SLURM-Create a Job Script
From ALICE Documentation
- 1 Creating a job script
Creating a job script
One option for running a job on ALICE is to set up a job script. In this script, you specify the cluster resources that the job needs and list, in sequence, the commands that you want to execute. A job script is a plain text file that can be edited with a UNIX editor such as vi, nano or emacs.
To properly configure a job script, you will need to know the general script format, the commands you wish to use, how to request the resources required for the job to run, and, possibly, some of the Slurm environmental variables.
Common Slurm commands
The following is a list of common Slurm commands that will be discussed in more detail in this chapter and the following ones.
|sbatch||Submit a job script for execution (queued)|
|scancel||Delete a job|
|scontrol||Job status (detailed), several options only available to root|
|sinfo||Display state of partitions and nodes|
|squeue||Display state of all (queued) jobs|
|salloc||Submit a job for execution or initiate job in real-time (interactive job)|
If you want to get a full overview, have a look at the Slurm documentation or enter
man <command> while logged into the ALICE.
Specifing resources for jobs
Slurm has its syntax to request compute resources. Below is a summary table of some commonly requested resources and the Slurm syntax to get it. For a complete listing of request syntax, run the command man sbatch.
|sbatch/salloc||Submit batch/interactive job|
|--ntasks=<number>||Number of processes to run (default is 1)|
|--time=<hh:mm:ss>||The walltime or running time of your job (default is 00:30:00)|
|--mem=<number>||Total memory (single node)|
|--mem-per-cpu=<number>||Memory per processor core|
|--constraint=<attribute>||Node property to request (e.g. avx, IB)|
|--partition=<partition_name>||Request specified partition/queue|
For more details on Slurm syntax, see below or the Slurm documentation at slurm.schedmd.com/sbatch.html
Determining what resources to request
Requesting the right amount of resources for jobs is one the most essential aspects of using Slurm (or running any jobs on an HPC).
Before you submit a job for batch processing, it is important to know what the requirements of your program are so that it can run properly. Each program and workflow has unique requirements so we advise that you determine what resources you need before you write your script.
Keep in mind that increasing the amount of compute resources may also increase the amount of time that your job spends waiting in the queue. Within some limits, you may request whatever resources you need but bear in mind that other researchers need to be able to use those resources as well.
It is vital that you specify the resources you need as detailed as possible. This will help Slurm to better schedule your job and to allocate free resources to other users.
Below are some ways to specify the resources to ask for in your job script. These are options defined for the
salloc commands. There are additional options that you can find by checking the man pages for each command.
Nodes, Tasks and CPU's per task
In Slurm terminology, a task is an instance of a running a program.
If your program supports communication across computers or you plan on running independent tasks in parallel, request multiple tasks with the following command. The default value is set to 1.
For more advanced programs, you can request, multiple nodes, multiple tasks and multiple CPUs per task and/or per nodes.
If you need multiple nodes, then you can define the number of nodes like this
All programs require a certain amount of memory to function properly. To see how much memory your program needs, you can check the documentation or run it in an interactive session and use the top command to profile it. To specify the memory for your job, use the mem-per-cpu option.
Where <number> is memory per processor core. The default is 1GB.
If you do not define how long your job will run, it will default to 30 minutes. The maximum walltime that is available depends on the partition that you use.
To specify the walltime for your job, use the time option.
Here, <hh:mm:ss> represents hours, minutes and seconds requested. If a job does not complete within the runtime specified in the script, it will terminate.
Some programs can take advantage of the unique hardware architecture in a graphics processing unit (GPU). You have to check your documentation for compatibility. A certain number of nodes on the ALICE cluster are equipped with multiple GPUs on each of them (see the hardware description). We strongly recommend that you always specify how many GPUs you will need for your job. This way, slurm can schedule other jobs on the node which will use the remaining GPUs.
To request a node with GPUs, choose one of the gpu partitions and add one of the following lines to your script:
- <number> is the number of GPUs per node requested.
- <GPU_type> is one of the following: 2080ti
Just like for using CPUs, you can specify the memory that you need on the GPU with
Some programs solve problems that can be broken up into pieces and distributed across multiple computers that communicate over a network. This strategy often delivers greater performance. ALICE has compute nodes on two separate networks, Infiniband (100Gbps). To see these performance increases, your application or code must be specifically designed to take advantage of these low latency networks.
To request a specific network, you can add the following line to your resource request:
where <network> is IB.
Besides the network a compute node lives on, there may be other features about it that you might need to specify for your program to run efficiently. Below is a table of some commonly requested node attributes that can be defined within the constraints of the sbatch and salloc commands.
|Constraint||What It Does|
|avx/avx2||Advanced Vector eXtensions, optimized math operations|
|Xeon||Request compute nodes with Intel Xeon processors|
|Opteron||Request compute nodes with AMD Opteron processors|
Note: ALICE currently has avx/avx2 only.
Any environment variables that you have set with the
sbatch command will be passed to your job. For this reason, if your program needs certain environment variables set to function properly, it is best to put them in your job script. This also makes it easier to reproduce your job results later, if necessary.
In addition to setting environment variables yourself, Slurm provides some environment variables of its own that you can use in your job scripts. Information on some of the common slurm environment variables is listed in the chart below. For additional information, see the man page for sbatch.
|$SLURM_JOB_ID||ID of job allocation|
|$SLURM_SUBMIT_DIR||Directory job where was submitted|
|$SLURM_JOB_NODELIST||File containing allocated hostnames|
|$SLURM_NTASKS||Total number of cores for job|
NOTE: Environment variables override any options set in a batch script. Command-line options override any previously set environment variables.
Interactive jobs use the command salloc to allocate resources and put you in an interactive shell on compute node(s). Review the Determining What Resources to Request section above to determine which resources you may need to include as options for these commands.
Interactive jobs can be a helpful debugging tool for creating job scripts for batch job submission, described in the next section. This allows you to experiment on compute nodes with command options, and environmental variables, providing immediate feedback, which can help determine your workflow.
Recommendation: use of the option --ntasks enables Slurm to be efficient when allocating resources.
For testing, we recommend the following script as a starting point:
salloc --ntasks=8 --time=1:00:00 --mem-per-cpu=2GB
Examples of Interactive Jobs in Slurm
To request a job to run 8 tasks on an IB node:
salloc --ntasks=8 --constraint=IB