UG2.6.1: How to submit the job - Batch Scheduler SLURM - SCAI - User Support (2023)

In this page:

SLURM Workload Manager (or simply SLURM, which stands for "Simple Linux Utility for Resource Management")is an open source and highly scalable job scheduling system.

SLURM has three key functions. Firstly, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time, so they can perform their work. Secondly, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes. Finally, it arbitrates contention for resources by managing the queue of pending jobs.

Important: the node you are logged in is a login node andcannot be usedto execute parallel programs. Any command in the login nodes is limited up to 10 minutes. For longer runs, you need to use SLURM scheduler in "batch" mode or "interactive" mode.

Currently, SLURM is the scheduling system of MARCONI100 and GALILEO100. Comprehensive documentation is on this portal, as well as on the original SchedMD site.

Running applications using SLURM

With SLURM you can specify the tasks that you want to be executed; the system takes care of running these tasks and returns the results to the user. If the resources are not available, then SLURM holds your jobs and runs them when they will become available.

With SLURM younormally create a batch jobwhich you submit to the scheduler. A batch job is a file (a shell script under UNIX) containing the set of commands that you want to run. It also contains the directives that specify the characteristics (attributes) of the job and the resource requirements (e.g. number of processors and CPU time) that your job needs.

Once you create your job, you can reuse it if you wish. Or, you can modify it for subsequent runs.

For example, here is a simple SLURM job script to run a user's application by setting a limit (one hour) to the maximum wall time, requesting 1 full node with 36 cores:

#!/bin/bash
#SBATCH --nodes=1 # 1 node
#SBATCH --ntasks-per-node=36 # 36 tasks per node
#SBATCH --time=1:00:00 # time limits: 1 hour
#SBATCH --error=myJob.err # standard error file
#SBATCH --output=myJob.out # standard output file
#SBATCH --account=<account_no> # account name
#SBATCH --partition=<partition_name> # partition name
#SBATCH --qos=<qos_name> # quality of service
./my_application

SLURM has been configured differently on the various systems reflecting the different system features. Please refer to the system specific guidesfor more detailed information.

Basic SLURM commands

The main user's commands of SLURM are reported in the table below: please consult the man pages for more information.

sbatch, srun, sallocSubmit a job
squeueLists jobs in the queue
sinfoPrints queue information about nodes and partitions
sbatch <batch script>Submits a batch script to the queue
scancel <jobid>Cancel a job from the queue
scontrol hold <jobid>Puts a job on hold in the queue.
scontrol release
Releases a job from hold
scontrol update
Change attributes of submitted job.
scontrol requeue
Requeue a running, suspended, or finished Slurm batch job into pending state.
scontrol show job <jobid>Produce a very detailed report for the job.
sacct -k, --timelimit-minOnly send data about jobs with this time limit.
sacct -A account_listDisplay jobs when a comma separated list of accounts are given as the argument.
sstatDisplay information about CPU, Task, Node, Resident Set Size, and Virtual Memory
sshareDisplay information about shared for a user, a repo, a job, a partition, etc.
sprioDisplay information about a job's scheduling priority from multi-factor priority components.

Submit a job:

> sbatch [opts] job_script> salloc [opts] <command> (interactive job)
where:
[opts] --> --nodes=<nodes_no> --ntasks-per-node=<tasks_per_node_no> --account=<account_no> --partition=<name> ...

job_script is a SLURM batch job.

The second command is related to a so-called"Interactive job": with salloc the user allocates a set of resources (nodes, cores, etc). The job is queued and scheduled as anySLURM batch job, but when executed with srun, the standard input, output, and error streams of the job are connected to the terminal session in whichsalloc is running. When the job begins its execution, all the input to the job is taken from the terminal session. You can use CTRL-D or "exit" to close the session.
If you specify a command at the end of your salloc string (like "./myscript"), the job will simply execute the command and close, prompting the standard output and error directly on your working terminal.

salloc -N 1 --ntask-per-node 8 # here I'm asking for a compute node with 1 GPU and 8 core
squeue -u $USER # can be used to check remote allocation is ready
hostname # will run on the front-end NOT ON ALLOCATED RESOURCES
srun hostname # will run on allocated resources showing the name of remote compute node
exit # ends the salloc allocation

WARNING: interactive jobs with SLURM are quite delicate. With salloc, your prompt won't tell you that you are working on a compute node, so it can be easy to forget that there is an interactive job running. Furthermore, deleting the job with "scancel" while inside the job itself will not boot you out of the nodes, and will invalid your interactive session because every command is searching for a jobid that doesn't exist anymore. If you are stuck in this situation, you can always revert back to your original front-end session with "CTRL-D" or "exit".

WARNING: interactive jobs may also be created launching the command

srun -N 1 --ntask-per-node 8 ... --pty /bin/bash

but be careful because in this case SLURM will allocate all the requested resources to the interactive step job. Therefore any srun comman launched inside the interactive job will be stuck due to the absence of available resources. We suggest you to use salloc to create interactive jobs. As alternative you can use the flag --overlap on the srun commands inside the interactive job allowing all the steps to share resources each other. See also our FAQ.

Displaying Job Status:

> squeue (lists all jobs, default format)
> squeue --format=... (lists all jobs, more readable format)
> squeue -u $USER (lists only jobs submitted by you)
> squeue --job <job_id> (only the specified job)
> squeue --job <job_id> -l (full display of the specified job)
> scontrol show job <job_id> (detailed informations about your job)

Displaying Queue Status:

The command sinfo displays information about nodes and partitions (queues).

