Jupyter-JSC
The Jupyter-JSC can be reached here and is provided by Juelich Supercomputing Centre.
Short Facts
- Service URL
- Target group
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HPC users of JSC. Helmholtz users in general
- Login process
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Login via JSC account or Helmholtz AAI
- Support
- Documentation
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https://docs.jupyter.jsc.fz-juelich.de
Features
Jupyter-JSC offers:
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Version(s): JupyterHub 4.1.5; JupyterLab 3.6, 4.2, users may start their own docker images
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Temporarly install new packages by the user
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Persistent storage
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Start on multiple (external) systems possible (including HPC). Resources depend highly on system
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2FA authentication available
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WebDAV connection possible
Programming Languages:
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Bash
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Cling
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JavaScript
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Julia
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Octave
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R
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Ruby
Environments:
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PyDeepLearning
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PyQuantum
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PyVisualization
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Custom
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Bokeh
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JupyterLab Preview
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JupyterLab Manager
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JupyterLab Sidecar
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JupyterLab Git
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JupyterLab server proxy
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JupyterLab toc
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JupyterLab lsp
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JupyterLab quickopen
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JupyterLab pyviz
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JupyterLab Code Formatter
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BQPlot
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Dask Labextension
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IPyVolume
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ITKWidgets
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Leaflet
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Matplotlib
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ThreeJS
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Vue
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Vuetify
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JuypterLab Control
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JupyterLab Dash
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JupyterLab Datawidgets
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JupyterLab GitLab
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JupyterLab Lmod
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JupyterLab plotly
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JupyterLab System Monitor
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JupyterLAb Theme Toggle
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JupyterLab topbar extension
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JupyterLab iframe
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nbdime
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plotlywidget
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pvlink
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Jupyter Slurm Provisioner
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NVDashboard
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XPra
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NESTDesktop
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MatLab
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RStudio
Resources
Jupyter-JSC provides Jupyter servers within the following resource limits:
Resource | Default | Maximum |
---|---|---|
Number of Jupyter servers per user | 1 | 100 |
Number of CPUs | 2 | 1024 |
CPU time | 30 min | 24 h |
Amount of memory | 96 GB | 768 GB |
Number of GPUs | 0 | 4 |
Disk space | 10 GB | None |
Persistent disk space | None | None |
Technicals
Some technical insights about Jupyter-JSC:
- SSL encryption between JupyterLab and JupyterHub