See the most recent versions of NNEDI for a neural network application (in this case, an upscaler/interpolator) that is heavily SIMD-optimized.

During the implementation, if I recall correctly, the main desire was to convert it entirely to integer math, but the biggest problem with that was making a fast integer approximation for the sigmoid function. The final version, IIRC, was part integer and part float for this reason.

NNEDI originally chose from one of 64 neural network contexts for its calculations, but the current version performs a weighted average between a smaller number (context mixing). Since this eliminates the branchiness, it would likely be very suitable for a GPU implementation. Making a shader-based or OpenCL-based GPU implementation that would work in a video renderer (e.g. for realtime video playback) would likely be extremely appreciated.