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Nvidia announces native GPU programming in Rust

developer.nvidia.com

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Re: Nvidia announces native GPU programming in Rust

#4
I'm looking forward to trying these when they stabilize! I currently use WGPU for graphics, and cudarc for CUDA.

Note: Cuda-oxide is similar to Cudarc's host component, but uses a rust-style kernel dialect. Advantage: Share structs between host and device. Disadvantage: Trading standard Cuda kernels for a new, WIP dialect.

I haven't tried the tile API yet; looking forward to it.

The last time I checked, Cuda Oxide was Linux only, and required Async; these are why I haven't tried it yet.

Re: Nvidia announces native GPU programming in Rust

#7
First of all, this is a pre-1.0 release that requires a nightly Rust compiler (if you choose the SIMT track with cuda-oxide) so that one is going to be unstable software.

Secondly, When an issue occurs with a kernel or you want to write your own custom kernel in Rust, now we need to diagnose if the problem came from either cuda-oxide (SIMT), Rust's side, CUDA or Tile (If you decide to choose the Tile track).

Another dependency into the list and course everything is open source except CUDA itself. So any issue that happens on the CUDA level, you are forced to wait for them to fix it.

Re: Nvidia announces native GPU programming in Rust

#8

I'm looking forward to trying these when they stabilize! I currently use WGPU for graphics, and cudarc for CUDA. Note: Cuda-oxide is similar to Cudarc's host component, but uses a rust-style kernel dialect. Advantage: Share structs between host and device. Disadvantage: Trading standard Cuda kernels for a new, WIP dialect. I haven't tried the tile API yet; looking forward to it. The last time I checked, Cuda Oxide wa…

cudarc been great for me, because it's easy to look up existing examples and references, and it maps 1-to-1 with what I see. I'm already having a tough time with CUDA itself, a dialect of it makes a tad harder to rely on previous work.

Seems more ergonomic in general though, both approaches they share, compared to cudarc, and less build infrastructure and fiddling with environments, which is great.

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