It really is a tiny subset of the C++ standard library, but I'm happy to see they're continuing to expand it: https://nvidia.github.io/libcudacxx/api.html
Looking at the functions, chrono/barrier etc require CPU level abstractions, so using the STL versions (which are for the CPU) aren't going to work really.
We focused on things that require /different/ implementations in host and device code.
The way you implement std::binary_search is the same in host and device code. Sure, we can stick `__host__ __device__` on it for you, but it's not really high value.
Synchronization primitives? Clocks? They are completely different. In fact, the machinery that we use to implement both the synchronization primitives and clocks has not previously been exposed in CUDA C++.
Our end goal is to enable the full C++ Standard Library. The current feature set is just a pit stop on the way there.