sbatch | 易学教程

How to pass variables in an sbatch script for multiple job sumissions

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问题 I need to be submitting multiple SLURM jobs at a time, but all of them need to have some common variables which I would like to be able to pass from the command line. What I have in mind is something like this: A command line input which looks like bash MasterScript.sh -variable1 var1 -variable2 var2 where MasterScript.sh would be sbatch JobSubmitter.sh -variable1in var1 -variable2in var2 -version 1 sbatch JobSubmitter.sh -variable1in var1 -variable2in var2 -version 2 sbatch JobSubmitter.sh

How to get the ID of GPU allocated to a SLURM job on a multiple GPUs node?

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问题 When I submit a SLURM job with the option --gres=gpu:1 to a node with two GPUs, how can I get the ID of the GPU which is allocated for the job? Is there an environment variable for this purpose? The GPUs I'm using are all nvidia GPUs. Thanks. 回答1: You can get the GPU id with the environment variable CUDA_VISIBLE_DEVICES . This variable is a comma separated list of the GPU ids assigned to the job. 回答2: Slurm stores this information in an environment variable, SLURM_JOB_GPUS . One way to keep

Specifying SLURM Resources When Executing Multiple Jobs in Parallel

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问题 According to the answers here What does the --ntasks or -n tasks does in SLURM? one can run multiple jobs in parallel via ntasks parameter for sbatch followed by srun . To ask a follow up question - how would one specify the amount of memory needed when running jobs in parallel like so? If say 3 jobs are running in parallel each needing 8G of memory, would one specify 24G of memory in sbatch (i.e. the sum of memory from all jobs) or not give memory parameters in sbatch but instead specify 8G

SLURM Submit multiple tasks per node?

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I found some very similar questions which helped me arrive at a script which seems to work however I'm still unsure if I fully understand why, hence this question.. My problem (example): On 3 nodes, I want to run 12 tasks on each node (so 36 tasks in total). Also each task uses OpenMP and should use 2 CPUs. In my case a node has 24 CPUs and 64GB memory. My script would be: #SBATCH --nodes=3 #SBATCH --ntasks=36 #SBATCH --cpus-per-task=2 #SBATCH --mem-per-cpu=2000 export OMP_NUM_THREADS=2 for i in {1..36}; do srun -N 1 -n 1 ./program input${i} >& out${i} & done wait This seems to work as I

SLURM sbatch job array for the same script but with different input arguments run in parallel

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问题 I have a problem where I need to launch the same script but with different input arguments. Say I have a script myscript.py -p <par_Val> -i <num_trial> , where I need to consider N different par_values (between x0 and x1 ) and M trials for each value of par_values . Each trial of M is such that almost reaches the time limits of the cluster where I am working on (and I don't have priviledges to change this). So in practice I need to run NxM independent jobs. Because each batch jobs has the

SLURM sbatch job array for the same script but with different input arguments run in parallel

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I have a problem where I need to launch the same script but with different input arguments. Say I have a script myscript.py -p <par_Val> -i <num_trial> , where I need to consider N different par_values (between x0 and x1 ) and M trials for each value of par_values . Each trial of M is such that almost reaches the time limits of the cluster where I am working on (and I don't have priviledges to change this). So in practice I need to run NxM independent jobs. Because each batch jobs has the same node/cpu configuration, and invokes the same python script, except for changing the input parameters,

SLURM `srun` vs `sbatch` and their parameters

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I am trying to understand what the difference is between SLURM's srun and sbatch commands. I will be happy with a general explanation, rather than specific answers to the following questions, but here are some specific points of confusion that can be a starting point and give an idea of what I'm looking for. According to the documentation , srun is for submitting jobs, and sbatch is for submitting jobs for later execution, but the practical difference is unclear to me, and their behavior seems to be the same. For example, I have a cluster with 2 nodes, each with 2 CPUs. If I execute srun

SLURM `srun` vs `sbatch` and their parameters

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问题 I am trying to understand what the difference is between SLURM's srun and sbatch commands. I will be happy with a general explanation, rather than specific answers to the following questions, but here are some specific points of confusion that can be a starting point and give an idea of what I'm looking for. According to the documentation, srun is for submitting jobs, and sbatch is for submitting jobs for later execution, but the practical difference is unclear to me, and their behavior seems