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Project account
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NHR@ZIB operates system Lise with different Compute partitions. Properties for available (slurm-)partitions you find on the pages
- Slurm partitions partition CPU CLX,
- Slurm partitions partition GPU A100, and
- GPU PVC partition.
Each partition holds a specific charge rate.
| ClusterCompute partition | PartitionSlurm partition | Charge (core hour) per 1 node per 1 h occupancy time | Remark | |||
|---|---|---|---|---|---|---|
| partition "Lise" | standard96 standard96:test | 96 | cpu-clx | 96 | ||
| cpu-clx:test | ||||||
| cpu-clx:ssd | ||||||
cpu-clx:large | 144 | high memory layouthuge96 | ||||
| cpu-clx:huge | 192 | high memory layout | ||||
| CPU Genoa partition | cpu-genoa | free of charge1 | test phase | |||
| GPU A100 partition - deprecated | 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 |
Charge Rates for NHR@Göttingen
NHR@Göttingen operates system Emmy which hold different Compute partitions containing different types of compute nodes each. The charge rates for the partitions are given in the table.
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standard96
standard96:test
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large96
large96:test
large96:shared
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192
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medium40
medium40:test
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large40
large40:test
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gpu
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four NVidia V100 (32 GB) GPUs per node
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grete
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four NVidia A100 (40 GB)
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grete:shared
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600: four NVidia A100 (40 GB) per node
1200: eight NVidia A100 (80 GB) GPUs per node
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grete:interactive
grete:preemptible
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four NVidia A100 (40 GB) splitted each into
two 2g.10gb slices (8 per node and currently 24 in total) and
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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
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