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#!/bin/bash #PBS -N jupyterNotebook #PBS -m abe #PBS -M myEmail@griffithuni.edu.au #PBS -q workq #PBS -l select=1:ncpus=1:mem=12gb,walltime=5:00:00 # get tunneling info XDG_RUNTIME_DIR="" node=$(hostname -s) user=$(whoami) cluster="gc-prd-hpclogin1" port=8889 #### choose your own unique port between 8000 and 9999 cd $PBS_O_WORKDIR # print tunneling instructions jupyter-log echo -e " Command to create ssh tunnel: ssh -N -f -L ${port}:${node}:${port} ${user}@${cluster}.rcs.griffith.edu.au Use a Browser on your local machine to go to: localhost:${port} (prefix w/ https:// if using password)" cd $PBS_O_WORKDIR>jupyter-log.txt # load modules or conda environments here module load anaconda3/20202021.11 source activate myenv # Run Jupyter jupyter-notebook --no-browser --port=${port} --ip=${node} > notebook.log |
This job launches Jupyter on the allocated compute node and we can access it through an ssh tunnel as we did in the previous section.
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