This article describes how to execute a Python script on the LANTA HPC system using Miniconda. The following table of contents provides an overview of the article's material, allowing for quick identification of the most relevant sections.
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Slurm script example for running the Python script
Running on Compute node
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#!/bin/bash #SBATCH -p compute # Specify partition [Compute/Memory/GPU] #SBATCH -N 1 -c 128 # Specify number of nodes and processors per task #SBATCH --ntasks-per-node=1 # Specify tasks per node #SBATCH -t 120:00:00 # Specify maximum time limit (hour: minute: second) #SBATCH -A ltxxxxxx # Specify project name #SBATCH -J JOBNAME # Specify job name module load Mamba/23.11.0-0 # Load the conda module conda activate tensorflow-2.12.1 # Activate your environment python3 file.py # Run your program or executable code |
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#!/bin/bash #SBATCH -p gpu # Specify partition [Compute/Memory/GPU] #SBATCH -N 1 -c 16 # Specify number of nodes and processors per task #SBATCH --gpus-per-task=1 # Specify number of GPU per task #SBATCH --ntasks-per-node=4 # Specify tasks per node #SBATCH -t 120:00:00 # Specify maximum time limit (hour: minute: second) #SBATCH -A ltxxxxxx # Specify project name #SBATCH -J JOBNAME # Specify job name module load Mamba/23.11.0-0 # Load the Miniconda3conda module conda activate tensorflow-2.12.1 # Activate your environment python3 file.py # Run your program or executable code |
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1 GPU card: --ntasks-per-node=1, 2 GPU cards: --ntasks-per-node=2, 4 GPU cards: --ntasks-per-node=4 |
Submit a job
Use the sbatch script.sh command to submit your job to the Slurm system.
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Before you use the |
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