Julia's `ccall` is great in terms of overhead[0], so calling Rust shared libraries is not a problem. On the Rust side, it took me a while to figure out passing in pointers, and then constructing slices via from_raw_parts[_mut], so that I can transition to safe Rust. Perhaps that is obvious to more experienced Rust programmers, but I was left with the impression that receiving pointers and crunching numbers is not yet a common application for Rust (unlike C, C++, or Fortran). Meaning there is not a lot of introductory material coming from that angle at the moment. Additionally, to get good vectorization seems to require nightly and a fastfloat[1] library. In particular, you'd want associative math / fp-contract for fma and SIMD instructions, and perhaps fno-math-errno to turn off branches in functions like sqrt.

I imagine calling Rust from Julia will be much more common than calling Julia from Rust. I know approximately nothing about this, but there are plenty of questions about embedding Julia into C/C++[2][3]. May be similar for Rust.

[0] https://github.com/dyu/ffi-overhead [1] https://github.com/robsmith11/fastfloat [2] https://discourse.julialang.org/t/support-with-embedding-jul... [3] https://discourse.julialang.org/t/api-reference-for-julia-em...