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The European High Performance Computing Joint Undertaking (EuroHPC JU)
Project

MAELSTROM

MAELSTROM (MAchinE Learning for Scalable meTeoROlogy and cliMate) develops large-scale machine learning applications for weather and climate science and co-design software and hardware solutions for optimal performance and energy efficiency

MAELSTROM Project Logo

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

With that in mind, the EU-funded MAELSTROM project aims to improve European computer architecture to help evaluate future climate impacts. Specifically, it will advance compute system designs for optimal application performance and energy efficiency, a software framework to optimise usability and training efficiency for machine learning at scale, and large-scale machine learning applications for the domain of weather and climate science. Customised compute systems will be designed that are optimised for application needs to strengthen Europe’s high-performance computing portfolio.

 

Cordis Factsheet

 

Stakeholders

Coordinators

European Centre for Medium-Range Weather Forecasts (ECMWF)

Address
United Kingdom
Website
https://www.ecmwf.int/

Participants

European Centre for Medium-Range Weather Forecasts (ECMWF)

Address
United Kingdom
Website
https://www.ecmwf.int/