Helix/Slurm

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General information about Slurm

The bwForCluster Helix uses Slurm as batch system.

Slurm Command Overview

Slurm commands Brief explanation
sbatch Submits a job and queues it in an input queue
squeue Displays information about active, eligible, blocked, and/or recently completed jobs
scontrol Displays detailed job state information
scancel Cancels a job

Job Submission

Batch jobs are submitted with the command:

$ sbatch <job-script>

A job script contains options for Slurm in lines beginning with #SBATCH as well as your commands which you want to execute on the compute nodes. For example:

#!/bin/bash
#SBATCH --partition=single
#SBATCH --ntasks=1
#SBATCH --time=00:20:00
#SBATCH --mem=1gb
#SBATCH --export=NONE
echo 'Hello world'

This jobs requests one core (--ntasks=1) and 1 GB memory (--mem=1gb) for 20 minutes (--time=00:20:00) on nodes provided by the partition 'single'.

For the sake of a better reproducibility of jobs it is recommended to use the option --export=NONE to prevent the propagation of environment variables from the submit session into the job environment and to load required software modules in the job script.

Partitions

On bwForCluster Helix Production it is necessary to request a partition with '--partition=<partition_name>' on 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 devel partition is the default partition, if no partition is requested.

The partitions devel and single are operated in shared mode, i.e. jobs from different users can run on the same node. Jobs can get exclusive access to compute nodes in these partitions with the "--exclusive" option. The partitions multi is operated in exclusive mode. Jobs in these partitions automatically get exclusive access to the requested compute nodes.

GPUs are requested with the option "--gres=gpu:<number-of-gpus>".

Partition Node Access Policy Node Types Default Limits
devel shared cpu, gpu ntasks=1, time=00:10:00, mem-per-cpu=1gb nodes=1, time=00:30:00
single shared cpu, gpu ntasks=1, time=00:30:00, mem-per-cpu=2gb nodes=1, time=120:00:00
multi job exclusive cpu, gpu nodes=2, time=00:30:00 nodes=16, time=48:00:00


Examples

Here you can find some examples for resource requests in batch jobs.

Serial Programs

#SBATCH --partition=single
#SBATCH --ntasks=1
#SBATCH --time=120:00:00
#SBATCH --mem=4gb

Notes:

  • Jobs with "--mem" below 240gb can run on all node types associated with the single partition.

Multi-threaded Programs

#SBATCH --partition=single
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=16
#SBATCH --time=01:30:00
#SBATCH --mem=50gb

Notes:

  • Jobs with "--ntasks-per-node" up to 64 and "--mem" below 240gb can run on all node types associated with the single partition.

MPI Programs

#SBATCH --partition=multi
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=64
#SBATCH --time=12:00:00
#SBATCH --mem=50gb

Notes:

  • "--mem" requests the memory per node. Jobs with "--mem" below 240gb can run on all node types associated with the multi partition.

GPU Programs

#SBATCH --partition=single
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=40
#SBATCH --gres=gpu:4
#SBATCH --time=12:00:00
#SBATCH --mem=200gb

Notes:

  • The number of GPUs per node is requested with the option "--gres=gpu:<number-of-gpus>"
  • It is possible to request a certain GPU type with the option "--gres=gpu:<gpu-type>:<number-of-gpus>". For <gpu-type> put the 'GPU Type' listed in the last line of the GPU Nodes Hardware table.