The <...> placeholders need to be replaced with what _you_ need. For instance:
- <login-node-address> needs to be replaced with the address of the login node provided in your welcome Email
- <login-port> needs to be replaced with the port number from your welcome Email
- <xx> needs to be replaced with a number between 01-30
- <xx> needs to be replaced with a number between 01-30 (inclusive)
- <compute-node> needs to be replaced with an available compute node from the cluster nodes list. You can find the full list of nodes on the [About Star page]({{site.baseurl}}{% link quickstart/about-star.md %}).
- Make sure you change the path for both the `--output` and `--error` directives to where _you_ would like the files to be saved at.
```
The script uses these Slurm settings:
...
...
@@ -111,7 +112,7 @@ cat jupyter_notebook_<jobid>.out # Run this command in the directory the .out f
4. Open a new terminal on your local machine and run the SSH command provided in the output file. If prompted for a password, use your Linux lab password if you haven't set up SSH keys. Note that the command will appear to hang after successful connection - this is the expected behavior. Do not terminate the command (Ctrl + C) as this will disconnect your Jupyter notebook session (unless you intend to do so).
5. Check the error file for the Jupyter URL (it will be in the last line):
5. Check the error file on the login node for the Jupyter URL:
```bash
cat jupyter_notebook_<jobid>.err | grep'127.0.0.1'# Run this command in the directory the .err file is located.
```
...
...
@@ -120,12 +121,13 @@ cat jupyter_notebook_<jobid>.err | grep '127.0.0.1' # Run this command in the d
Make sure you wait about 30 seconds after executing the SSH portforwarding command on your local machine. It takes the `.err` file a little time to be updated and include your link.
```
6. Copy the URL from the error file and paste it into your browser.
6. Copy the URL from the error file and paste it into your **local machine's browser**.
7.When finished, clean up your session by running this command on the login node:
7.If you're done prior to the job's termination due to the walltime, clean up your session by running this command on the login node:
```bash
scancel <jobid>
```
Afterwards, press `Ctrl + C` on your local computer's terminal session that you set up port forwarding.
