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://groups.google.com/forum/#!forum/fireworkflows
- 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 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 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)
Metadata
Release files for rocketsled 1.0.1.20200523
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rocketsled-1.0.1.20200523.tar.gz | 38.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rocketsled-1.0.1.20200523-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.5 kB
Release files / rocketsled-1.0.1.20200523.tar.gz
| Download URL | rocketsled-1.0.1.20200523.tar.gz |
|---|---|
| Size | 38.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / rocketsled-1.0.1.20200523-py3-none-any.whl
| Download URL | rocketsled-1.0.1.20200523-py3-none-any.whl |
|---|---|
| Size | 39.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3
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