Based on the lack of examples and discussion in the forums, I assume the NPP are under-utilized and under-appreciated. Since I discovered these, it has been a game changer for me in my image processing work. Since machine vision camera resolutions are now at 12 Mega-pixels and higher, its required to accelerate processing with a GPU. No longer do I need to create many of my own Cuda algorithms for 2D image processing – many of them already exist.
For example, resizing an image (x,y re-scale) is fully supported on any pixel data type and with multiple filter types, all accelerated with Cuda parallel operations (see my post and example project on an image resize implementation here).
The NVIDIA documentation is a bit sparse, the shear number of functions and sub-libraries are daunting. I suggest starting with this page.
https://docs.nvidia.com/cuda/npp/modules.html
Within this page, open the topics and drill down, I think you will be impressed with the number of Cuda functions available.
