C++ r2c Projects
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Incorrect. Vulkan has compute shaders[1], which are generally usable. Libraries like VkFFT[2] demonstrate basic signal processing in Vulkan. This can certainly be expanded upon, & there are numerous other non-graphical uses.
There is a Vulkan ML TSG (Technical Subgroup), which is supposed to be working on ML. Even Nvidia is participating, with extensions like VK_NV_cooperative_matrix, which specifically target the ml tensor cores.
There's people could probably say this better/more specifically, but I'll give it a try: Vulkan is, above all, an general standard for dispatching & orchestrating work usually on a GPU. Right now that work is most of often graphics, but that is far from a limit.
SYCL is, imo, the opposite of where we need to go. It's the old historical legacy that CUDA has, of writing really dumb ignorant code & hoping the tools can make it run well on a GPU. Vulkan, on the other hand, asks us to consider deeply what near-to-the-metal resources we are going to need, and demands that we define, dispatch, & complete the actual processing engines on the GPU that will do the work. It's a much much much harder task, but it invites in fantastic levels of close optimization & tuning, allows for far more advanced pipelining & possibilities. If the future is good, it should abandon SYCL and CUDA, and bother to get good at Vulkan.
[1] https://vkguide.dev/docs/gpudriven/compute_shaders/
[2] https://github.com/DTolm/VkFFT
[3] https://www.khronos.org/assets/uploads/developers/presentati...
C++ r2c related posts
- VkFFT - GPU Fast Fourier Transform library API guide release
- VkFFT - GPU Fast Fourier Transform library API guide release
- VkFFT can now perform Fast Fourier Transforms of arbitrary length
- VkFFT can now perform Fast Fourier Transforms of arbitrary length
- VkFFT can now perform Fast Fourier Transforms of arbitrary length
- VkFFT now supports Discrete Cosine Transforms
- VkFFT now supports Discrete Cosine Transforms on GPU
Index
| Project | Stars | |
|---|---|---|
| 1 | VkFFT | 784 |
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