[ColonelPhantom]

What do you mean by a polyglot compiler infrastructure? Are you referring to the fact that CUDA source is single-file (your host and device code are in the same compilation unit?) Or do you mean that you can ship the same binary to different GPU architectures?

SYCL solves the first issue, and SPIR-V solves the second one. (OpenCL mostly avoids the issue in general though by making you ship source which is then compiled by the driver, but SPIR-V allows you to ship a 'binary' instead).

No clue as for debugging and IDE tooling, but I did find a rocgdb binary on my Linux ROCm installation (which is for HIP, not SYCL). No clue what oneAPI offers for debugging.

Furthermore, Clang (and hence clangd) speaks HIP and I think SYCL too. So the non-runtime IDE tooling should work.

Finally, a lot of GPU libraries are I think available for ROCm/HIP too. It's unfortunate that the HIP stack sucks enormously in other ways.