Drive. Enable. Innovate.
The European Center of Excellence in Exascale Computing "Research on AI- and Simulation-Based Engineering at Exascale" (CoE RAISE) is a project funded by the European Commission under the Horizon 2020 Framework Programme, European research infrastructures (including e-Infrastructures). In RAISE, researchers from science and industry develop novel, scalable Artificial Intelligence technologies towards Exascale along representative use-cases from Engineering and Natural Sciences.
CoE RAISE Video
Together we go our way!
Take a look behind the scenes and get an insight into the project. What are our goals, what is our motivation and what is the daily life of some of our scientists like. Just watch it!
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Once a month we will report on various topics in the news section. Activities from our work packages, interesting events, the voices of our scientists, great results from the projects and, last but not least, an end-of-year report.
We will keep you up to date here.
From theory into practice. Science joins forces with experts from industry.
When experts from both fields come together and contribute their know-how, the best results can indeed be achieved.
Take a closer look on our use cases here.
Unique AI Framework
CoE RAISE follows the rules of open science and publishes its results open-access when they are ready for wider application. All developments of CoE RAISE are being integrated into the Unique AI Framework (UAIF), which will not only contain the trained models but also documentation on how to use them on current Petaflop and future Exascale HPC, prototype, and disruptive systems. The UAIF developed by CoE RAISE works with processing-intensive applications of a wide variety of scientific and engineering domains.
There are many challenges on CFD and AI intertwined applications, and we are at the beginning of the road. I believe when someone who has an ambitious goal should not stop trying and learning; then great things will happen. Those personal achievements will also be remembered by others and associated with your name the long-term, so I don't stop ever. I'm highly motivated to join the CoE RAISE team by working during my PhD studies on ambitious goals using cutting-edge High-Performance Computing and AI in various exciting CFD and data science applications.
S. Reza Hassanian. M
CFD and AI applications
Univeristy of Iceland
CoE RAISE project
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