search for: heterogenousd

I was going to say, this reminds me of Kai's presentation at Fosdem yesterday. https://fosdem.org/2018/schedule/event/heterogenousd/ It's always good to see the cross-architecture power of LLVM being used in creative ways! :) cheers, --renato On 5 February 2018 at 13:35, Nicholas Wilson via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Interesting. > > I do something similar for D targeting CUDA (via NVPT...

Interesting. I do something similar for D targeting CUDA (via NVPTX) and OpenCL (via my forward proved fork of Khronos’ SPIRV-LLVM)[1], except all the code generation is done at compile time. The runtime is aided by compile time reflection so that calling kernels is done by symbol. What kind of performance difference do you see running code that was not developed with GPU in mind (e.g.

HI LLVM comunity, after 3 years of development, various talks on LLVM-HPC and EuroLLVM and other scientific conferences I want to present my PhD research topic to the lists. The main goal for my research was to develop a single-source programming model equal to CUDA or SYCL for accelerators supported by LLVM (e.g., Nvidia GPUs). PACXX uses Clang as front-end for code generation and comes with