It offers several options - here is a template that you may find useful.

> sinfo -o "%20P %10a %10l %15F %10z"

Display a straight-forward summary: available partitions, their status, timelimit, node information with A/I/O/T ( allocated, idle, other, total ) and specifications S:C:T (sockets:cores:threads)
Numbers represent field length and should be used to properly accommodate the data.

Other useful options are:

> sinfo
> sinfo -p <partition> (Long format of the specified partition, eg gll_usr_prod)
> sinfo -d (Information about the offline nodes. The list of available partition is also easier to read)
> sinfo --all (Displays more details)
> sinfo -i <n> (Top-like display, iterates every "n" seconds)
> sinfo -l or --long (Displays several additional information, such as the reason why specific nodes are down/drained. Usually used together with -N)
> sinfo -n <node>
(Shows information about a specific node, eg sinfo -N -n r033c01s01)

To view a complete list of all options and their descriptions, use man sinfo, or access theSchedMD webpage.

Delete a job:

> scancel <jobID> 

More information about these commands is available with themancommand.

The User Environment

There are a number of environment variables provided to theSLURM job. Some of them are taken from the user's environment and carried with the job. Others are created by SLURM.

All SLURM-provided environment variable names start with the charactersSLURM_.

Below are listed some of the more useful variables, and some typical values taken as an example:

SLURM_JOB_NAME=jobSLURM_NNODES (or SLURM_JOB_NUM_NODES)=2SLURM_JOBID (or SLURM_JOB_ID)=453919SLURM_JOB_NODELIST=node1,node2,...SLURM_SUBMIT_DIR=/marconi_scratch/userexternal/usernameSLURM_SUBMIT_HOST=node1SLURM_CLUSTERNAME=cluster1SLURM_JOB_PARTITION=partition1

There are a number of ways that you can use these environment variables to make more efficient use of SLURM. For example,SLURM_JOB_NAMEcan be used to retrieve the SLURM jobname. Another commonly used variable isSLURM_SUBMIT_DIRwhich contains the name of the directory from which the user submitted the SLURM job.

WARNING: $SLURM_JOB_NODELIST will display the node names in contracted forms, meaning that for consecutive nodes you will get their range instead of the full list. You will see in square brackets the ID of the first and the last node of the chunk, meaning that all the nodes between them are also part of the actual node list.

Job TMPDIR:

When a job starts, a temporary area is defined on the storage local to each compute node:

TMPDIR=/scratch_local/slurm_job.$SLURM_JOB_ID

which can be usedexclusively by the job's owner. During your jobs, you can access the area with the (local) variable $TMPDIR. The directory is removed at the end of the job, hence remember to save the data stored in such area to a permanent directory. Please note that the area is located on local disks, so it can be accessed only by the processes running on the node. For multinode jobs, if you need all the processes to access some data, please use the shared filesystems $HOME, $WORK, $CINECA_SCRATCH.

SLURM Resources

A job requests resources through the SLURM syntax; SLURM matches requested resources with the available ones, according to the rules defined by the administrator. When the resources are allocated to the job, the job can be executed.

There are different types of resources, i.e. server level resources, like walltime, chunk resources, like number of cpus or nodes, and generic resource (GRES) like GPUs on the systems that have them.

Other resources may be added to manage access to software resources, for example when resources are limited and the lack of availability leads to jobs abort when they are scheduled for execution. More details may be found in the module help of the application you are trying to execute.

The syntax of the request depends on the type of resource:

#SBATCH --<resource>=<value> (server level resources, e.g. walltime)#SBATCH --<chunk_resource>=<value> (chunk resources, e.g. cpus, nodes,...)
#SBATCH --gres=gpu:<value> (generic resources, e.g. gpus)


For example:

#SBATCH --time=10:00:00#SBATCH --ntasks-per-node=1
#SBATCH --gres=gpu:2

Resources can be required either:

1) usingSLURM directives in the job script

2) using options of thesbatch/salloccommand

SLURM job script and directives

A SLURM job script consists of:

  • An optional shell specification
  • SLURM directives
  • Tasks -- programs or commands to be executed

Once ready, the job must be submitted to SLURM:

> sbatch [options] <name of script>

Theshellto be used by SLURM is defined in the first line of the job script (mandatory!):

#!/bin/bash (or #!/bin/sh)

The SLURM directivesare used to request resources or set attributes. A directive begins with the default string#SBATCH. One or more directives can follow the shell definition in the job script.

Thetaskscan be programs or commands. This is where the user specifies the application to run.

SLURM directives: resources

The type of resources required for a serial or parallel MPI/OpenMP/mixed job must be specified witha SLURM directive:

#SBATCH --<chunk_resource>=<value>

where <chunk_resource> can be one of the following:

  • --nodes=NN number of nodes
  • --ntasks-per-node=CC number of tasks/processes per node
  • --cpus-per-task=TT number ofthreads/cpus pertask

For example for a MPI or MPI/OpenMP mixed job (2 MPI processes and 8 threads):

#SBATCH --nodes=2 
#SBATCH --ntasks-per-node=8

For a serial job for example:

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1

SLURM directives: processing time

Resources such as computing time must be requested by this syntax:

#SBATCH --time=<value>

where<value>expresses the actual elapsed time (wall clock) in the formathh:mm:ss

for example:

#SBATCH --time=1:00:00 (one hour)

Please note that there are specific limitations on the maximum walltime on a system, also depending on the partition. Check the system specific guide for more information.

