BinAC2/SLURM Partitions: Difference between revisions
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== Partitions == |
== Partitions == |
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The bwForCluster BinAC 2 provides two partitions (e.g. queues) for job submission. |
The bwForCluster BinAC 2 provides two partitions (e.g. queues) for job submission. |
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Within a partition job allocations are routed automatically to the most suitable compute node(s) for the requested resources (e.g. amount of nodes and cores, memory, number of GPUs). |
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The <code>gpu</code> partition will only run 8 jobs per user at the same time. A user can only use 4 A100 and 8 A30 GPUs at the same time. |
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All partitions are operated in shared mode, that is, jobs from different users can be executed on the same node. However, one can get exclusive access to compute nodes by using the "--exclusive" option. |
All partitions are operated in shared mode, that is, jobs from different users can be executed on the same node. However, one can get exclusive access to compute nodes by using the "--exclusive" option. |
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! style="width: |
! style="width:10%"| Partition |
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! style="width: |
! style="width:10%"| Node Access Policy |
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! style="width: |
! style="width:10%"| Node Types |
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! style="width:20%"| Default |
! style="width:20%"| Default |
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! style="width:20%"| Limits |
! style="width:20%"| Limits |
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| gpu |
| gpu |
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| ntasks=1, time=00:10:00, mem-per-cpu=1gb |
| ntasks=1, time=00:10:00, mem-per-cpu=1gb |
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| time=14-00:00:00</br>MaxJobsPerUser: 8</br>MaxTRESPerUser: <code>gres/gpu:a100=4,gres/gpu:a30=8</code> |
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| nodes=1, time=14-00:00:00 |
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=== Parallel Jobs === |
=== Parallel Jobs === |
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=== GPU Jobs === |
=== GPU Jobs === |
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BinAC 2 provides different GPU models for computations. Please select the appropriate GPU type |
BinAC 2 provides different GPU models for computations. Please select the appropriate GPU type and the amount of GPUs with the <code>--gres=aXX:N</code> option in your job script |
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{| class="wikitable" |
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| 24GB |
| 24GB |
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| 2 |
| 2 |
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| <code>--gres=gpu:a30: |
| <code>--gres=gpu:a30:N</code> |
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| Nvidia A100 |
| Nvidia A100 |
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| 80GB |
| 80GB |
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| 4 |
| 4 |
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| <code>--gres=gpu:a100: |
| <code>--gres=gpu:a100:N</code> |
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Latest revision as of 16:20, 19 December 2024
Partitions
The bwForCluster BinAC 2 provides two partitions (e.g. queues) for job submission. Within a partition job allocations are routed automatically to the most suitable compute node(s) for the requested resources (e.g. amount of nodes and cores, memory, number of GPUs).
The gpu partition will only run 8 jobs per user at the same time. A user can only use 4 A100 and 8 A30 GPUs at the same time.
| Partition | Node Access Policy | Node Types | Default | Limits |
|---|---|---|---|---|
| compute (default) | shared | cpu | ntasks=1, time=00:10:00, mem-per-cpu=1gb | nodes=2, time=14-00:00:00 |
| gpu | shared | gpu | ntasks=1, time=00:10:00, mem-per-cpu=1gb | time=14-00:00:00 MaxJobsPerUser: 8 MaxTRESPerUser: gres/gpu:a100=4,gres/gpu:a30=8
|
Parallel Jobs
In order to submit parallel jobs to the InfiniBand part of the cluster, i.e., for fast inter-node communication, please select the appropriate nodes via the --constraint=ib option in your job script. For less demanding parallel jobs, you may try the --constraint=eth option, which utilizes 100Gb/s Ethernet instead of the low-latency 100Gb/s InfiniBand.
GPU Jobs
BinAC 2 provides different GPU models for computations. Please select the appropriate GPU type and the amount of GPUs with the --gres=aXX:N option in your job script
| GPU | GPU Memory | # GPUs per Node [N] | Submit Option |
|---|---|---|---|
| Nvidia A30 | 24GB | 2 | --gres=gpu:a30:N
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| Nvidia A100 | 80GB | 4 | --gres=gpu:a100:N
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