DCompute - Native heterogeneous computing for D - is here!

[Guillaume Piolat via Digitalmars-d-announce]

On Monday, 27 February 2017 at 23:02:43 UTC, Nicholas Wilson 
wrote:
>> Interesting to write kernels in D, since a limitation of CUDA 
>> is that you need to multiply the entry points to instantiate a 
>> template differently, and a limitation of OpenCL C is that you 
>> need templates and includes in the first place.
>>
>
> Wait you mean you have to explicitly instantiate every instance 
> of a templated kernel? Ouch.

IIRC, that entry point explosion happens in CUDA when you 
separate strictly host and device code. Not sure for mixed mode 
as I've never used that.


> I should first emphasise the future tense of the second half of 
> the sentence you quoted.
>
>> How does this work?
>
> DCompute (the compiler infrastructure) is currently capable of 
> building .ptx and .spv as part of the compilation process. They 
> can be used directly in any process pipeline you may have 
> already.

.ptx, got it.

>> Does the host code need something like DerelictCL/CUDA to work?
>
> If you want to call the kernel, yes. The eventual goal of 
> DCompute (the D infrastructure) is to fully wrap and unify and 
> abstract the OpeCL/CUDA runtime libraries (most likely provided 
> by Derelict), and have something like:

Interesting.
Let me know if you need more things in OpenCL bindings.