Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. For more information on jupyter notebook, click here.
Jupyter on Cheaha
The cheaha cluster supports Jupyter notebooks for data analysis, but such jobs should be running using the SLURM job submission system to avoid overloading the head node. To run a Jupyter Notebook on cheaha, login to cheaha from your client machine and start an interactive job
srun --ntasks=1 --cpus-per-task=4 --mem-per-cpu=4096 --time=08:00:00 --partition=medium --job-name=JOB_NAME --pty /bin/bash module load Anaconda3/5.2.0 unset XDG_RUNTIME_DIR jupyter notebook --no-browser --ip=$host
The server should start running and provide you with a URL that looks something like this:
Copy/paste this URL into your browser when you connect for the first time, to login with a token: http://c0047:8888/?token=73da89e0eabdeb9d6dc1241a55754634d4e169357f60626c&token=73da89e0eabdeb7d6dc1241a55754634d4e169357f60626c
Now, start up a new tab/terminal/window on your client machine, and relogin to cheaha, using
ssh -L 8888:c00XX:8888 BLAZERID@cheaha.rc.uab.edu
- c00XX is the compute node where you started the jupiter notebook.
- If your jupyter notebook starts on a different port number, then 8888 , then use that in the above command, in place of 8888.
Now access the link generated by jupyter notebook (change c00XX to localhost) on your client machine by opening your browser. It should be running.