SLURM directives: memory allocation

The default memory depends on the partition/queue you are working with. Usually we set it as the Total Memory of the Node divided by the total number of cores in a single node that we call here memory-per-core. So if you request 3 cores by default you would get the equivalent of 3 times the memory-per-core. Alternatively, youcan specify the requested memory with the--mem=<value> directive up to maximum memory available on the nodes.

#SBATCH --mem=10000

The default measurement unit for memory requests is the Megabyte (in the example above, we are requesting for 10000MB per node). It is possible to ask for an amount of memory expressed in GB, like this:

#SBATCH --mem=10GB

However, the default request method in MB is preferable, since the memory limits defined for any partition are expressed in these terms. For example, Marconi SkyLake partition has 182000MB as a limit, corresponding to approx. 177GB.

Please note: if you are requiring a larger memory with respect to the "main amount" for the system, the number of "effective cores" and the cost of your job could increase. For more information check the accounting section.

SLURM directives: MPI tasks/OpenMP threads affinity

You may have to modify the default affinity, in order to ensure optimal performances on A3 Marconi.

The slurm directives that concern the processes binding are the following:

--cpu-bind=<cores|threads>
--cpus-per-task=<physical or logical cpus number to allocate for single task>

In order to modify them correctly, we suggest to follow our guidelines.

Other SLURM directives

#SBATCH --account=<account_no> --> name of the project to be accounted to ("saldo -b" for a list of projects)
#SBATCH --job-name=<name> --> job name
#SBATCH --partition=<destination> --> partition/queue destination. For a list and description of available partitions, please refer to the specific cluster description of the guide.
#SBATCH --qos=<qos_name> --> quality of service. Please refer to the specific cluster description of the guide.
#SBATCH --output=<out_file> --> redirects output file (default, if missing, is slurm-<Pid> containing merged output and error file)
#SBATCH --error=<err_file> --> redirects error file (as above)
#SBATCH --mail-type=<mail_events> --> specify email notification (NONE, BEGIN, END, FAIL, REQUEUE, ALL)
#SBATCH --mail-user=<user_list> --> set email destination (email address)

Directives in contracted form

Some SLURM directives can be written with a contracted syntax. Here are all the possibilities:

#SBATCH -N <NN> --> #SBATCH --nodes=<NN>
#SBATCH -c <TT> --> #SBATCH --cpus-per-task=<TT>
#SBATCH -t <value> --> #SBATCH --time=<value>
#SBATCH -A <account_no> --> #SBATCH --account=<account_no>
#SBATCH -J <name> --> #SBATCH --job-name=<name>
#SBATCH -p <destination> --> #SBATCH --partition=<destination>
#SBATCH -q <qos_name> --> #SBATCH --qos=<qos_name>
#SBATCH -o <out_file> --> #SBATCH --output=<out_file>
#SBATCH -e <err_file> --> #SBATCH --error=<err_file>

Note: the directives --mem, --mail-type, --mail-user and --ntasks-per-node can't be contracted. About the latter, it exists a SLURM directive "-n" for the number of tasks, but it can be misleading since it is used to indicate the TOTAL number of tasks and not the number of tasks per node. Therefore, it is not recommended since it can lead to confusion and unexpected behaviour. Use of the uncontracted --ntasks-per-node is recommended instead.

Using sbatch attributes to assign job attributes and resource request

It is also possible to assign the job attributes using thesbatchcommand options:

> sbatch [--job-name=<name>] [--partition=<queue/partition>] [--out=<out_file>] [--err=<err_file>] [--mail-type=<mail_events>] [--mail-user=<user_list>] <name of script>

And the resources can also be requested using thesbatchcommand options:

> sbatch [--time=<value>] [-ntasks=<value>] [--account=<account_no>] <name of script>

The sbatch command options override script directives if present.

Examples

Serial job script

For a typical serial job you can take the following script as a template, and modify it depending on your needs.

The script asks for 10 minutes wallclock time and runs a serial application (R). The input data are in file "data", the output file is "out.txt"; job.out will contain the std-out and std-err of the script. The working directory is $CINECA_SCRATCH/test/.

The account number (#SBATCH --account) is required to specify the project to be accounted for. To find out the list of your account number/s, please use the "saldo -b" command.

#!/bin/bash
#SBATCH --time=00:10:00
#SBATCH --nodes=1 --ntasks-per-node=1 --cpus-per-task=1
#SBATCH --mem=10000
#SBATCH --out=job.out
#SBATCH --account=<account_no>
cd $CINECA_SCRATCH/test/ 
module load autoload r
R < data > out.txt

Serial job script with specific queue request

This script is similar to the previous one but asks for the explicit serial partition on Marconi (that is the default).

#!/bin/bash#SBATCH --out=job.out#SBATCH --time=00:10:00#SBATCH --nodes=1 --ntasks-per-node=1 --cpus-per-task=1#SBATCH --account=<my_account>
#SBATCH --partition=bdw_all_serial
#
cd $CINECA_SCRATCH/test/
cp /gss/gss_work/DRES_my/* .

