This round has been closed as all proposals have been handled.
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.
Deadlines and Decisions
Monthly evaluation of proposals during the year.
Proposals submitted at the latest on the 15th will undergo review during the same month.
July and December have different schedules.
Proposals submitted after June 15 will be processed in August. i.e. with a first possible allocation starting September 1st!
This round is open for proposals until 2024-01-01 00:00.
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.
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.
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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