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https://github.com/raulmurillo/annsim_22

Code for reproducing ANNSIM 2022 results
https://github.com/raulmurillo/annsim_22

deep-neural-networks floating-point physics-simulation posit simulation

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Code for reproducing ANNSIM 2022 results

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# ANNSIM_22

Code for reproducing ANNSIM 2022 results.
For more information, refer to the original paper: [The Effects of Numerical Precision In Scientific Applications](https://doi.org/10.23919/ANNSIM55834.2022.9859379)

## Quick start
Sources in `physic_probs/` make use of [Universal Numbers Library](https://github.com/stillwater-sc/universal), while the models in `DNN/` are implemented on [Qtorch+](https://github.com/minhhn2910/QPyTorch).
You would need to install those libraries to use the sources in this repo.

Universal library is necessary to compile the projects.
Use the script `update_cmake.sh` with option `-p ` for quick setup.

## Citation
If you find this repo useful, please cite our [paper](https://doi.org/10.23919/ANNSIM55834.2022.9859379) listed below.

```bib
@inproceedings{Murillo2022Effects,
author={Murillo, Raul and Barrio, Alberto A. Del and Botella, Guillermo},
booktitle={2022 Annual Modeling and Simulation Conference (ANNSIM)},
title={The Effects of Numerical Precision In Scientific Applications},
year={2022},
volume={},
number={},
pages={152--163},
doi={10.23919/ANNSIM55834.2022.9859379}
}
```

## Credits
Some of the original sources are taken from
https://people.sc.fsu.edu/~jburkardt/
and
https://people.math.sc.edu/Burkardt/