Ascent is an open source many-core capable lightweight in situ visualization and analysis infrastructure for multi-physics HPC simulations.
If you have Docker, an easy way to learn about Ascent is to run our prebuilt Docker container:
docker run -p 8888:8888 -t -i alpinedav/ascent-jupyter
Then open http://localhost:8888 in your browser to connect to the Jupyter Server in the container. The password for the Jupyter server is: learn. From here, you can run Ascent's Python Tutorial Notebook examples. For more details see our https://ascent.readthedocs.io/en/latest/Tutorial.html.
To get started building and using Ascent, check out the full documentation:
Ascent's source is hosted on GitHub:
Ascent is released under a BSD-style license - for detailed license info, refer to:
or the following files in the Ascent source tree: