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1. ssh into the cluster ssh -X <userID>@sporcsubmit.rc.rit.edu
2. start a sinterative job with the configuration that you will need (e.g. memory, cores, time, gres)
3. load jupyter notebook 
   • spack load py-notebook/hfaavup or the version you require
   • to find other versions use spack find py-notebook
4. start jupyter notebook jupyter notebook --ip=0.0.0.0 --no-browser
   [demo@skl-a-47 ~]$ jupyter notebook --ip=0.0.0.0 --no-browser
   [I 10:47:16.816 NotebookApp] The port 8888 is already in use, trying another port.
   [I 10:47:16.820 NotebookApp] Serving notebooks from local directory: /home/slpits
   [I 10:47:16.820 NotebookApp] The Jupyter Notebook is running at:
   [I 10:47:16.820 NotebookApp] http://skl-a-47.rc.rit.edu:8889/?token=803f723f3d20e5e93d24af7073c822c3e77387ce7e15e5cd
   [I 10:47:16.820 NotebookApp]  or http://127.0.0.1:8889/?token=803f723f3d20e5e93d24af7073c822c3e77387ce7e15e5cd
   [I 10:47:16.820 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
   [C 10:47:16.823 NotebookApp]
   
       To access the notebook, open this file in a browser:
   file:///home/slpits/.local/share/jupyter/runtime/nbserver-27411-open.html
       Or copy and paste one of these URLs:
   http://skl-a-47.rc.rit.edu:8889/?token=803f723f3d20e5e93d24af7073c822c3e77387ce7e15e5cd
        or http://127.0.0.1:8889/?token=803f723f3d20e5e93d24af7073c822c3e77387ce7e15e5cd
   [I 10:56:29.944 NotebookApp] 302 GET /?token=803f723f3d20e5e93d24af7073c822c3e77387ce7e15e5cd (129.21.171.201) 0.50ms
   
   
5. From a new local terminal window ssh into sporcsubmit using the -L flag
   • ssh -L<port ssh  <userID>@sporcsubmit.rc.rit.edu -L <port number>:skl-a-47.rc.rit.edu:<port number> sporcsubmit.rc.rit.edu  in our example the port number = 8889
6. To access the notebook, copy and paste the appropriate URL from the output above into a browser.
   • http://127.0.0.1:8889/?token=803f723f3d20e5e93d24af7073c822c3e77387ce7e15e5cd

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