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Using clang, I am able to compile OpenCL-C++ kernels (using clang -c). I am trying to load these compiled kernels into my OpenCL application, but am at a loss how to achieve that. I am using Ubuntu 22.04, with an Intel CPU and an Nvidia GPU. The GPU unfortunately does not support SPIR-V injection via clCreateProgramWithIL - if it did, I would happily take that route. I also cannot use clCreateProgamWithSource, because that unfortunately does not support C++ features inside the kernels.

Is there any way I can compile OpenCL-C++ kernels using clang and then load them into my OpenCL application? Or is there a way I can still use clCreateProgramWithSource with C++ features inside the kernels, maybe? Either way would work well! (There has been a similar question here but focusing on macOS, which has its own OpenCL implementation and compiler, as far as I know.)

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  • Does this answer your question: stackoverflow.com/questions/73179473/… ? Commented Jan 17, 2023 at 23:17
  • Yes, that does help, thank you so much! I have yet to encounter a device that actually supports cl_ext_cxx_for_opencl but in the meantime I was able to go the SPIR-V route and managed to load C++ OpenCL kernels into my application going that little detour. Commented Jan 18, 2023 at 13:27
  • @mikulcak Can you share how you managed to get spirv to run on nvidia gpu, please? Commented Jul 9, 2023 at 21:54
  • That's not possible, unfortunately. The Nvidia implementation of the OpenCL standard does not support that particular extension. I ended up running the SPIR-V kernels on the integrated graphics on my Intel CPU. Commented Jul 11, 2023 at 9:02
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