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https://github.com/thrill/thrill
Thrill - An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++
https://github.com/thrill/thrill
big-data c-plus-plus distributed-computing thrill
Last synced: 17 days ago
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Thrill - An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++
- Host: GitHub
- URL: https://github.com/thrill/thrill
- Owner: thrill
- License: other
- Created: 2015-04-24T14:05:14.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2023-08-30T15:17:33.000Z (about 1 year ago)
- Last Synced: 2024-07-31T22:43:40.098Z (3 months ago)
- Topics: big-data, c-plus-plus, distributed-computing, thrill
- Language: C++
- Homepage: http://project-thrill.org
- Size: 8.89 MB
- Stars: 577
- Watchers: 45
- Forks: 82
- Open Issues: 49
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Thrill
Travis-CI Status: [![Travis-CI Status](https://travis-ci.org/thrill/thrill.svg?branch=master)](https://travis-ci.org/thrill/thrill)
Jenkins Status: [![Jenkins Status](http://i10login.iti.kit.edu:8080/buildStatus/icon?job=Thrill)](http://i10login.iti.kit.edu:8080/job/Thrill)
Appveyor Status: [![Appveyor Status](https://ci.appveyor.com/api/projects/status/ux41q0dc5t2l7u1q/branch/master?svg=true)](https://ci.appveyor.com/project/bingmann/thrill/branch/master)Thrill is an EXPERIMENTAL C++ framework for algorithmic distributed Big Data batch computations on a cluster of machines.
It is currently being designed and developed as a research project at Karlsruhe Institute of Technology and is in early testing.
More information on goals and mission see [http://project-thrill.org](http://project-thrill.org).For easy steps on Getting Started refer to the [**Live Documentation**](http://project-thrill.org/docs/master/).
## License
Thrill is free software provided under [BSD 2-clause license](https://github.com/thrill/thrill/blob/master/LICENSE).
If you use Thrill in an academic context or publication, please cite our paper
```
@InProceedings{bingmann2016thrill,
author = {Timo Bingmann and Michael Axtmann and Emanuel J{\"{o}}bstl and Sebastian Lamm and Huyen Chau Nguyen and Alexander Noe and Sebastian Schlag and Matthias Stumpp and Tobias Sturm and Peter Sanders},
title = {{Thrill}: High-Performance Algorithmic Distributed Batch Data Processing with {C++}},
booktitle = {IEEE International Conference on Big Data},
year = 2016,
pages = {172--183},
month = dec,
organization = {IEEE},
note = {preprint arXiv:1608.05634},
isbn = {978-1-4673-9005-7},
}
```