MPI job script

For a typical MPI job you can take one of the following scripts as a template, and modify it depending on your needs.

In this example we ask for 8 tasks, 2 SKL nodes and 1 hour of wallclock time, and runs an MPI application (myprogram) compiled with the intel compiler and the mpi library. The input data are in file "myinput", the output file is "myoutput", the working directory is where the job was submitted from. Through “–cpus-per-task=1” istruction each task will bind 1 physical cpu (core). This is a default option.

##################################
#!/bin/bash#SBATCH --time=01:00:00#SBATCH --nodes=2#SBATCH --ntasks-per-node=4
#SBATCH --ntasks-per-socket=2
#SBATCH --cpus-per-task=1#SBATCH --mem=<mem_per_node>
#SBATCH --partition=<partion_name>#SBATCH --qos=<qos_name>#SBATCH --job-name=jobMPI#SBATCH --err=myJob.err #SBATCH --out=myJob.out #SBATCH --account=<account_no>

module load intel intelmpisrun myprogram < myinput > myoutput

##################################

For SKL users an useful option may be to consider --cpu-bind=cores when the number of tasks requested is less than 48 cores per node. More details can be found at this page.

OpenMP job script

For a typical OpenMPI job you can take one the following scripts as a template, and modify it depending on your needs.

Nodes without hyperthreading

Here we ask for a single node and a single task, thus allocating 48 physical cpus for SKL or 36 for Galileo. With the export of OMP_NUM_THREADS we are setting 48 or 36 OperMP threads for the single task.

##################################
#!/bin/bash
#SBATCH --time=01:00:00

#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=48 or 36

#SBATCH --partition=<partition_name>#SBATCH --qos=<qos_name>#SBATCH --mem=<mem_per_node>#SBATCH --out=myJob.out #SBATCH --err=myJob.err #SBATCH --account=<account_no>

module load intel
export OMP_NUM_THREADS=48 or 36srun myprogram < myinput > myoutput###################################

MPI+OpenMP job script

For a typical hybrid job you can take one the following scripts as a template, and modify it depending on your needs.

Nodes without hyperthreading

For example the script asks for 8 MPI tasks, 2 nodes and 4 OpenMP threads for task, 1 hours of wallclock time. The application (myprogram) was compiled with the intel compiler and the openmpi library. The input data are in file "myinput", the output file is "myoutput", the working directory is where the job was submitted from.

###################################
#!/bin/bash#SBATCH –time=01:00:00#SBATCH --nodes=2#SBATCH --ntasks-per-node=4
#SBATCH --ntasks-per-socket=2
#SBATCH --cpus-per-task=4#SBATCH --mem=<mem_per_node>#SBATCH --partition=<partition_name>#SBATCH --qos=<qos_name>#SBATCH --job-name=jobMPI#SBATCH --err=myJob.err #SBATCH --out=myJob.out #SBATCH --account=<account_no>
module load intel intelmpiexport OMP_NUM_THREADS=4
export OMP_PLACES=coresexport OMP_PROC_BIND=true
srun myprogram < myinput > myoutput
###################################

For SKL users an useful option may be to consider --cpu-bind=cores when the number of tasks requested is less than 48 cores per node. More details can be found at this page.

Running Hybrid MPI/OpenMP code with pure MPI job

If you would like to run a MPI code compiled with OpenMP flags as a pure MPI code, OMP_NUM_THREADS needs to be set to 1 explicitly. Otherwise, it will run with 4 OpenMP threads, since the default behavior for Intel and GNU compilers is to use max available threads.

###################################
#!/bin/bash#SBATCH –time=01:00:00#SBATCH --ntasks-per-node=4#SBATCH --nodes=2 #SBATCH --partition=<partition_name>#SBATCH --qos=<qos_name>#SBATCH --mem=86000#SBATCH --out=myJob.out #SBATCH --err=myJob.err #SBATCH --account=<account_no>
module load intelexport OMP_NUM_THREADS=1
srun myprogram < myinput > myoutput
###################################

Chaining multiple jobs

In some cases, you may want to chain multiple jobs together, for example, so that the output of a run can be used as input of the next run. This is typical when you perform Molecular Dynamics Simulations and you want to obtain a long trajectory from multiple simulation runs.

In order to exploit this feature you need to submit your jobs using the sbatch option "-d" or "--dependency" to submit dependent jobs using SLURM. In the following lines we will show an example when the second job will run only when the first job runs successfully:

> sbatch job1.cmd
submitted batch job 100
> sbatch -d afterok:100 job2.cmd
submitted batch job 101

Alternatively:

> sbatch job1.cmd
submitted batch job 100
> sbatch --dependency=afterok:100 job2.cmd
submitted batch job 102

The available options for -d or --dependency are:
afterany:job_id[:jobid...], afternotok:job_id[:jobid...], afterok:job_id[:jobid...], ... etc..
See the sbatch man page for more detail.

High throughput Computing with SLURM

Array jobs are an efficient way to perform multiple similar runs, either serial or parallel, by submitting a unique job. The maximum allowed number of runs in an array job depends on the cluster.Job arrays are only supported for batch jobs and the array index values are specified using the "--array" or "-a" option of the sbatch command. The option argument can be specific array index values, a range of index values, and optional step size.

