I'm confused about this: As the article outlines well, Std Rust (over core) buys you GPOS-provided things. For example:
- file system
- network interfaces
- dates/times
- Threads, e.g. for splitting across CPU cores
The main relevant one I can think which applies is an allocator.
I do a lot of GPU work with rust: Graphics in WGPU, and Cuda kernels + cuFFT mediated by Cudarc (A thin FFI lib). I guess, running Std lib on GPU isn't something I understand. What would be cool is the dream that's been building for decades about parallel computing abstractions where you write what looks like normal single-threaded CPU code, but it automagically works on SIMD instructions or GPU. I think this and CubeCL may be working towards that? (I'm using Burn as well on GPU, but that's abstracted over)
Of note: Rayon sort of is that dream for CPU thread pools!
I do a lot of GPU work with rust: Graphics in WGPU, and Cuda kernels + cuFFT mediated by Cudarc (A thin FFI lib). I guess, running Std lib on GPU isn't something I understand. What would be cool is the dream that's been building for decades about parallel computing abstractions where you write what looks like normal single-threaded CPU code, but it automagically works on SIMD instructions or GPU. I think this and CubeCL may be working towards that? (I'm using Burn as well on GPU, but that's abstracted over)
Of note: Rayon sort of is that dream for CPU thread pools!