Workflow
This is a workflow to show how to open jupyter notebook on CRI or RCC. There are some detailed instructions here, CRI’s instructions and More general instructions
On RCC follow these steps
https://rcc.uchicago.edu/docs/software/environments/python/index.html#running-jupyter-notebooks
On Gardner
On remote side (gardner)
log into gardner
$ ssh <username>@gardner.cri.uchicago.edu
on gardner run
$ PATH=/apps/software/gcc-6.2.0/miniconda3/4.7.10/bin:$PATH
$ jupyter notebook --no-browser --port=XXXX
This version of jupyter works, others may fail.
The default port will be 8888, and “–no-browser” is required because if you do not specify –no-browser –ip=, the web browser will be launched on the node and the URL returned cannot be used on your local machine.
If you set port=8889, the result should be like the following:
To access the notebook, open this file in a browser:
file:///home/<username>/.local/share/jupyter/runtime/nbserver-129406-open.html
Or copy and paste one of these URLs:
http://localhost:8889/?token=47871f1a27e41715e04362540f5730611a30b17ae2072827
or http://127.0.0.1:8889/?token=47871f1a27e41715e04362540f5730611a30b17ae2072827
Local machine
Open a new terminal and run the following command.
$ ssh -N -f -L localhost:YYYY:localhost:XXXX <username>@gardner.cri.uchicago.edu
Select any port=YYYY which you haven’t used for other work.
Then open a browser, type in localhost=<YYYY> and copy and paste the token from the last step.
Finally, it should worked out.
On theta
Find notes in notion here