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IPython/Jupyter notebook on Comet
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| #!/bin/bash | |
| #SBATCH --nodes 1 | |
| #### Choose either 1 entire Comet node or just 1 core | |
| #### 1 core is charged 1/24th of a full node but only | |
| #### has ~5GB of RAM. | |
| #### Choose by leaving only 1 # before SBATCH | |
| #### entire node (128GB RAM) | |
| ####SBATCH --ntasks-per-node 24 | |
| ####SBATCH --partition compute | |
| #### just 1 core (5.3GB RAM) | |
| #SBATCH --ntasks-per-node 1 | |
| #SBATCH --partition shared | |
| #SBATCH --time 00:30:00 | |
| #SBATCH --job-name notebook | |
| #SBATCH --output notebook.log | |
| # choose your own unique port between 8000 and 9999 | |
| NOTEBOOKPORT=8181 | |
| # setup tunnel between computing and login node | |
| ssh -N -f -R $NOTEBOOKPORT:localhost:$NOTEBOOKPORT $SLURM_SUBMIT_HOST | |
| # launch the notebook | |
| ipython notebook --port=$NOTEBOOKPORT --no-browser |
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| ssh -f -N -L 8181:localhost:8181 YOURUSERNAME@comet-ln$1.sdsc.edu |
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See full post on http://zonca.github.io/2015/09/ipython-jupyter-notebook-sdsc-comet.html