On Sunday, 26 October 2014 at 05:31:52 UTC, Dmitri Nesteruk wrote:
On Tuesday, 21 October 2014 at 08:31:03 UTC, ponce wrote:
On Thursday, 16 October 2014 at 21:18:15 UTC, ponce wrote:
Dear D users,

I'd like to announce DerelictCUDA, dynamic bindings to the CUDA library.

For now, only the CUDA Driver API is exposed, providing most of the warp control.

For a visual explanation of the different APIs in CUDA, see http://stackoverflow.com/questions/242894/cuda-driver-api-vs-cuda-runtime

More APIs could be implemented if the interest happens to be non-null.

CUDA Runtime API added.

This is great! I know that C++ uses <<< and >>> to enclose kernel calls and thus create the link between CPU and GPU code when NVCC rips things apart. How is this done in your bindings?

The kernel launch syntax can only be used in CUDA when compiling for both device and host through nvcc. This isn't possible to have such with D code since nvcc won't take it. You have to compile the kernels separately, load them, and then use cudaLaunch or cuKernelLaunch instead (I suggest using string imports with PTX outputs or fatbin).

This makes CUDA programming arguably less practical than with C++, but combined host+device code tend to complicate build

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