In the following examples, 20 serial runs with index values between 0 and 20 are submitted, and job.cmd is a SLURM batch script:

>sbatch --array=0-20 -N1 job.cmd

(-N1 is the equivalent of "--nodes=1")

Alternatively, to submit a job array with index values of 1, 3, 5 and 8:

>sbatch --array=1,3,5,8 -N1 job.cmd

To submit a job array with index values in the range 1 and 7 with a step size of 2 (i.e. 1,3,5, and 7):

>sbatch --array=1-7:2 -N1 job.cmd

When submitting a job array using SLURM you will have five additional environment variables set:

SLURM_ARRAY_JOB_ID will be set to the first job ID of the array.

SLURM_ARRAY_TASK_ID will be set to the job array index value.

SLURM_ARRAY_TASK_COUNT will be set to the number of tasks in the job array.

SLURM_ARRAY_TASK_MAX will be set to the highest job array index value.

SLURM_ARRAY_TASK_MIN will be set to the lowest job array index value.

As an exemple, let’s assume a job submission like this:

>sbatch --array=1-3 -N1 job.cmd

This will generate a job array consisting of three jobs. If you submit the command above and assuming the sbatch command returns:

> Submitted batch job 100

(where 100 is an example of a job_id)

Then you will have the following environment variables:

SLURM_JOB_ID=100
SLURM_ARRAY_JOB_ID=100
SLURM_ARRAY_TASK_ID=1
SLURM_ARRAY_TASK_COUNT=3
SLURM_ARRAY_TASK_MAX=3
SLURM_ARRAY_TASK_MIN=1

SLURM_JOB_ID=101
SLURM_ARRAY_JOB_ID=100
SLURM_ARRAY_TASK_ID=2
SLURM_ARRAY_TASK_COUNT=3
SLURM_ARRAY_TASK_MAX=3
SLURM_ARRAY_TASK_MIN=1

SLURM_JOB_ID=102
SLURM_ARRAY_JOB_ID=100
SLURM_ARRAY_TASK_ID=3
SLURM_ARRAY_TASK_COUNT=3
SLURM_ARRAY_TASK_MAX=3
SLURM_ARRAY_TASK_MIN=1

All SLURM commands and APIs recognize the SLURM_JOB_ID value. Most commands also recognize the SLURM_ARRAY_JOB_ID plus SLURM_ARRAY_TASK_ID values separated by an underscore as identifying an element of a job array. Using the example above, "101" or "100_2" would be equivalent ways to identify the second array element of job 100.


Two additional options are available to specify a job's stdin, stdout, and stderr file names:
%A will be replaced by the value of SLURM_ARRAY_JOB_ID (as defined above) and %a will be replaced by the value of SLURM_ARRAY_TASK_ID (as defined above). The default output file format for a job array is "slurm-%A_%a.out". An example of explicit use of the formatting is:

>sbatch -o slurm-%A_%a.out --array=1-3 -N1 tmp

Some useful commands to manage job arrays

scancel

If the job ID of a job array is specified as input of the scancel command, then all elements of that job array will be canceled. Alternately an array ID, optionally using regular expressions, may be specified for job cancellation.
To cancel array ID 1 to 3 from job array 100:

> scancel 100_[1-3]

To cancel array ID 4 and 5 from job array 100:

> scancel 100_4 100_5

To cancel all elements from job array 100:

> scancel 100

scontrol

The use of the scontrol show job option shows two new fields related to job array support. The JobID is a unique identifier for the job. The ArrayJobID is the JobID of the first element of the job array. The ArrayTaskID is the array index of this particular entry, either a single number of an expression identifying the entries represented by this job record (e.g. "5-1024").

The scontrol command will operate on all elements of a job array if the job ID specified is ArrayJobID. Individual job array tasks can be modified using the ArrayJobID_ArrayTaskID as shown below. A few examples below:

> scontrol update JobID=100_2 name=my_job_name
> scontrol suspend 100
> scontrol resume 100
> scontrol suspend 100_3
> scontrol resume 100_3

squeue

When a job array is submitted to SLURM, only one job record is created. Additional job records will only be created when the state of a task in the job array changes, typically when a task has allocated resources or its state is modified using the scontrol command. By default, the squeue command will report all of the tasks associated with a single job record on one line and use a regular expression to indicate the "array_task_id" values.
An option of "--array" or "-r" can also be added to the squeue command to print one job array element per line.
The squeue --step/-s and --job/-j options can accept job or step specifications of the same format:

> squeue -j 100_2,100_3
> squeue -s 100_2.0,100_3.0

Further documentation

More specific information about partitions and qos (quality of service), limits and available features are described on the "system specific" pages of this Guide, forMARCONI, MARCONI100 and GALILEO100, as well as "man" pages about SLURM commands:

> man sbatch
> man squeue
> man sinfo
> man scancel
> man ...

FAQs

How do I submit a batch job in Slurm? ›

Note: the term "job" is used throughout this documentation to mean a "batch job". There are two ways of submitting a job to SLURM: Submit via a SLURM job script - create a bash script that includes directives to the SLURM scheduler. Submit via command-line options - provide directives to SLURM via command-line ...

How do I submit a job to cluster? ›

In order to submit work to the cluster we must first put together a job script which tells Slurm what resources you require for your application. In addition to resources, we need to tell Slurm what command or application to run. A SLURM job script is a bash shell script with special comments starting with “#SBATCH”.

