This is a simple implementation of a solver for the incompressible navier-stokes equation on the GPU. The implemenation uses the CUDA OpenGL interoperability for visualization. Currently some optimizations are missing, e.g. the use of shared memory to avoid expensive reloading from global GPU memory.
Dependencies are managed with conan, which can be installed by the python package manager.
For building this project it is necessary to define the proper CUDA paths and architecture in the CMakeLists.txt and build from within an build folder with:
conan install ..
cmake ..
cmake --build . --config Release
Execution currently still has to be done from within the created bin folder
in order to link the GLSL shaders properly.