JupyterHub
EML’s JupyterHub is deployed for users to remotely run Jupyter Lab (with Python, R, MATLAB, and iTorch), terminal sessions, RStudio, VS Code, and even graphical desktop sessions on EML machines.
Starting Your Server
By default, your notebook will be spawned onto the first available standalone Linux server. For more processing power, choose the partition that will use the high-performance computing cluster: “low” for the low priority partition and the “high” for the high priority partition
You can also pass SBATCH options to your notebook and specify prologue commands that will run prior to your notebook startup.
Stopping Your Server
To stop your server (and free up resources for other users), please visit the “Hub Control Panel” and choose “Stop My Server”. Note that selecting “Logout” does not free up resources for other users as it keeps your server running.
Named Servers
It is possible to start up multiple servers on the cluster, analogously to how you might start up more than one job on the cluster. This is useful if you want to provide your jupyter server with different hardware resources or cluster options, or if you are sharing a research account and want to let each user run a different jupyter server.
After you login, do not click Start on the Server Options page. Instead, visit the control panel at https://jupyter.econ.berkeley.edu/hub/home. You can get there by clicking the Home button at the top-left. Specify a name in the “Name your server” field, then click “Add New Server”. If you are using a shared account, consider naming the server after your own EML username or after your name. This helps the other account users to tell the servers apart. If you are working from your own account, consider naming your additional servers after your project or the cluster characteristics of your job. After naming and adding the server, you will then be prompted to specify spawning options.
If you have multiple named servers running, just navigate to the hub control panel by clicking the Home button at the top left, clicking File > Hub Control Panel from within Lab, or by visiting https://jupyter.econ.berkeley.edu/hub/home directly. There is no hub control panel button from within RStudio. You can access, modify, or stop the servers there. Note that your default server will be available at https://jupyter.econ.berkeley.edu/user/username while your named servers will be available at https://jupyter.econ.berkeley.edu/user/username/servername/.
Using RStudio, VS Code, Linux desktop
Within JupyterLab, click the application from the launcher. If you don’t see the launcher, click File > New Launcher.