How does Slurm scheduler work? ›

First, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time so they can perform work. Second, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes.

Where do you write Slurm scripts? ›

These scripts are also located at: /data/training/SLURM/, and can be copied from there. If you choose to copy one of these sample scripts, please make sure you understand what each #SBATCH directive before before using the script to submit your jobs.

How do I create a batch job for delivery? ›

Create the batch job

Select New. In the Job description field, enter a description of the batch job. In the Scheduled start date/time field, enter the date and time when the batch job should run. Select Save.

How do you write a batch job in C#? ›

When you make your own batch job, the first thing you do is call OpenLog(). The last thing you do when you're done is call CloseLog(). In between, you can write to the log using the WriteToLog(string) method. All that's left for you to do is add your own code.

How do I schedule a batch job? ›

Schedule a Batch Job
  1. Click. ...
  2. In the Quick Find box, search and select Flow.
  3. Click New.
  4. In the New Flow modal, select Schedule-Triggered Flow.
  5. Select a layout of your choice.
  6. Drag the Action element onto the canvas.
  7. Complete the following steps in the New Action modal, and click Done:

How do I submit a job to JCL? ›

Procedure
  1. Allocate a data set to contain your JCL. Use ISPF (or equivalent function) to allocate a data set named userid . ...
  2. Edit the JCL data set and add the necessary JCL. ...
  3. Submit the JCL to the system as a job. ...
  4. View and understand the output from the job. ...
  5. Make changes to your JCL. ...
  6. View and understand your final output.

How do I submit an array job? ›

Submitting an Array Job From the Command Line

To submit an array job from the command line, type the qsub command with appropriate arguments. The -t option defines the task index range. In this case, 2-10:2 specifies that 2 is the lowest index number, and 10 is the highest index number.

Is Slurm a job scheduler? ›

The Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), or simply Slurm, is a free and open-source job scheduler for Linux and Unix-like kernels, used by many of the world's supercomputers and computer clusters.

What are Slurm commands? ›

The slurmd daemons provide fault-tolerant hierarchical communications. The user commands include: sacct, sacctmgr, salloc, sattach, sbatch, sbcast, scancel, scontrol, scrontab, sdiag, sh5util, sinfo, sprio, squeue, sreport, srun, sshare, sstat, strigger and sview. All of the commands can run anywhere in the cluster.

How do I know if my job is running in Slurm? ›

You can see all jobs running under the account by running squeue -A account_name and then find out more information on each job by scontrol show job <jobid> .

What is a submission script? ›

A submission script is a file listing the options and execution steps you “submit” to cluster to schedule and run. The Asha cluster uses the Slurm Job Scheduler. Here is a sample script to compile and run a basic MPI program. #!/bin/bash.

How do I submit a python job on Slurm? ›

Example 1
  1. Step 1 - Create a directory. Create a directory called slurm-test in your home directory. ...
  2. Step 2 - Create Job Script. Create the job script file test.sh using any text editor.
  3. Step 3 - Make the Job Script Executable. ...
  4. Step 4 - Submit the Job. ...
  5. Step 5 - Monitor the Job.

Where do I put system scripts? ›

To run a script as a scheduled task, you must place the system script file in the FileMaker Server Scripts folder:
  1. •Windows: [drive]:\Program Files\FileMaker\FileMaker Server\Data\Scripts\
  2. •macOS: /Library/FileMaker Server/Data/Scripts/
  3. • You must include error-handling and branching logic in your system scripts. ...
  4. • ...
  5. • ...

How do you schedule a batch job every 30 minutes? ›

How to Schedule a Batch Job every 30 Minutes
  1. Create a class that implements the Batchable and Schedulable interfaces.
  2. Connect to the Developer Console.
  3. Go to Debug / Open Execute Anonymous Window.
  4. Enter this code and execute it.
  5. Monitor your scheduled jobs.
10 Nov 2015

What is a batch job Example? ›

In a computer, a batch job is a program that is assigned to the computer to run without further user interaction. Examples of batch jobs in a PC are a printing request or an analysis of a Web site log. In larger commercial computers or servers, batch jobs are usually initiated by a system user.

What is batch work process? ›

Batch processing is for those frequently used programs that can be executed with minimal human interaction. A program that reads a large file and generates a report, for example, is considered to be a batch job.

How do I run a batch script? ›

Executing Batch Files
  1. Step 1 − Open the command prompt (cmd.exe).
  2. Step 2 − Go to the location where the . bat or . cmd file is stored.
  3. Step 3 − Write the name of the file as shown in the following image and press the Enter button to execute the batch file.

How do you create a batch file? ›

To create a Windows batch file, follow these steps: Open a text file, such as a Notepad or WordPad document. Add your commands, starting with @echo [off], followed by, each in a new line, title [title of your batch script], echo [first line], and pause. Save your file with the file extension BAT, for example, test.

What is a batch job scheduler? ›

A job scheduler is a computer application for controlling unattended background program execution of jobs. This is commonly called batch scheduling, as execution of non-interactive jobs is often called batch processing, though traditional job and batch are distinguished and contrasted; see that page for details.

How do I submit a batch job to AWS? ›

To submit a job

Open the AWS Batch console at https://console.aws.amazon.com/batch/ . From the navigation bar, select the AWS Region to use. In the navigation pane, choose Jobs, Submit job.

