Pilot environment for evaluation. For production deployments, contact us.
Web - Interactive web application e.g. Jupyter Notebook
Summary
Jupyter on SDSC Expanse with specialized visualization and mesh tools.
Description
What it is A Jupyter Notebook environment running on SDSC Expanse, an NSF-funded supercomputer accessible through ACCESS allocations. Built on Anaconda 3 with specialized packages for scientific visualization, 3D plotting, and mesh handling.
Use cases
- Visualization-heavy analysis using VTK and PyVista
- Working with structured and unstructured computational meshes
- Mesh creation and modification workflows using GMSH
- Interactive analysis that benefits from HPC-scale compute and memory
- Research workflows that integrate Python with Lua scripting via Lupa
What's included Built on Anaconda 3 with the following specialized packages:
- vtk — advanced scientific visualization
- pyvista — 3D plotting and robust mesh handling for both structured and unstructured meshes
- GMSH — mesh creation and modification
- Lupa — integration between Python and Lua
- cmcrameri — perceptually uniform scientific color maps
Standard Anaconda Python and scientific computing packages are also available.
Where it runs SDSC Expanse, an HPC cluster operated by the San Diego Supercomputer Center. Jobs are submitted to Expanse's scheduler and may experience queue wait times depending on system load. Requires a valid ACCESS allocation on Expanse.
Getting started Click Launch and configure your resource request (cores, memory, runtime). Once Expanse schedules your job, Jupyter will become accessible in your browser. Save outputs to your Expanse home or scratch directory.