Jupyter
JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality.
Traditionally, jupyter has been offered at Anunna via notebook.anunna.wur.nl, though OOD makes it possible to deploy Jupyter based off the environment modules from Anunna. Adding greater stability and flexibility. Jupyter is listed in the featured apps speed-dial and upon clicking on it, the user is presented with a form where they can select their preferences and allocate resources for their session
Resource Allocation Form
- Python version: version of python the default kernel will be running
- Session Type: traditional notebooks interface or the newer lab interface. It is also possible to change the interface from within the active Jupyter session.
- Hours: Number of hours allocated to the session, max 4 hours
- Number of CPUs: Number of CPU cores allocated for the session
- Amount of Memory: RAM allocated for the session
- Number of GPUs: 0 denotes no GPU is used, a non-zero number will switch the partition from main to the gpu partition
- Comment: label or project number that will show up in billing.
- Slurm Options: slurm flags that may override settings above
Connecting to an active session
After the resources and preferences have been defined, the user can simply click on the launch button. Which will submit a job at Anunna and take them to the My Interactive Sessions page where they can connect to their session.
Once the session is ready a "Connect to Jupyter " button will appear which will allow the user to (re)connect to the corresponding active session.
The card also has a red "Cancel" button where the user may terminate their session.