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 LUMI system prior to applying for a regular LUMI Sweden project. It is also possible to apply for regular access through this call. Preference is given to proposals applying for LUMI GPU time -- requests for only LUMI CPU are discouraged.
To apply for regular access, 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. Exceptions can be made for benchmarking and development access.
This round will open one of the very first days of 2025.
The following resources are planned to be included in this round.
This may change before the round is opened.
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Resource |
Centre |
Note |
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LUMI-C |
LUMI Sweden |
LUMI-C is for CPU computing.
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LUMI-C allocations are for the whole project duration. They are not per month as on other NAISS resources.
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.
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LUMI-G |
LUMI Sweden |
LUMI-G is for GPU computing.
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LUMI-G allocations are for the whole project duration. They are not per month as on other NAISS resources.
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.
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Storage |
LUMI Sweden |
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Storage on LUMI is in TB-hours. That is, the amount of storage used integrated over time, not the maximum amount of storage as on other NAISS systems.
Project storage for NAISS allocations on LUMI.
Storage is applied for using TB-hours. Flash storage, LUMI-F, is accounted at ten times the TB-hour rate, i.e. use of 1TB of Flash storage for one hour costs 10 TB-hours. Lustre storage, LUMI-P, is accounted at the TB-hour rate. CEPH object storage, LUMI-O, is accounted at ½ the TB-hour rate, i.e. use of 1TB of CEPH storage for one hour costs 0.5 TB-hours. The total size of the Swedish part LUMI storage system is 35 412 000 TB-hours.
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