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https://github.com/hackingmaterials/rocketsled

plug-n-play black box optimizer for high-throughput computing
https://github.com/hackingmaterials/rocketsled

black-box-optimization high-performance-computing optimization

Last synced: 4 months ago
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plug-n-play black box optimizer for high-throughput computing

Host: GitHub
URL: https://github.com/hackingmaterials/rocketsled
Owner: hackingmaterials
License: other
Created: 2016-06-21T22:17:53.000Z (about 8 years ago)
Default Branch: main
Last Pushed: 2023-03-08T14:01:03.000Z (over 1 year ago)
Last Synced: 2024-01-16T10:46:22.213Z (5 months ago)
Topics: black-box-optimization, high-performance-computing, optimization
Language: Python
Homepage:
Size: 14.2 MB
Stars: 39
Watchers: 5
Forks: 11
Open Issues: 27
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt

Lists

awesome-stars - hackingmaterials/rocketsled - plug-n-play black box optimizer for high-throughput computing (Python)

README

        
# 

| Tests  |   Release  |

|:----------:|:-------------:|

| ![example workflow](https://github.com/hackingmaterials/matbench/actions/workflows/python-package.yml/badge.svg) | [![PyPI version](https://img.shields.io/pypi/v/rocketsled.svg?colorB=blue)](https://pypi.org/project/rocketsled/) |

rocketsled is a black-box optimization framework "on rails" for high-throughput computation with FireWorks.

- [**Website (including documentation)**](https://hackingmaterials.github.io/rocketsled/)

- [**Help/Support**](https://discuss.matsci.org)

- [**Source**](https://github.com/hackingmaterials/rocketsled)

- [**FireWorks website**](https://materialsproject.github.io/fireworks)

If you find rocketsled useful, please encourage its development by citing the [following paper](http://doi.org//10.1088/2515-7639/ab0c3d) in your research:

```

Dunn, A., Brenneck, J., Jain, A., Rocketsled: a software library for optimizing

high-throughput computational searches. J. Phys. Mater. 2, 034002 (2019).

```

If you find FireWorks useful, please consider citing [its paper](http://dx.doi.org/10.1002/cpe.3505) as well:

```

Jain, A., Ong, S. P., Chen, W., Medasani, B., Qu, X., Kocher, M., Brafman, M., 

Petretto, G., Rignanese, G.-M., Hautier, G., Gunter, D., and Persson, K. A. 

FireWorks: a dynamic workflow system designed for high-throughput applications.

Concurrency Computat.: Pract. Exper., 27: 5037–5059. (2015)

```