Skip to content

LLNL/AMS

Repository files navigation

Autonomous MultiScale Library (AMS)

A library (under construction) to simplify machine learning surrogate model integration in HPC codes.

Getting Involved

AMS is an open-source project, and we welcome contributions from the community.

Contributions

We welcome all kinds of contributions: new features, bug fixes, documentation edits; it's all great!

To contribute, make a pull request, with develop as the destination branch.

Authors

Thanks to all of AMS contributors.

AMS was created under the AMS LDRD-SI project (22-SI-004).

Citation

If you use this software, please cite it as below:

  • Bhatia, Harsh, Patki, Tapasya A., Brink, Stephanie, Pottier, Loïc, Stitt, Thomas M., Parasyris, Konstantinos, Milroy, Daniel J., Laney, Daniel E., Blake, Robert C., Yeom, Jae-Seung, Bremer, Peer-Timo, and Doutriaux, Charles. Autonomous MultiScale Library. Computer Software. https://github.com/LLNL/AMS. US DOE National Nuclear Security Administration (NNSA). 01 May. 2023. Web. doi:10.11578/dc.20230721.1.

or get the format you prefer from here

Release

AMSLib is released under Apache License (Version 2.0) with LLVM exceptions. For more details, please see the LICENSE

LLNL-CODE-851455

Installation Instructions

See INSTALL.md for full instructions.