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Jupyter

From UABgrid Documentation

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jupyter notebook --no-browser --ip=$host
 
jupyter notebook --no-browser --ip=$host
 
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</pre>
The server should start running and provide you with a URL including a port # (typically but not always 8888) and a compute node on cheaha (for example C0047) that looks something like this:
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Additionally, if anticipating large IO data transfer adjust the run command to set a higher data rate limit as shown below:
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<pre>
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jupyter notebook --no-browser --ip=$host --NotebookApp.iopub_data_rate_limit=1.0e10
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</pre>
 +
 
 +
After running the jupyter notebook command the server should start running and provide you with a URL including a port # (typically but not always 8888) and a compute node on cheaha (for example C0047) that looks something like this:
 
<pre>
 
<pre>
 
    
 
    

Revision as of 17:44, 2 September 2018

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

Additionally, if anticipating large IO data transfer adjust the run command to set a higher data rate limit as shown below:

jupyter notebook --no-browser --ip=$host --NotebookApp.iopub_data_rate_limit=1.0e10 

After running the jupyter notebook command the server should start running and provide you with a URL including a port # (typically but not always 8888) and a compute node on cheaha (for example C0047) 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 88XX:c00XX:88XX BLAZERID@cheaha.rc.uab.edu

Note:

  • c00XX is the compute node where you started the jupyter notebook, for example c0047
  • 88XX is the port that the notebook is running, for example 8888

Now access the link on your client machine browser locally using the link generated by jupyter notebook by substituting in localhost instead of c00XX. Make sure you have the correct port as well.

http://localhost:88XX/?token=73da89e0eabdeb9d6dc1241a55754634d4e169357f60626c&token=73da89e0eabdeb7d6dc1241a55754634d4e169357f60626c

A Jupyter notebook should then open in your browser.