What are three examples of batch? ›

Some examples of batch processes are beverage processing, biotech products manufacturing, dairy processing, food processing, pharmaceutical formulations and soap manufacturing.

Can you submit a JCL created by some other user? ›

The user does not necessarily need access to the data sets the job uses, only to the data set containing the JCL. You can give the surrogate user this access by either sending a copy of the data set or giving the surrogate user READ access to it.

How do I run a batch job in mainframe? ›

Mainframes working after hours: Batch processing. Batch applications are processed on the mainframe without user interaction. A batch job is submitted on the computer; the job reads and processes data in bulk— perhaps terabytes of data— and produces output, such as customer billing statements.

What is DD * in JCL? ›

Reusable JCL collection. Data definition (DD) statements define the data sets that a program or procedure uses when it runs. You must code one DD statement for each data set that is used or created within a job step. The order of DD statements within a job step is not usually significant.

What is the use of array fill () method? ›

Array.prototype.fill() The fill() method changes all elements in an array to a static value, from a start index (default 0 ) to an end index (default array.length ). It returns the modified array.

What is a task in slurm? ›

Tasks are processes that a job executes in parallel in one or more nodes. sbatch allocates resources for your job, but even if you request resources for multiple tasks, it will launch your job script in a single process in a single node only. srun is used to launch job steps from the batch script.

How do you insert an array? ›

First get the element to be inserted, say x. Then get the position at which this element is to be inserted, say pos. Then shift the array elements from this position to one position forward(towards right), and do this for all the other elements next to pos.

How do I schedule a job in node JS? ›

Scheduling a Simple Task with node-cron

Input the following code into the index. js file to create our simple task scheduler: const cron = require("node-cron"); const express = require("express"); const app = express(); cron. schedule("*/15 * * * * *", function () { console.

How do I make a reservation on Slurm? ›

Reservations can be created, updated, or destroyed only by user root or the configured SlurmUser using the scontrol command. The scontrol and sview commands can be used to view reservations. The man pages for the various commands contain details.

How do I add a node to a Slurm? ›

If you are using SLURM for your job scheduler

And add a line for each type of GPU node. At the bottom, extend the NodeName= to include the additional nodes or add a new line if the nodes are different. Then from the head node, restart the services. Enable and start the slurm daemon on the new compute nodes.

What is Sbatch command? ›

sbatch submits a batch script to Slurm. The batch script may be given to sbatch through a file name on the command line, or if no file name is specified, sbatch will read in a script from standard input. The batch script may contain options preceded with "#SBATCH" before any executable commands in the script.

What are Slurm files? ›

conf is an ASCII file which describes general Slurm configuration information, the nodes to be managed, information about how those nodes are grouped into partitions, and various scheduling parameters associated with those partitions. This file should be consistent across all nodes in the cluster.

How do you check nodes in Slurm? ›

SLURM offers a variety of tools to check the general status of nodes/partitions in a cluster.
  1. sinfo. The sinfo command will show you the status of partitions in the cluster. ...
  2. scontrol. The scontrol command can be used to view the status/configuration of the nodes in the cluster. ...
  3. sacctmgr.
22 Apr 2022

How do I know if a batch job is running? ›

Monitor Your Batch Jobs
  1. Click. ...
  2. In the Quick Find box, search and select Monitor Workflow Services. ...
  3. Select the batch job run instance that you want to view. ...
  4. On the Details tab, view the details of the batch job. ...
  5. To view the list of all batch job parts that were run, view the Tasks tab.

How can I check my job status? ›

Once you know the company, you should visit their website and find a job search page. The company may have a way for you to check your status on their website, or it may be in your best interest to call in. You can call the company and ask if there is a way to check the status of an application that has been submitted.

How do I find my job ID? ›

The job IDs can be displayed using the jobs command, the -l switch displays the PID as well. Some kill implementations allow killing by job ID instead of PID. But a more sensible use of the job ID is to selectively foreground a particular process.

How do I start writing a submit? ›

6 Things to Consider When Submitting to a Literary Journal
  1. Select a piece of writing you are proud of. ...
  2. Submit to appropriate publications. ...
  3. Consider the tier of the publication to which you submit. ...
  4. Pay attention to submission guidelines. ...
  5. Pay the fee. ...
  6. Know the process for withdrawing a submission.
30 Aug 2021

What is a call for submission? ›

What is a Call for Submissions? A Call for Submissions is a request for people to send in submissions (of written work, visual art, or multimedia) following a set of guidelines (which can be loose or strict, depending on your requirements).

What is a submission link? ›

A submission link allows the other person to send you a digital package using IBM Aspera high-speed transfer technology. A submission link is a feature of the Packages app. Use a submission link to ask others to send a package as follows: To you as an individual.

How do I run Slurm in Matlab? ›

Install and Configure MATLAB Parallel Server for Slurm
  1. Activate Your MATLAB Parallel Server License.
  2. Get the Installation Files.
  3. Install License Manager.
  4. Install Software on Compute Nodes.
  5. Install Software on Local Desktop.
  6. Configure Client Machine.
  7. Validate the Cluster Profile.
  8. Run Parallel Code.

What is Slurm account? ›

Slurm accounts are different from login accounts (Nexus/WatIAM). accounts in Slurm are used to track resource utilization so Slurm can manage limits on certain users or groups of users. Slurm accounts in association with Slurm partitions and Slurm QoS objects are used to control/limit access to cluster resourcess.

