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 […]
The first hybrid progress technical meeting, organized in Turin, Italy from 8th to 10th March by LINKS, helped to summarize […]
With the breakdown of Dennard scaling and the approaching of the post-Moore era, general-purpose processors can no longer sustain the […]