Note that a SLURM batch script must begin with the #!/bin/bash directive on the first line. # Pass your Python script to the Anaconda2 python intepreter for execution # numpy, scipy, pandas, scikit-learn, etc. # pre-bundled with many of the popular scientific computing tools like # Load the Anaconda distribution of Python, which comes Note that specifying the node ( #SBATCH -nodes=1 ) and CPU core ( #SBATCH -ntasks=1 ) count must be broken off into two lines in SLURM. For example, the example below is a simple Python job requesting 1 node, 1 CPU core, 500 MB of RAM, and 2 hours of wall time. The script includes a number of #SBATCH directive lines that tell SLURM details about your job, including the resource requirements for your job. The first step for submitting a job to SLURM is to write a batch script, as shown below. SchedMD, the creators of SLURM, have a printable reference as well. ACCRE staff have also created a number of utilities to assist you in scheduling and managing your jobs.Īll the examples on this page can be downloaded from ACCRE’s Github page by issuing the following commands from a cluster gateway: module load GCC gitįor a printable list of SLURM commands, download the ACCRE Cheat Sheet. For more advanced topics, see the page on GPUs, Parallel Processing and Job Arrays. This page describes the basic commands of SLURM. SLURM has been in use for job scheduling since early 2015 previously Torque and Moab were used for that purpose. New cluster users should consult our Getting Started pages, which is designed to walk you through the process of creating a job script, submitting a job to the cluster, monitoring jobs, checking job usage statistics, and understanding our cluster policies. This page details how to use SLURM for submitting and monitoring jobs on ACCRE’s Vampire cluster. SLURM (Simple Linux Utility for Resource Management) is a software package for submitting, scheduling, and monitoring jobs on large compute clusters.
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