rust-cuda

>> Why is this? Why Rust is not loved there? History and demand. CUDA is about 15 years old. MPI and similar parallel computing APIs are even older. C, C++, and Fortran have been the "goto" programming languages for parallel and scientific computing for decades. Rust is a relative newcomer that does not have enough demand yet to mandate CUDA APIs. It probably will some day. Another concern is the number of decades-mature libraries that are used in parallel computing domains. It seems much more likely that any Rust support will initially be Rust wrappers around C or C++ APIs rather than native Rust implementations. Some projects for Rust on CUDA are in progress: https://github.com/Rust-GPU/Rust-CUDA https://github.com/bheisler/RustaCUDA

Rust CUDA compilers do exist. https://github.com/Rust-GPU/Rust-CUDA

Given your criteria, you might want to consider (modern) C++. * Fast - in many cases faster than Rust, although the difference is inconsequential relative to Python-to-Rust improvement I guess. * _Really_ utilize CUDA, OpenCL, Vulcan etc. Specifically, Rust GPU is limited in its supported features, see: https://github.com/Rust-GPU/Rust-CUDA/blob/master/guide/src/... ... * Host-side use of CUDA is at least as nice, and probably nicer, than what you'll get with Rust. That is, provided you use my own Modern C++ wrappers for the CUDA APIs: https://github.com/eyalroz/cuda-api-wrappers/ :-) ... sorry for the shameless self-plug. * ... which brings me to another point: Richer offering of libraries for various needs than Rust, for you to possibly utilize. * Easier to share than Rust. A target system is less likely to have an appropriate version