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https://github.com/postmalloc/barycuda

A tiny CUDA library for fast barycentric operations.
https://github.com/postmalloc/barycuda

3d-graphics barycentric-coordinates cuda python simplex

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A tiny CUDA library for fast barycentric operations.

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# barycuda
artwork

Barycuda is a tiny CUDA accelerated library with no dependencies that
performs various barycentric operations. This is an attempt to speed-up
a 3D renderer that I'm working on.

Currently, the library exposes the following functions:
* `point_in_simplex` - takes an array of points, the vertices
of a 2D/3D simplex, and tells you if each point lies inside the
simplex.
* `bary_simplex` - takes an array of points, the vertices of
a 2D/3D simplex, and returns the barycentric coordinates for
each point.

## Usage
You can use Barycuda directly from C++ (see `src/testBary.cpp` for an example),
or if you prefer using Python, Barycuda has a Python wrapper available.
You can install it by doing

`pip install pybarycuda`

Installation using `pip` will come bundled with a prebuilt
`libbarycuda.so` for Linux x86-64. The linker paths are correctly set out of
the box, and you shouldn't have to change your `LD_LIBRARY_PATH` to be able to
use it.

I plan to support other architectures in the future, but if you want to
do it yourself, you can build the binaries (see below) and add `libbarycuda.so`
to `LD_LIBRARY_PATH` to make the Python wrapper work.

You will need a CUDA capable system for any of this to work.

## Build
```bash
# inside the project directory
mkdir build
cd build
cmake ../
make
```

## Contributing
Feel free to add more geometric operations related to
graphics rendering and raytracing.

## References
Shirley, P. (2009) Fundamentals of Computer Graphics
https://en.wikipedia.org/wiki/Barycentric_coordinate_system
https://math.stackexchange.com/questions/1226707/how-to-check-if-point-x-in-mathbbrn-is-in-a-n-simplex