How do you add people on Slurm? ›

  1. To add a user to your lab's Slurm account do: [user@login-x:~]$ sacctmgr add user <username> account=<account_name>
  2. To remove a user from your lab's Slurm charge account do: [user@login-x:~]$ sacctmgr remove user where user=<username> account=<account_name>
11 Nov 2021

How do I run a script on a server? ›

Procedure
  1. Right-click on a file in the navigator view.
  2. Select Run.... The run wizard opens. Select the file that you want to run. Select the server that you want to run the script on. Specify a file to be used as input for the script, if needed.
  3. Click Apply. Click Run.

How do I enable system scripts? ›

  1. Open Run Command/Console ( Win + R )
  2. Type: gpedit.msc (Group Policy Editor)
  3. Browse to Local Computer Policy -> Computer Configuration -> Administrative Templates -> Windows Components -> Windows Powershell.
  4. Enable "Turn on Script Execution"
  5. Set the policy as needed. I set mine to "Allow all scripts".
27 Oct 2010

How do I run a batch job in node JS? ›

Typically, for a batch job, we need some process to run based on some schedule. Using the 'Cron' package, we will define one of our NodeJS function to be executed based on schedule.
...
js can be seen as below,
  1. var CronJob = require('cron'). CronJob;
  2. new CronJob('* * * * * *', function() {
  3. console. ...
  4. }, null, true, '');
14 Mar 2017

How do I grant logon for a batch job? ›

Knowledge Base
  1. Go to the Start menu.
  2. Type secpol.msc. and press Enter.
  3. The Local Security Policy manager opens.
  4. Go to Security Settings - Local Policies - User Rights Assignment node.
  5. Double click Log on as a batch job on the right side.
  6. Click Add User or Group...
  7. Select the user.
  8. Click OK.
21 Aug 2014

How does batch job run? ›

How does batching work? In the simplest terms, a batch job is a scheduled program that is assigned to run on a computer without further user interaction. Batch jobs are often queued up during working hours, then executed during the evening or weekend when the computer is idle.

How do I run a scheduler in Node JS? ›

Scheduling a Simple Task with node-cron

Input the following code into the index. js file to create our simple task scheduler: const cron = require("node-cron"); const express = require("express"); const app = express(); cron. schedule("*/15 * * * * *", function () { console.

How do I run a batch file from a website? ›

Just create a batch file and save in the location where your html file is there. this anchor tag will execute the (test. bat) batch file. After clicking on the link <TEST>, you will get the window prompting to open/save/close, if you will click on open then batch file will be executed.

How do I give a user a batch logon rights? ›

Setting "Log on as batch job" Policy
  1. Click Start → Settings → Control Panel.
  2. Click Administrative Tools.
  3. Open Local Security Policy. The Local Security Settings screen appears.
  4. Click Local Policies → User Rights Assignment.
  5. Double-click Log on as a batch job. ...
  6. Add the user if they do not appear on the list.

How do you schedule batch jobs with system operations framework? ›

Batch jobs
  1. Go to System administration > Inquiries > Batch jobs.
  2. Select New to create a batch job.
  3. In the Job description field, enter a value.
  4. In the Scheduled start date/time field, enter a date and time.
  5. In the Run by field, select the users whose security credentials will be used when the batch job is run.
4 Aug 2022

How do I schedule a batch file in Linux? ›

Procedure
  1. Create an ASCII text cron file, such as batchJob1. txt.
  2. Edit the cron file using a text editor to input the command to schedule the service. ...
  3. To run the cron job, enter the command crontab batchJob1. ...
  4. To verify the scheduled jobs, enter the command crontab -1 . ...
  5. To remove the scheduled jobs, type crontab -r .
27 Jun 2014

How do I run a batch file in Linux? ›

Linux configure batch jobs using at command
  1. => at – executes commands at a specified time.
  2. => atq – lists the user's pending jobs, unless the user is the superuser; in that case, everybody's jobs are listed. ...
  3. => atrm – deletes jobs, identified by their job number. ...
  4. Type command and press ctrl+d to save job.
29 Jan 2007

What is batch submission? ›

Submission Batch means a Batch that is manufactured in order to generate data, results and/or other information to be submitted or intended to be submitted to the FDA for the purpose of seeking the Regulatory Approval for the Product in the Territory.

What are the three phases of batch job? ›

Each batch job contains three different phases: Load and Dispatch. Process. On Complete.

Does Amazon use batch processing? ›

Every Amazon Payment Services merchant has access to batch processing capabilities that enable novel payment processing applications -- and that simplifies routines payment processing tasks.

Top Articles
Latest Posts
Article information

Author: Rueben Jacobs

Last Updated: 02/04/2023

Views: 6028

Rating: 4.7 / 5 (77 voted)

Reviews: 84% of readers found this page helpful

Author information

Name: Rueben Jacobs

Birthday: 1999-03-14

Address: 951 Caterina Walk, Schambergerside, CA 67667-0896

Phone: +6881806848632

Job: Internal Education Planner

Hobby: Candle making, Cabaret, Poi, Gambling, Rock climbing, Wood carving, Computer programming

Introduction: My name is Rueben Jacobs, I am a cooperative, beautiful, kind, comfortable, glamorous, open, magnificent person who loves writing and wants to share my knowledge and understanding with you.