) is one of the technologies that havea large potential for mitigating CO2 emissions, and can […]
A contract to acquire the most powerful supercomputer in the Czech Republic, which also ranks among the most powerful in […]
Since 1908 Avio Aero design and produce the best-in-class aeronautical components that allow people to fly all around the world safely. […]
The news of the Bonn and Bologna openings brought great enthusiasm among EuroHPC ACROSS project partners, looking forward to cooperating more closely […]
ACROSS project is part of the European-funded projects that mostly influence the HPC world and that are reported in the […]
The growing need for timely and accurate weather forecasts originates from many sectors, such as agriculture, aviation, renewable energy, civil […]
I would like to start this blog by highlighting first the challenges and needs these sectors are experiencing, especially the […]