Stanford Infolab


Fast parallel code generation for data analytics frameworks. Developed at Stanford University.

Weld News

Release Notes



This release synchronizes GitHub releases with Cargo releases (there are no other changes beyond changing the Cargo.toml version number).


This release brings a new, optimized LLVM backend and updates to the core Weld APIs. It also removes multi-threading support for the time being, beause the old multi-threading design imposed undue overhead on single-threaded programs. In the future, threading will be re-introduced.

Detailed Notes