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Alpine-DAV / ascent

A flyweight in situ visualization and analysis runtime for multi-physics HPC simulations
https://alpine-dav.github.io/ascent/
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analysis cuda data-viz hpc mpi parallel-computing radiuss rendering scientific-computing

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Ascent

Ascent is an open source many-core capable lightweight in situ visualization and analysis infrastructure for multi-physics HPC simulations.

Learn how to use Ascent with Docker + Jupyter

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.

Documentation

To get started building and using Ascent, check out the full documentation:

https://ascent.readthedocs.io/en/latest/

Source Repo

Ascent's source is hosted on GitHub:

https://github.com/Alpine-DAV/ascent

Contributors

https://github.com/Alpine-DAV/ascent/graphs/contributors

License

Ascent is released under a BSD-style license - for detailed license info, refer to:

http://ascent.readthedocs.io/en/latest/Licenses.html

or the following files in the Ascent source tree:

Changelog