https://github.com/trixi-framework/paper-2021-juliacon
Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing
https://github.com/trixi-framework/paper-2021-juliacon
Last synced: 4 months ago
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Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing
- Host: GitHub
- URL: https://github.com/trixi-framework/paper-2021-juliacon
- Owner: trixi-framework
- License: mit
- Created: 2021-07-21T06:24:39.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-01-15T09:13:53.000Z (over 3 years ago)
- Last Synced: 2025-03-10T23:07:28.707Z (4 months ago)
- Language: TeX
- Homepage:
- Size: 7.54 MB
- Stars: 6
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing
[](https://opensource.org/licenses/MIT)
[](https://doi.org/10.5281/zenodo.5201484)
[](https://proceedings.juliacon.org/papers/e0a710cb74904fbd77e6528d4b55c7ce)
This repository contains the source files of the paper on
[Trixi.jl](https://github.com/trixi-framework/Trixi.jl) to be submitted
to the proceedings of JuliaCon 2021. Additionally, it also contains
material to reproduce the numerical experiments reported therein.
## Abstract
We present Trixi.jl, a Julia package for adaptive high-order numerical simulations
of hyperbolic partial differential equations. Utilizing Julia's strengths,
Trixi.jl is extensible, easy to use, and fast. We describe the main design choices
that enable these features and compare Trixi.jl with a mature open
source Fortran code that uses the same numerical methods.
We conclude with an assessment of Julia for simulation-focused scientific
computing, an area that is still dominated by traditional high-performance
computing languages such as C, C++, and Fortran.
## Referencing
This repository contains information and code to reproduce the results presented in the article
```bibtex
@article{ranocha2022adaptive,
title={Adaptive numerical simulations with {T}rixi.jl:
{A} case study of {J}ulia for scientific computing},
author={Ranocha, Hendrik and Schlottke-Lakemper, Michael and Winters, Andrew Ross
and Faulhaber, Erik and Chan, Jesse and Gassner, Gregor},
journal={Proceedings of the JuliaCon Conferences},
volume={1},
number={1},
pages={77},
year={2022},
month={01},
publisher={The Open Journal},
doi={10.21105/jcon.00077},
eprint={2108.06476},
eprinttype={arXiv},
eprintclass={cs.MS}
}
```
If you find these results useful, please cite the article mentioned above. If you
use the implementations provided here, please **also** cite this repository as
```bibtex
@misc{ranocha2021adaptiveRepro,
title={Reproducibility repository for
Adaptive numerical simulations with {T}rixi.jl:
{A} case study of {J}ulia for scientific computing},
author={Ranocha, Hendrik and Schlottke-Lakemper, Michael and Winters, Andrew Ross
and Faulhaber, Erik and Chan, Jesse and Gassner, Gregor},
year={2021},
month={08},
howpublished={\url{https://github.com/trixi-framework/paper-2021-juliacon}},
doi={10.5281/zenodo.5201484}
}
```
## Reproducing the numerical experiments
- All material necessary to reproduce the simulation of a Mach 2000 jet shown
in the paper is contained in the folder [`figure_jet`](figure_jet/),
including a [`README.md`](figure_jet/README.md) with instructions.
- All material necessary to reproduce the simulation of a Kelvin-Helmholtz
shown in the paper is contained in the folder
[`figure_kelvin_helmholtz`](figure_kelvin_helmholtz/),
including a [`README.md`](figure_kelvin_helmholtz/README.md) with instructions.
- All material necessary to reproduce the acoustics simulation on a curved
high-order mesh shown in the paper is contained in the folder
[`figure_gingerbread_man`](figure_gingerbread_man/),
including a [`README.md`](figure_gingerbread_man/README.md) with instructions.
- All material necessary to reproduce the performance comparison with the Fortran
code [FLUXO](https://gitlab.com/project-fluxo/fluxo) is contained in the folder
[`pid_runs`](pid_runs/),
including a [`README.md`](pid_runs/README.md) with instructions.
## Building the paper
The source files of the paper are contained in the folder [`paper`](paper/).
Build the paper by running
```bash
make
```
Clean up your mess afterwards with
```bash
make clean
```
## Useful links
* JuliaCon Proceedings: https://proceedings.juliacon.org/
* Author's guide: https://juliacon.github.io/proceedings-guide/author/
## License
The source code included in this repository is licensed under the MIT license
(see [LICENSE.md](LICENSE.md)). The manuscript is subject to the license of
the JuliaCon proceedings.
## Disclaimer
Everything is provided as is and without warranty. Use at your own risk!