Content
Inhalt |
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Project account
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- A User Account accesses a project account containing units of core hour. A project account can be a Test Project or a Compute Project.
- A batch job on the compute system is charged by a number of core hour to measure the usage.
- Usage of persistent storage including the tape library are currently not accounted.
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NHR@ZIB operates system Lise which hold with different Compute cluster containing different partitions. Properties for available (slurm-)partitions representing the specific hardware.
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you find on the pages
Each partition holds a specific charge rate.
Compute partition | Slurm partition | Charge (core hour) per 1 node per 1 h occupancy time | Increased charge rate due toRemark | |
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cluster | cpu-clx | 96 | ||
cpu-clx:test | ||||
96 | 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 clusterpartition | 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 clusterpartition | gpu-pvc | free of charge1 | test phase |
Charge Rates for NHR@Göttingen
NHR@Göttingen operates system Emmy which hold different Compute cluster 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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