Writing efficient CUDA code is very, very difficult; most CUDA code is not actually good at utilizing the hardware. It is much easier to write performant code in higher level languages (and most people are doing exactly this).
That all depends on what you’re doing. Like I said, if a high level lang or lib supports and fits your goal well, then yes you should use it. I don’t know what most people are doing, but it’s fair to say that a lot of people can use a higher level language.
If you’re trying to learn CUDA, then using a higher level language is not the best approach. If you already used a high level language and found that your performance is lacking and could be better if you could fuse some of your kernels, and avoid some of the memory round-trips, then moving to something lower level is called for.
I’m suggesting it’s better to think about your goals for one minute and understand the basic choices than it is to assume there’s something that works for everyone’s goals, and higher level languages don’t meet everyone’s goals.
