https://github.com/aleph-alpha/neurips-want-submission-efficient-parallelization-layouts
https://github.com/aleph-alpha/neurips-want-submission-efficient-parallelization-layouts
Last synced: over 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/aleph-alpha/neurips-want-submission-efficient-parallelization-layouts
- Owner: Aleph-Alpha
- License: other
- Created: 2023-11-05T21:24:54.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-15T23:10:44.000Z (over 2 years ago)
- Last Synced: 2023-12-16T00:52:43.851Z (over 2 years ago)
- Language: Python
- Size: 620 KB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### Excel sheets and scripts for NeurIPS [WANT](https://want-ai-hpc.github.io/neurips2023/callforpapers) workshop publication:
### ["Efficient Parallelization Layouts for Large-Scale Distributed Model Training"](https://arxiv.org/abs/2311.05610)
### Cite Us
To cite this project, you can use the following BibTeX citation.
```
@misc{hagemann2023efficient,
title={Efficient Parallelization Layouts for Large-Scale Distributed Model Training},
author={Johannes Hagemann and Samuel Weinbach and Konstantin Dobler and Maximilian Schall and Gerard de Melo},
year={2023},
eprint={2311.05610},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```