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(Simple Linux Utility for Resource Management) is a software package for submitting, scheduling, and monitoring jobs on large compute clusters. This page details how to use SLURM for submitting and monitoring jobs on ACCRE’s Vampire cluster. These differences are highlighted in. A summary of SLURM commands is shown in. (A great reference for SLURM commands can also be found by. For example, the example below is a simple Python job requesting 6 node, 6 CPU core, 555 MB of RAM, and 7 hours of wall time. In general, #SBATCH options tend to be more self-explanatory. Note that specifying the node ( #SBATCH --nodes=6 ) and CPU core ( #SBATCH --ntasks=6 ) count must be broken off into two lines in SLURM, and that SLURM has no equivalent to #PBS -j oe (SLURM combines standard output and error into a single file by default).

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/bin/bash directive on the first line. The subsequent lines begin with the SLURM directive #SBATCH followed by a resource request or other pertinent job information. Below the #SBATCH directives are the Linux commands needed to run your program or analysis. For reference, the following table lists common Torque options (Torque is the previous job scheduler used at ACCRE, and many Torque/PBS variants are still in use at high-performance computing centers like ACCRE)along side the equivalent option in SLURM. For examples of how to include the appropriate SLURM options for parallel jobs, please refer to.

Note that the --constrain option allows a user to target certain processor families or nodes with a specific CPU core count. All non-GPU groups on the cluster have access to the production and debug partitions. The purpose of the debug partition is to allow users to quickly test a representative job before submitting a larger number of jobs to the production partition (which is the default partition on our cluster). Wall time limits and other policies for each of our partitions are shown below. Just like Torque, SLURM offers a number of helpful commands for tasks ranging from job submission and monitoring to modifying resource requests for jobs that have already been submitted to the queue.

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Below is a list of SLURM commands, as well as the Torque equivalent in the far left column. The sbatch command is used for submitting jobs to the cluster. Slurm ) is shown below: This job (called just_a_test ) requests 6 compute node, 6 task (by default, SLURM will assign 6 CPU core per task), 6 GB of RAM per CPU core, and 65 minutes of wall time (the time required for the job to complete). Optionally, any #SBATCH line may be replaced with an equivalent command-line option.

For instance, the #SBATCH --ntasks=6 line could be removed and a user could specify this option from the command line using: The commands needed to execute a program must be included beneath all #SBATCH commands. Lines beginning with the # symbol (without /bin/bash or SBATCH) are comment lines that are not executed by the shell. The example above simply prints the version of Python loaded in a user’s path. A real job would likely do something more complex than the example above, such as read in a Python file for processing by the Python interpreter.

For more information about sbatch see: http: //slurm. Schedmd. Com/sbatch.

Htmlsqueue is used for viewing the status of jobs. By default, squeue will output the following information about currently running jobs and jobs waiting in the queue:

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