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Which doesn't change the current situation that commercial compilers still win, and NVidia/ARM contribution to LLVM comes from PGI experience.

gfortran also does not do GPGPU.

It was quite surprising to find out the lack of understanding from Khronos that CUDA supports Fortran out of the box, during OpenCL 3.0 Q&A session.

But then we are not talking about fortran anymore: I tried recently PGI and it is far behind than intel/gfortran with respect to the standard.

I can code with CUDA in many more languages than fortran. If I wanted to use gfortran, I just would make a wrapper to CUDA with C++.

Sure we are, OpenAAC, MPI and GPGPU support are a standard feature of any commercial Fortran compiler.

And yet none of those technologies is fortran-specific, nor mentioned on its standard, nor solve at tiny bit the problems the OP was specifying.

Try to give a C developer a C compiler without support for inline assembly to see how they will appreciate it.

Yet, inline assembly is not part of ISO C.

Or one that generates lousy machine without full advantage of the CPU vector units.

Yet, vector instructions are not part of ISO C.