NERSC uses Slurm for cluster/resource management and job scheduling. Slurm is responsible for allocating resources to users, providing a framework for starting, executing and monitoring work on allocated resources and scheduling work for future execution.
- Documentation: https://slurm.schedmd.com/documentation.html
- Tutorial: https://slurm.schedmd.com/tutorials.html
- Manual: https://slurm.schedmd.com/man_index.html
- FAQ: https://slurm.schedmd.com/faq.html
A job is an allocation of resources such as compute nodes assigned to a user for an amount of time. Jobs can be interactive or batch (e.g. a script) scheduled for later execution.
NERSC provides an extensive set of example job scripts
Once a job is assigned a set of nodes, the user is able to initiate parallel work in the form of job steps (sets of tasks) in any configuration within the allocation.
When you login to a NERSC system you land on a login node. Login nodes are for editing, compiling, preparing jobs. They are not for running jobs. From the login node you can interact with Slurm to submit job scripts or start interactive jobs.
NERSC supports a diverse workload including high-throughput serial tasks, full system capability simulations and complex workflows.
sbatch is used to submit a job script for later execution. The script will typically contain one or more srun commands to launch parallel tasks.
When you submit the job, Slurm responds with the job's ID, which will be used to identify this job in reports from Slurm.
nersc$ sbatch first-job.sh Submitted batch job 864933
Slurm will also check your file system usage and reject the job if you are over your quota in your scratch or home file system. See here for more details.
salloc is used to allocate resources for a job in real time. Typically this is used to allocate resources and spawn a shell. The shell is then used to execute srun commands to launch parallel tasks.
srun is used to submit a job for execution or initiate job steps in real time. A job can contain multiple job steps executing sequentially or in parallel on independent or shared resources within the job's node allocation. This command is typically executed within a script which is submitted with
sbatch or from an interactive prompt on a compute node obtained via
At a minimum a job script must include number of nodes, time, type of nodes (constraint), and quality of service (QOS). If a script does not specify any of these options then a default may be applied.
It is good practice to always set the account option (
--account = <NERSC Repository>).
The full list of directives is documented in the man pages for the
sbatch command (see.
man sbatch). Each option can be specified either as a directive in the job script:
#!/bin/bash #SBATCH -N 2
Or as a command line option when submitting the script:
nersc$ sbatch -N 2 ./first-job.sh
The command line and directive versions of an option are equivalent and interchangeable. If the same option is present both on the command line and as a directive, the command line will be honored. If the same option or directive is specified twice, the last value supplied will be used.
Also, many options have both a long form, eg
--nodes=2 and a short form, eg
-N 2. These are equivalent and interchangable.
Many options are common to both
srun, for example
sbatch -N 4 ./first-job.sh allocates 4 nodes to
srun -N 4 uname -n inside the job runs a copy of
uname -n on each of 4 nodes. If you don't specify an option in the
srun command line,
srun will inherit the value of that option from
In these cases the default behavior of
srun is to assume the same options as were passed to
sbatch. This is achieved via environment variables:
sbatch sets a number of environment variables with names like
SLURM_NNODES and srun checks the values of those variables. This has two important consequences:
Your job script can see the settings it was submitted with by checking these environment variables
You should not override these environment variables. Also be aware that if your job script does certain tricky things, such as using ssh to launch a command on another node, the environment might not be propagated and your job may not behave correctly
|account||set in Iris|
Show Job Details¶
To view slurm job
scontrol show job <JobID>
Available memory for applications on compute nodes¶
Since OS uses some memory from the total memory of 128 GB on a Haswell compute node and 96 GB on a KNL compute node, the available memory we set in Slurm for applications to use is 118 GB on a Haswell node, and 87 GB on a KNL node.
Users will not be allowed to submit jobs if they are over quota in their scratch or home directories. This quota check is done twice, first when the job is submitted and again when the running job invokes
srun. This could mean that if you went over quota after submitting the job, the job could fail when it runs. Please check your quota regularly and delete or archive data as needed.