Using login nodes for Jupyter Notebook without getting compute nodes allocated is strongly prohibited
| From April 2020, we are offering a service that can run Jupyter Lab from TSUBAME portal. The instruction below is a way of not using this service. If you have a reason to avoid this service, this document will help you. |
To use Jupyter Notebook in TSUBAME compute node, SSH port-forwarding is required.
We provide a script that semi-automate port-forwarding and interactive job submission.
(Note: It is provided as an experimental service. It may be broken or discontinued without prior notice)
Prerequisites
Install Jupyter Notebook
$ module load python/version
$ pip install --user jupyter
Set password for Jupyter Notebook (optional)
$ jupyter notebook password
Launch server
$ module load jupyterrun
Loading experimental modules
For more details, please refer https://www.t3.gsic.titech.ac.jp/labs
$ cd path/to/notebook # place to save notes
$ jupyterrun -l s_core=1 -l h_rt=00:10:00 -g groupname # or ijupyterrun (for interactive job queue)
To enable port forwarding, execute this command in another terminal:
ssh -l username -L 8888:r0i1n2:12345 login.t3.gsic.titech.ac.jp
Then, you can connect to http://localhost:8888/
jupyterrun requires the same arguments as qrsh (Interactive job) (in Docker container case)
If you want to use the interactive job queue (iqrsh), use ijupyterrun instead.
Port forwarding
Open a new terminal and paste the command displayed in the message.
Note: parameters vary every time.
$ ssh -l username -L 8888:r0i1n2:12345 login.t3.gsic.titech.ac.jp
Connect from browser
You can use Jupyter Notebook via accessing http://localhost:8888/ from your browser.
Job termination
To quit, select Quit in your browser, or type Ctrl-C twice in the terminal you executed jupyterrun.
(Appendix) What did the script do?
Except for the existence check of required commands or port-forwarding related messages, the script executes the following command.
jupyter notebook --no-browser --ip=0.0.0.0 --port=(random port number)