Rust CUDA Project

Summary, from someone who uses CUDA on rust in several projects (Computational chemistry and cosmology simulations):

  - This lib has been in an unusable and unmaintained state for years. I.e., to get it working, you need to use specific, several-years-old variants of both rustc, and CUDA.
  - It was recently rebooted. I haven't tried the Github branch, but there isn't a release yet. Has anyone verified if this is working on current Rustc and CUDA yet?
  - The Cudarc library (https://github.com/coreylowman/cudarc) is actively maintained, and works well. It does not, however, let you share host and device data structures; you will [de]serialize as a byte stream, using functions the lib provides. Works on any (within past few years at least) CUDA version and GPU.

I highlight this as a trend I see in software libs, in Rust more than others: The projects that are promoted the most are often not the most practical or well-managed ones. It's not clear from the description, but maybe rust-CUDA intends to allow shared data structures between host and device? That would be nice.

I think that's true in most newer languages, there's always a rush of libraries once a language starts to get popular, for example Go has lots http client libraries even though it also has an http library in the standard library.

relevant xkcd, https://xkcd.com/927/