Constrained languages are easier to optimize
9 months ago
- #programming-languages
- #performance
- #optimization
- Modern low-level languages are hard to optimize due to complex alias analysis and memory allocation/deallocation.
- Haskell's referential transparency allows for easier optimizations like stream fusion, unlike C which struggles with pointer aliasing.
- Futhark, a functional parallel language, achieves high performance by using unboxed fixed-size integers and static array size constraints.
- SQL's declarative nature allows for significant performance improvements over time, as seen in Postgres benchmarks.
- Raw pointers are sometimes necessary for specific memory optimizations, but their use should be minimized in general-purpose languages.
- Rust is a step in the right direction with opt-in raw pointers and functional paradigms that enable optimizations.
- The future lies in meta-languages that facilitate easy interoperation between specialized languages for optimal performance.