Use cases

HPC accelerates the development within Natural Language Processing (NLP) by enabling faster and more efficient processing of large datasets, complex algorithms, and training of large models.

Physicist Antonio Rago uses HPC to perform complex simulations that shed light on the interactions between the fundamental building blocks of the universe.

LUMI Grand Challenge – Professor of Theoretical Physics, Kristian Sommer Thygesen and his development team at DTU went all-in to utilise the full capacity of the LUMI supercomputer.

Katrine Frøkjær Baunvig, head of the Grundtvig Center at Aarhus University has used the DeiC Interactive HPC to create an artificial intelligence of Grundtvig.

Two graduate students at Aarhus University in Denmark have contributed to international research by developing tools for training neural networks on LUMI.

High performance supercomputing has been essential for four scientists doing research in Meteorology, Climate and Wind Energy studies.

EOSC-Nordic does calculations on the new pre-exascale supercomputer, LUMI, through one of the chosen Norwegian pilot projects for the new HPC system in Finland.

A group of researchers started from scratch 10 years ago using computational biology. Now, both local high performance computing, national HPC and international HPC have been used in order to explore new areas of cancer research at Danish Cancer Society Research Center.

One of the very first projects to ever run on LUMI will be a Danish project exploring the boundaries in quantum chemistry. In such a groundbreaking trial run, everything can fail and everything can succeed.

Explore all the Danish research results where national or international supercomputer resources have been used. Find out which disciplines and universities that have used resources through PRACE and explore the outcome.