On Sunday, 15 October 2017 at 06:58:19 UTC, Ilya Yaroshenko wrote:
On Sunday, 15 October 2017 at 05:57:35 UTC, Nicholas Wilson
wrote:
I am very pleased to announce the first proper release of
DCompute, a framework for heterogeneous computing for D. It
wraps the OpenCL and CUDA runtimes to run compute kernels for
computationally intensive workloads.
https://github.com/libmir/dcompute/releases/tag/v0.1.0
Thanks to all who helped make this happen.
Mike, want me to do another blog post about this and the CUDA
support?
P.S: can those who answer [email protected] please tell me
what you think of my plan to advance the development and
exposure of DCompute?
Nicholas, could you please create an example with mir.ndslice
and mir.math.common? --Ilya
using ndslice should be no problem, mir.math.common will not work
for OpenCL as is because the SPIR-V backend does not use the LLVM
intrinsics. Instead I have to do things like
https://github.com/libmir/dcompute/blob/master/source/dcompute/std/opencl/index.d#L17
to get the functions correct. Hopefully that will be resolved
when I get the backend merged into LLVM, but that won't happen
until (hopefully shortly) after IWOCL in mid may.
In the mean time I need to create a dispatcher similar to
https://github.com/libmir/dcompute/blob/master/source/dcompute/std/index.d with `__dcompute_reflect` all over the place to get things to work.
