Comment by pjmlp

Not really, because as usual people misunderstand what CUDA is.

CUDA is hardware designed according to the C++ memory model, with first tier support for C, C++, Fortran and Python GPGPU DSLs, with several languages also having a compiler backend for PTX.

Followed by IDE integration, a graphical debugger and profiler for GPU workloads, and an ecosystem of libraries and frameworks.

Saying just use DirectX, Vulkan, OpenGL instead, misses the tree from the forest that is CUDA, and why researchers rather use CUDA, than deal with yet another shading language or C99 dialect, without anything else.