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To match your job requirements to with the hardware, you can choose among the

• Compute cluster of Lise which slurm partitions of the Compute partitions which are linked to their
• charge rates on the page Accounting.

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#!/bin/bash

#SBATCH -p medium40standard96:test
#SBATCH -N 16
#SBATCH -t 06:00:00

module load impi
srun mybinary

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Job Walltime

The maximum runtime is set per partition and can be viewed either on the system with sinfo  or here. There is no minimum walltime (we cannot stop your jobs from finishing, obviously), but a walltime of at least 1 hour is encouraged. A large amount of smaller, shorter jobs can cause problems with our accounting system. The occasional short job is fine, but if you submit larger amounts of jobs that finish (or crash) quickly, we might have to intervene and temporarily suspend your account. If you have lots of smaller workloads, please consider combining them into a single job that uses at least 1 hour.

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See according Section in the Quick Start Guide.

Using the Shared Nodes

We provide a varying number of nodes from the large40 and large96 partitions as post processeing nodes in a shared mode, so that multiple jobs can run at once on a single node. You can request CPUs and memory and should take care, that you do not exceed your limits. For each CPU/Hyperthread, there is about 9.6Gb of Memory on large40:shared or 4 on the large96:shared partition.

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#!/bin/bash
#SBATCH -p large96:shared
#SBATCH -t 1-0 #one day
#SBATCH -n 10
#SBATCH -N 1

python postprocessing.py

Advanced Options

Slurm offers a lot of options for job allocation, process placement, job dependencies and arrays and much more. We cannot exhaustively cover all topics here. As mentioned at the top of the page, please consult the official slurm documentation and the man pages for an in depth description of all parameters.

+48 Hour Jobs & beyond

Most Slurm partitions CPU have a maximal wall time of 12 hours. In contrast, 48 hours is offered per default by all shared partitions, all grete partitions and medium40, large40 of Emmy. During normal office hours, one can request the extension of the wall time of any running job (mail with your user and job ID to support[at]hlrn.de). Alternatively - also per mail request (including user and project ID) - permanent access to run 48h jobs on all partitions of Lise and/or Emmy can be granted (and be used by adding e.g. #SBATCH -q 48h). Other Quality of Service levels for even longer runtimes can also be requested, but have additional restrictions regarding job size (number of nodes)

However, we recommend permanent access to the loing running QoS only as a last resort. We do not guarantee to refund your NPL on the long running QoS if something fails. Before, you should exploit all possibilities to parallelize/speed up your code or make it restartable (see below).

Dependent & Restartable Jobs - How to pass the wall time limit

If your simulation is restartable, it might be handy to automatically trigger a follow-up job. Simply provide the ID of the previous job as an additional sbatch argument:

# submit a first job, extract job id
jobid=$(sbatch --parsable job1.sbatch)

# submit a second job with dependency: starts only if the previous job terminates successfully)
jobid=$(sbatch --parsable --dependency=afterok:$jobid job2.sbatch)

# submit a third job with dependency: starts only if the previous job terminates successfully)
jobid=$(sbatch --parsable --dependency=afterok:$jobid job3.sbatch)

squeue -l -u $USER will mark all your dependent jobs with "(Dependency)" in the column "NODELIST(REASON)".

Please note: As soon as a follow-up jobscript (sbatch file) is submitted, you can not change its content any more. Lines starting with #SBATCH will be evaluated immediately. The remaining content of the jobscript is evaluated as soon as the dependency condition is fulfilled and compute nodes are available. Besides afterok there exist other dependency types (sbatch man page).

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Job arrays are the preferred way to submit many similar job. Jobs, for instance, if you need to run the same program on a number of input files, or with different settings or run them with a range of parameters. Arrays are created with the -a start-finish sbatch parameter. E.g. sbatch -a 0-19 will create 20 jobs indexed from 0 to 19. There are different ways to index the arrays, which are described below.

The behavior of the jobs can then be tied to Slurm Environment variables, which tell the program, which part of the array they are.

Job Array Indexing, Stepsize and more

Slurm supports a number of ways to set up the indexing in job arrays.

• Range: -a 0-5

• Multiple values: -a 1,5,12

• Step size: -a 0-5:2 (same as -a 0,2,4)

• Combined: -a 0-5:2,20 (same as -a 0,2,4,20)

Additionally, you can limit the number of simultaneously running jobs with the %x parameter in there:

• -a 0-11%4 only four jobs at once

• -a 0-11%1 run all jobs sequentially

• -a 0-5:2,20%2 everything combined. Run IDs 0,2,4,20, but only two at a time.

You can read everything on array indexing in the sbatch man page.

Slurm Array Environment Variables

The most used environment variable in Slurm arrays is $SLURM_ARRAY_TASK_ID. This contains the index of the job in the array and is different in every Job of the array. Other variables are:

SLURM_ARRAY_TASK_COUNT
    Total number of tasks in a array. 
SLURM_ARRAY_TASK_ID
    Job array ID (index) number. 
SLURM_ARRAY_TASK_MAX
    Job array's maximum ID (index) number. 
SLURM_ARRAY_TASK_MIN
    Job array's minimum ID (index) number. 
SLURM_ARRAY_TASK_STEP
    Job array's index step size. 
SLURM_ARRAY_JOB_ID
    Job array's master job ID number. 

Example Job Array

This is an example of a a job array, creates a job for every file ending in “.inp” in the current workding directory

#!/bin/bash
#SBATCH -p standard96
#SBATCH -t 12:00:00 #one day
#SBATCH -N 16
#SBATCH --tasks-per-node 96
# insert X as the number of .inp files you have -1 (since bash arrays start counting from 0)
# ls *.inp | wc -l
#SBATCH -a 0-X
#SBATCH -o arrayjob-%A_%a #"%A" is replaced by the job ID and "%a" with the array index.
 
#for safety reasons
shopt -s nullglob
#create a bash array with all files
arr=(./*.inp)
 
#put your command here. This just runs the fictional "big_computation" program with one of the files as input
./big_computation ${arr[$SLURM_ARRAY_TASK_ID]}

In this case, you have to get the number of files beforehand (fill in the X). You can also automatically do that by removing the #SBATCH -a line and adding that information when submitting the job:

sbatch -a 0-$(($(ls ./*.inp | wc -l)-1)) jobarray.sh

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