JAX-powered Cosmological Particle-Mesh N-body Solver
Provide a modern infrastructure to support differentiable PM N-body simulations using JAX:
- Keep implementation simple and readable, in pure NumPy API
- Any order forward and backward automatic differentiation
- Support automated batching using
vmap - Compatibility with external optimizer libraries like
optax - Now fully distributable on multi-GPU and multi-node systems using jaxDecomp working with
JAX v0.4.35
Current expectations are:
- This project is and will remain open source, and usable without any restrictions for any purposes
- Will be a simple publication on The Journal of Open Source Software
- Everyone is welcome to contribute, and can join the JOSS publication (until it is submitted to the journal).
- Anyone (including main contributors) can use this code as a framework to build and publish their own applications, with no expectation that they need to extend authorship to all jaxpm developers.
To dive into JaxPM’s capabilities, please explore the notebook section for detailed tutorials and examples on various setups, from single-device simulations to multi-host configurations. You can find the notebooks' README here for a structured guide through each tutorial.
Thanks goes to these wonderful people (emoji key):
 Francois Lanusse 🤔 |
 Denise Lanzieri 💻 |
 Wassim KABALAN 💻 🚇 👀 |
 Hugo Simon-Onfroy 💻 |
 Alexandre Boucaud 👀 |
This project follows the all-contributors specification. Contributions of any kind welcome!