A list of innovations by the HPC Centres of Excellence, as spotted by the EU innovation radar
Re-watch the videos of all the presentations held at the first CoE joint technical workshop. The event was organized by the CoEs ChEESE, EXCELLERAT and HiDALGO.
ChEESE celebrates the International Day of Women and Girls in Science 2021 by interviewing several of its women researchers. This video acknowledges their contributions and recognises their importance to earth sciences and to science in general.
The objective of this use case is to simulate and analyse the consequences of geomagnetic reversals with an unprecedented level of accuracy. These events are extremely rare in the history of our planet, hence the need to resort to numerical simulations to better understand the properties of reversals and their possible consequences for society.
The objectives of this use case is to develop general concepts for enabling physics-based seismic hazard assessment with state-of-the-art multi-physics earthquake simulation software and conduct 3D physics-based seismic simulations to improve PSHA for validation scenarios provided by IMO (Iceland) and beyond.
The aim of this use case is to provide robust and very efficient numerical codes for faster-than-real-time Tsunami simulations that can be run in massively parallel multi-GPU architectures.
The objective of this use case is to provide innovative hazard maps with uncertainty, and overcoming the current limits of PVHA imposed so far by the high computational cost required to adequately simulate complex volcanic phenomena.
This pilot demonstrator is implementing an ensemble-based data assimilation system (workflow) combining the FALL3D dispersal model with high-resolution geostationary satellite retrievals in order to furnish high-resolution forecasts.
Check out new open access publication by ChEESE CoE on Probabilistic Tsunami Hazard Analysis.
Latest blog post by POP CoE – discover how their work on The Probabilistic Volcanic Hazard Assessment Work Flow package led to speedups of around 500x over the total execution time.