How does Julia handle floating-point SIMD vectorization?

Julia leverages LLVM to auto-vectorize floating-point operations using SIMD instructions.

When loops are type-stable and memory aligned, LLVM can convert scalar operations into SIMD instructions that process multiple data points per CPU cycle. Julia exposes SIMD-friendly patterns through broadcasting and avoids aliasing issues that prevent vectorization.