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Submission of jobs mainly happens via the sbatch command using jobscript, but interactive jobs and node allocations are also possible using srun or salloc. Resource selecttion (e.g. number of nodes or cores) is handled via command parameters, or may be specified in the job script.
Partitions
To match your job requirements to the hardware you can choose among various partitions. Each partition has its own job queue. All available partitions and their corresponding walltime, core number, memory, CPU/GPU types are listed here.
| (number holds cores per node) | Location | Max. walltime | Nodes | Max. nodes per job | Max. jobs per user | Usable memory per node | Shared | NPL per node hour | Remark |
|---|---|---|---|---|---|---|---|---|---|
| standard96 | Lise | 12:00:00 | 952 | 256 | (var) | 362 GB | ✘ | 14 | default partition |
| standard96:test | Lise | 1:00:00 | 32 dedicated +128 on demand | 16 | 1 | 362 GB | ✘ | 14 | test nodes with higher priority but lower walltime |
| large96 | Lise | 12:00:00 | 28 | 4 | (var) | 747 GB | ✘ | 21 | fat nodes |
| large96:test | Lise | 1:00:00 | 2 dedicated +2 on demand | 2 | 1 | 747 GB | ✘ | 21 | fat test nodes with higher priority but lower walltime |
| large96:shared | Lise | 48:00:00 | 2 dedicated | 1 | (var) | 747 GB | ✓ | 21 | fat nodes for data pre- and postprocessing |
| huge96 | Lise | 24:00:00 | 2 | 1 | (var) | 1522 GB | ✓ | 28 | very fat nodes for data pre- and postprocessing |
| medium40 | Emmy | 12:00:00 | 368 | 128 | unlimited | 362 GB | ✘ | 6 | default partition |
| medium40:test | Emmy | 1:00:00 | 16 dedicated +48 on demand | 8 | unlimited | 362 GB | ✘ | 6 | test nodes with higher priority but lower walltime |
| large40 | Emmy | 12:00:00 | 11 | 4 | unlimited | 747 GB | ✘ | 12 | fat nodes |
| large40:test | Emmy | 1:00:00 | 3 | 2 | unlimited | 747 GB | ✘ | 12 | fat test nodes with higher priority but lower walltime |
| large40:shared | Emmy | 24:00:00 | 2 | 1 | unlimited | 747 GB | ✓ | 12 | for data pre- and postprocessing |
| gpu | Emmy | 12:00:00 | 1 | 1 | unlimited | ✘ | equipped with 4 x NVIDIA Tesla V100 32GB |
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