ComputeSharp

> RISC-V The work is underway: https://github.com/dotnet/runtime/pulls?q=label%3Aarch-riscv > Nvidia's PTX, AMD https://ilgpu.net/ and even https://github.com/m4rs-mt/ILGPU/blob/c3af8f368445d8e6443f36... While not PTX, there's also this project: https://github.com/Sergio0694/ComputeSharp which partially overlaps with what ILGPU offers Arguably, even C++ itself - you are not using "full" C++ but a special subset that works on top of specific abstraction to compile to GPUs, and I was told that CUDA C++ is considered legacy. The original context of discussion is performance and perceived issue of "having runtime", which is what my reply is targeted at. In that context, C# provides you the tools and a solution other languages in the class of Java, Go, TS and anything else interpreted just don't have. So you could reasonably replace a project

Also recommending ComputeSharp. I've been using it for a few years now: https://github.com/Sergio0694/ComputeSharp

I have some more samples in the other folders, and I will also include some snippets in the updated docs (need to finish writing them and include them in the dev branch). Here's a couple examples: Super simple, complete examples of a shader that just multiplies all items in a buffer by 2: https://github.com/Sergio0694/ComputeSharp/blob/dev/samples/... Simple naive matrix-multiply-add shader: https://github.com/Sergio0694/ComputeSharp/blob/ada133aacd29... Let me know if those help, and feel free to ping me on GitHub or in the C# Discord server if you have any issues!