Difference between revisions of "HPC:Jupyter"

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The initial setup for Jupyter is a little tricky, but once completed is easy to get up and running again.  
 
The initial setup for Jupyter is a little tricky, but once completed is easy to get up and running again.  
  
This guide will assume that you are using MobaXTerm as your terminal emulator in order to set up SSH tunneling. However, this can also be done via other tools (Powershell, PuTTy, et cetera) but those tools will not be covered in this guide. If you have questions about setting up Jupyter with other tools, please contact the HPC team (or come to office hours!)
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This guide will assume that you are using Windows 10 MobaXTerm as your terminal emulator in order to set up SSH tunneling. However, this can also be done via other tools (Powershell, PuTTy, et cetera) but those tools will not be covered in this guide. If you have questions about setting up Jupyter with other tools, please contact the HPC team (or come to office hours!)
  
 
First, install the Jupyter client.
 
First, install the Jupyter client.

Revision as of 19:41, 17 October 2019

Jupyter Notebook

Currently, the HPC is capable of hosting a Jupyter Notebook workspace in an interactive session. This limits the Jupyter Notebook to an 8 hour session. Please follow these steps to set up your Jupyter Notebook workspace.

The initial setup for Jupyter is a little tricky, but once completed is easy to get up and running again.

This guide will assume that you are using Windows 10 MobaXTerm as your terminal emulator in order to set up SSH tunneling. However, this can also be done via other tools (Powershell, PuTTy, et cetera) but those tools will not be covered in this guide. If you have questions about setting up Jupyter with other tools, please contact the HPC team (or come to office hours!)

First, install the Jupyter client.

[obki@consign ~]$ bsub -Is bash
<< Waiting for dispatch...>>
<<Starting on node059.hpc.local>>
[obki@node059 ~]$ module load python/3.6.3
[obki@node059 ~]$ pip3 install jupyter --user

At this point Jupyter should be installed via pip3. To make sure that it installed properly, run the following command.

[obki@node059 ~]$ ls $HOME/.local/bin/jupyter
/home/obki/.local/bin/jupyter

This regular file should be the output of the ls command. Next, we can start the the Jupyter host from an interactive session using the following command.

[obki@node059 ~]$ $HOME/.local/bin/jupyter notebook --ip `hostname`

[I 16:13:48.696 NotebookApp] Serving notebooks from local directory: /home/obki
[I 16:13:48.696 NotebookApp] The Jupyter Notebook is running at:
[I 16:13:48.696 NotebookApp] http://node059.hpc.local:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff
[I 16:13:48.696 NotebookApp]  or http://127.0.0.1:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff
[I 16:13:48.697 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 16:13:48.707 NotebookApp] No web browser found: could not locate runnable browser.
[C 16:13:48.707 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///home/obki/.local/share/jupyter/runtime/nbserver-19940-open.html
    Or copy and paste one of these URLs:
        http://node059.hpc.local:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff
     or http://127.0.0.1:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff

Next, we have to set up an SSH tunnel to connect to the webpage.

First, open the "Tunnel" feature on MobaXterm

TunnelEdit.png


Create a new tunnel

Tunnel1.PNG


We'll be using local port forwarding.

Note: The <remote server> field is dependant on what node your interactive session (and Jupyter) is running. For me this is Node059 but may be different for you. Please adjust your input according to the node that you are running Jupyter on

These are the inputs you should use for each input field.

Tunnel2.png


Save your tunnel. Finally, start your tunnel by hitting the "Play" button, or simply by clicking "Start all tunnels"

Tunnel3.PNG


Congratulations! You've now set up a Jupyter Notebook. Go to a webpage and type localhost:8888 into the URL to access the Jupyter login page. You'll need a token to login, which you can find from the output of the last command you entered into your interactive session.

[I 16:13:48.696 NotebookApp] Serving notebooks from local directory: /home/obki
[I 16:13:48.696 NotebookApp] The Jupyter Notebook is running at:
[I 16:13:48.696 NotebookApp] http://node059.hpc.local:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff
[I 16:13:48.696 NotebookApp]  or http://127.0.0.1:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff
[I 16:13:48.697 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 16:13:48.707 NotebookApp] No web browser found: could not locate runnable browser.
[C 16:13:48.707 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///home/obki/.local/share/jupyter/runtime/nbserver-19940-open.html
    Or copy and paste one of these URLs:
        http://node059.hpc.local:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff
     or http://127.0.0.1:8888/?token=fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff

So for in my case, my token is fbf40f23ca994ac5046337e6427ffea8d2be346fa54653ff

Notes

Keep in mind that the Jupyter Notebook only lasts as long as an interactive session does, so 8 hours. To run Jupyter again in the future, simply run $HOME/.local/bin/jupyter notebook --ip `hostname` from an interactive session.

Always remember to edit your SSH tunnel to match the node from which Jupyter is running from.