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https://github.com/vlang/vsl

V library to develop Artificial Intelligence and High-Performance Scientific Computations
https://github.com/vlang/vsl

computational-geometry differential-equations eigenvalues eigenvectors hacktoberfest linear-algebra openblas opencl optimization parallel-computations scientific-computing sparse-systems v

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V library to develop Artificial Intelligence and High-Performance Scientific Computations

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README 

        


  


    

  


  
The V Scientific Library



[vlang.io](https://vlang.io) |

[Docs](https://vlang.github.io/vsl) |

[Examples](./examples/) |

[Changelog](#) |

[Contributing](https://github.com/vlang/vsl/blob/main/CONTRIBUTING.md)



[![Mentioned in Awesome V][awesomevbadge]][awesomevurl]

[![VSL Continuous Integration][workflowbadge]][workflowurl]

[![Deploy Documentation][deploydocsbadge]][deploydocsurl]

[![License: MIT][licensebadge]][licenseurl]

[![Modules][ModulesBadge]][ModulesUrl]






VSL is a V library to develop Artificial Intelligence and High-Performance Scientific Computations.



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| :----------------------------------: | :----------------------------: | :------------: | :-------------------: |

|       ![][sierpinski_triangle]       | ![][mandelbrot_blue_red_black] |   ![][julia]   | ![][mandelbrot_basic] |

| ![][mandelbrot_pseudo_random_colors] |   ![][sierpinski_triangle2]    | ![][julia_set] |   ![][julia_basic]    |



## 📖 Docs



Visit [vsl docs](https://vlang.github.io/vsl) to know more about the supported features.



VSL is a Scientific Library with a great variety of different modules.

Although most modules offer pure-V definitions, VSL also provides modules

that wrap known C libraries among other backends that allow

high performance computing as an alternative.



This library contains essential functions for linear algebra computations

(operations between all combinations of vectors and matrices, eigenvalues and eigenvectors,

linear solvers) and the development of numerical methods (e.g. numerical quadrature).



Optionally, we link VSL with existent libraries written

in C and Fortran, such as Open BLAS and LAPACK.

These existing libraries have been fundamental for the development of high-performant

simulations over many years. We believe that it is possible to rewrite these

libraries in native V and at the same time achieve the same speed delivered by them, but at the same

time, we want to allow to the users of VSL the possibility to choose when to use these libraries

as a backend and when not. That is why each module documents the flags that allow this at the

time of use.



## 🚀 Installation



It is possible to optimize certain modules using different backends.

For this, there are some C dependencies that can be installed optionally.

If you want to use these C dependencies and other libraries,

the easiest way to work with VSL is via Docker.

Having Docker and VS Code installed, you can start developing powerful numerical simulations

using VSL in a matter of seconds. Furthermore, the best part of it is that it works on

Windows, Linux, and macOS out of the box.



### Quick, containerized (recommended!)



1. Install Docker

2. Clone 

3. Follow the instructions in the README.md file of the repository :ok_hand:



Done. And your system will remain "clean".



Our [Docker Image](https://hub.docker.com/repository/docker/ulisesjeremias/vsl)

also contains V and the V Tools for working with VS Code (or not).



## Install VSL locally



### Via vpm



```sh

v install vsl

```



### Via [vpkg](https://github.com/v-pkg/vpkg)



```sh

vpkg get https://github.com/vlang/vsl

```



Done. Installation completed.



## 🧪 Testing



To test the module, just type the following command:



```sh

v test .

```



## 👥 Contributors





  




Made with [contributors-img](https://contrib.rocks).



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[licensebadge]: https://img.shields.io/badge/License-MIT-blue.svg

[ModulesBadge]: https://img.shields.io/badge/modules-reference-027d9c?logo=v&logoColor=white&logoWidth=10

[awesomevurl]: https://github.com/vlang/awesome-v/blob/master/README.md#scientific-computing

[workflowurl]: https://github.com/vlang/vsl/actions/workflows/ci.yml

[deploydocsurl]: https://github.com/vlang/vsl/actions/workflows/deploy-docs.yml

[licenseurl]: https://github.com/vlang/vsl/blob/main/LICENSE

[ModulesUrl]: https://vlang.github.io/vsl/



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