I just caught up on the dconf material. It was a really interesting year, and I'm super bummed I missed it!
So I'm just starting out on some GPGPU work, and I love the direction we're going here. Given this scenario; I want to write CUDA kernels in D, and execute them in an existing C++ CUDA app. Can anyone point me at the getting started material, how do I achieve this seemingly simple goal? Has anyone started on this content? Where are the toolchains, how to I build a CUDA kernel, how do I link/load it in my C++ app? If this doesn't exist, there needs to be a wiki with getting started guide covering various usage environments. I don't have a lot of time to spare on detail, so success will depend on my ability to hit the ground running, and that's really just a matter of simple clear reference material. How far are we from integration into LDC without using forked compilers?
