On compute nodeĮspecially notebooks with computational and memory intensive tasks should run on compute nodes. Jupyter will present output as described in the next section including the URL and a unique key, which needs to be copied in your local browser. Where, -port 15051 specifies the above selected port number and -no-browser option prevents JupyterLab from trying to open a browser on the compute/login node side. On login nodes / virtual labsįor very small (computational cheap and small memory) the JupyterLab can be started on the login or virtual lab using: jupyter lab -port 15051 -no-browser Please launch compute or memory intensive tasks on a compute node. The JupyterLab server then can be started on the present node (login or virtual lab) or offloaded to a compute node. Or alternatively, and particularly if you are using a Māui ancillary node instead of Mahuika, you can use the Anaconda version of JupyterLab instead: module load Anaconda3 On the Mahuika login node, load the environment module which provides JupyterLab: module load JupyterLab opening a new terminal and start another ssh session: ssh mahuika specify the JupyterLab port number on the local side (left) and at the remote server (right upper box, second line)Īfter successfully establishing the port forwarding, we need open another terminal and login to the NeSI system in the usual way, e.g.specify the remote server address, e.g.specify your user name (right, lower box, second line).specify the as SSH server address (right, lower box, first line).MobaXterm has a GUI to setup and launch sessions with port forwarding, click 'Tools > MobaSSH Thunnel (port forwarding)': Therewith the SSH command line approach above can be used. MobaXterm has an internal terminal which acts like a linux terminal and can be configured as described in the Standard Terminal Setup.Hostnames can be adapted for other nodes, e.g. ssh/config to avoid establishing the additional hop manually. w-mauivlab01 you may want to add the following to your. Here -N means "Do not execute a remote command" and -L means "Forward Local Port". for Mahuika: ssh -N -L 15051:localhost:15051 mahuika The ssh command need to be called with following arguments, e.g. This can be specified on the command line in the terminal or using the MobaXterm GUI. For simplicity, we kept both numbers the same (here 15051). Therewith a local port will be connected to the remote port on the NeSI system. ssh/config to use two hop method as described in the Standard Terminal Setup.įirst, the port forwarding needs to be enabled between your local machine and the NeSI system. In the following we assume you already configured your.In the following we use the port number 15051 ( please select another number). This number needs to be used while establishing the port forwarding and while launching JupyterLab. To avoid the need for modifying the following procedure again and again, we suggest to (once) select a unique number (between 200). The default port for JupyterLab is 8888, but only one user can use this at a time. This ports are numbers between 200, which needs to be unique on the present machine. Since JupyterLab is a web based application, and at NeSI launched behind the firewall, a port needs to be forwarded to your local machine, where your browser should connected. Launch JupyterLab in your local browser.open another session to the NeSI system.Connect to the NeSI system to establish SSH port forwarding.The procedure will be simplified in future, but now require the following steps, which are then described in more details: Therefore port forwarding needs to be enabled properly. After starting the server your local browser can be connected. For less demanding work the JupyterLab server can be started on a login or virtual lab node. JupyterLab servers should be started preferably on a compute node, especially for compute intensive or memory intensive workloads. JupyterLab is a single-user web-based Notebook server, running in the user space. As a first step JupyterLab can be used on Mahuika nodes. NeSI provides a service for working on Jupyter Notebooks. If you are a Mahuika cluster user, we recommend using jupyter via. This documentation contains our legacy instructions for running JupyterLab by tunnelling through the lander node.
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