Content
| Inhalt |
|---|
...
| Compute partition | Slurm partition | Charge (core hour) per 1 node per 1 h occupancy time | Remark |
|---|---|---|---|
cpu-clx | 96 | ||
| cpu-clx:test | |||
| cpu-clx:ssd | |||
cpu-clx:large | 144 | high memory layout | |
| cpu-clx:huge | 192 | high memory layout | |
| CPU Genoa partition | cpu-genoa cpu-genoa:test | free of charge1 | test phase |
| GPU A100 partition | gpu-a100 | 600 | four NVidia A100 (80 GB) per compute node |
gpu-a100:shared | 150 per GPU | 600 for four NVidia A100 (80 GB) per node | |
gpu-a100:shared:mig | 21.43 per MiG slice | four NVidia A100 (80 GB) splitted each into two 2g.10gb slices (8 per node and currently 24 in total) and one 3g.20gb slice (4 per node and currently 12 in total) | |
| GPU PVC partition | gpu-pvc | free of charge1 | test phase |
1: Practically the charge is a very small number (close to zero).
Job charge
The charge of core hours for a batch job depends on the number of nodes, the wallclock time used by the job, and the charge rate for the partition used. For a batch job with
...