This is an old revision of the document!
Jupyter is installed in most of the python modules. To make use of it you would do something like:
jupyter-notebook
However using it effectively on the cluster is a bit more complicated…
After Logging in your account check for your preferred python version as follows:
module avail 2>&1 | grep python
Now proceed to request for an interactive compute node where a configuration file and security measures will be established. A single core on an interactive node has proven sufficient for this exercise. Request an arbitrary interactive compute node as follows:
qsub -I -P PROJ0101 -q serial -l select=1:ncpus=1:mpiprocs=1:nodetype=haswell_reg
Note:
In your interactive compute node, load the preferred python module as follows:
module add chpc/python/3.6.0_gcc-6.3.0
You are not the only person on the system, so it is important to set up authentication on your notebook so that not everyone gets access to your notebook (and worse – your data).
So first one needs a configuration file, this can be done by passing the generate-config parameter to jupyter as follows:
[USERNAME@cnode0010 ~]$ jupyter-notebook --generate-config
Note
Next you need to generate your password (remember it – you'll need it when you connect later):
python
from notebook.auth import passwd passwd() Enter password: Verify password: 'sha1:f27008fdb0eb:4c2f305d5e230edca16c7059882ba3ba63bee03b'
Use the following command to access the “jupyter_notebook_config.py” file: $ cd /home/USERNAME/.jupyter/jupyter_notebook_config.py
Now edit the jupyter_notebook_config.py file, specifically edit the c.NotebookApp.passwd line (remember to uncomment it, and don't just copy and paste my hash in).
c.NotebookApp.password = 'sha1:f27008fdb0eb:4c2f305d5e230edca16c7059882ba3ba63bee03b'