Has anyone used D with Nvidia's Cuda?

[Rikki Cattermole via Digitalmars-d]

On 4/04/2015 11:26 p.m., Walter Bright wrote:
> On 4/4/2015 3:04 AM, weaselcat wrote:
>> PR?
>
> Exactly!
>
> The idea is that GPUs can greatly accelerate code (2x to 1000x), and if
> D wants to appeal to high performance computing programmers, we need to
> have a workable way to program the GPU.
>
> At this point, it doesn't have to be slick or great, but it has to be
> doable.
>
> Nvidia appears to have put a lot of effort into CUDA, and it shouldn't
> be hard to work with CUDA given the Derelict D headers, and will give us
> an answer to D users who want to leverage the GPU.
>
> It would also be dazz if someone were to look at std.algorithm and see
> what could be accelerated with GPU code.


On that idea, just a thought. But DMD-FE is using the visitor pattern 
quite a lot to allow the backend to hook into it easily.

What if we exposed a set block of code, to CTFE that acted like a 
backend, but only transformed for the real backend.

In other words, allow CTFE to extend the compiler a little like the 
backend does. To add language features such as transform x code into 
OpenCL code and have it wrapped nicely into D code.

Theoretically if this was done, we could move the iasm into library.
Because of CTFE, surely this wouldn't add much code to the front end?