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.
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.
# inside the project directory
mkdir build
cd build
cmake ../
makeFeel free to add more geometric operations related to graphics rendering and raytracing.
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