It's likely better to just write/use libs which abstract the CUDA/OpenCL level away for generic GPU type tasks. Unless you have really strict performance requir

It's likely better to just write/use libs which abstract the CUDA/OpenCL level away for generic GPU type tasks. Unless you have really strict performance requirements or are writing a very specific piece of GPU code, in which case I cant image OpenCL-to-CUDA translator would handle that case well either. They both have very similar ideas for the core of the APIs then CUDA adds a bunch of stuff on top of it for ease of use and performance which is tightly coupled with the hardware in some cases. It would be a lowest common denominator situation with a lot of those features in CUDA.