LUMI is a general computational resource hosted by CSC in Finland.
LUMI, Large Unified Modern Infrastructure, is an HPE Cray EX supercomputer consisting of several partitions targeted for different use cases. The largest partition of the system is the LUMI-G partition consisting of GPU-accelerated nodes using AMD Instinct GPUs. In addition to this, there is a smaller CPU-only partition LUMI-C that features AMD Epyc CPUs and an auxiliary partition for data analytics with large memory nodes and some GPUs for data visualization.
The LUMI consortium countries are Finland, Belgium, the Czech Republic, Denmark, Estonia, Iceland, Norway, Poland, Sweden, and Switzerland. The acquisition and operation of the EuroHPC Supercomputer are jointly funded by the EuroHPC Joint Undertaking and the LUMI consortium. The Swedish Research Council has contributed approx. 3.5% of the funding. A corresponding share of the system is reserved for Swedish research, but researchers are encouraged to apply for resources from the JU part of LUMI and other EuroHPC resources.
More information about LUMI-G @ LUMI Sweden
Open Round
At this moment, you can apply for access to this resource in the following round:
LUMI Benchmark and Development 2024
The purpose of the LUMI Benchmark and Development calls is to support researchers and HPC application developers by giving them the opportunity to develop, test, optimise and benchmark their applications on the upcoming/available LUMI system prior to applying for a regular LUMI Sweden project.
To apply, you must be a scientist in Swedish academia, at least at the level of assistant professor. Normally previous experience from NAISS Medium/Large Compute projects, or equivalent, is required.
LUMI-G is for GPU computing.
Pending Round
You will be apply for access to this resource in the following round later:
LUMI Sweden Fall 2025
This round gives access to the Swedish share of the pan-European pre-exascale supercomputer LUMI in the EuroHPC programme during 2025.
This round will open in September 2025.
LUMI-G is for GPU computing.
See further information.