DCompute is an extension to LDC capable of generating code (with
no language changes*) for NVIDIA's NVPTX for use with CUDA, SPIRV
for use with the OpenCL runtime, and of course the host, all at
the same time! It is also possible to share implementation of
algorithms across the host and device.
This will enable writing kernels in D utilising all of D's meta
programming goodness across the device divide and will allow
launching those kernels with a level of ease on par with CUDA's
<<<...>>> syntax. I hope to be giving a talk at DConf2017 about
this ;), what it enables us to do, what still needs to be done
and future plans.
DCompute supports all of OpenCL except Images and Pipes (support
is planned though).
I haven't done any test for CUDA so I'm not sure about the extent
of support for it, all of the math stuff works, images/textures
not so sure.
Many thanks to the ldc team (especially Johan) for their guidance
and patience, Ilya for reminding me that I should upstream my
work and John Colvin for his DConf2016 talk for making me think
'surely compiler support can't be too hard'. 10 months later:
here it is!
The DCompute compiler is available at the dcompute branch of ldc
, you will need my fork of llvm here and the SPIRV
submodule that comes with it  as the llvm to link against.
There is also a tool for interconversion  (I've mucked up the
submodules a bit, sorry, just clone it into 'tools/llvm-spirv',
it's not necessary anyway). The device standard library and
drivers (both WIP) are available here.
Please sent bug reports to their respective components, although
I'm sure I'll see them anyway regardless of where they go.
* modulo one hack related to resolving intrinsics because there
is no static context (i.e. static if) for the device(s).
Basically a 'codegen time if'.