![]() Python myFile.py $Īnd I changed my Python code to not use the main for loop, but rather set the variable I was iterating to be retrieved from this input with: var = sys. purge module load gcc/11.3.0 module load python/3.9.12 python script.py. Here is what I did in my SBATCH file for anyone who is curious: #!/bin/bash -l The following sections offer Slurm job script templates and descriptions for. ![]() , inputn for i in inputtasks: expensivefunction (i) I am running the code from a node with high compute and I. The code looks something like this: inputtasks input0, input1. I have a computationally expensive simulation function I am looking to distribute accross a multi-node cluster. UPDATE after following the advice here and spending a lot of time with trial and error to get it right: Running it as a job array was correct. Distributing python code across nodes in slurm. Srun -input none -ntasks=1 python myPythonScriptName.pyĪnd as I said, my python for loop runs just fine in the login node and runs through the iterations. Does SLURM maybe not like that files are output in a loop, and think the first output signifies the end of the task? Then in the next iteration, it does this again for the next year in a list of years. My for loop is basically climate analysis and takes a year of data, runs calculations, and outputs 2 files. Does anyone know how to remedy this? Does it have to do with number of tasks? Can I not run my code as a python for loop in a job under SLURM, does it only handle parallelization? The for loop runs fine on the login node, but as soon as I submit it to the HPC, it only will run the first iteration and then stops. I am submitting a Python script to my school's HPC and having difficulty. This package provides a thin Python layer on top of the Slurm workload manager for submitting Slurm batch scripts into a Slurm queue.
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