From Julia to Rust: a differentiable tensor stack for scientific computing

Software Development, Programming Languages, Backend & APIs(tensor4all.org)view on HackerNews
Rusttensor stackscientific computinglinear algebraautodiffeinsumCPU/CUDA backends.

Author: postflopclarity

Date: 6/30/2026

Article Summary:
A new Rust-native dense tensor stack, tenferro-rs, is introduced for scientific computing, providing linear algebra, autodiff, and einsum capabilities, with explicit CPU/CUDA backends and extensible operations.