SIMD

Modules: simd/simd_math, simd/simd_types

SIMD modules define vector types and math helpers used by the compiler/runtime SIMD lowering paths.

The native LLVM vector types exercised by the compiler are f32x4, f32x8, f64x2, f64x4, i32x4, and i32x8. Arithmetic returns another native vector, and horizontal reductions are receiver calls such as value.reduce_add(), value.reduce_min(), and value.reduce_max().

Helper functions include simd_f4_*, simd_f8_*, simd_reduce_sum, simd_prefix_sum, simd_min, simd_max, and simd_dot_product. Native vector expressions such as f32x4(...) + f32x4(...) lower as LLVM vector values and do not allocate temporary heap objects. The SimdFloat4 and SimdFloat8 wrapper types remain as handle-based compatibility APIs; runtime also exposes non-allocating *_into entrypoints for codegen or FFI paths that can provide caller-owned storage.

Low-level simd_load_* and simd_store_* builtins consume raw pointer addresses. They are not documented as (Array, offset) helpers; use reviewed raw-memory code or the stdlib array functions below.

Runtime array reductions for Array<Float> use the double-array storage used by Seen arrays, with AVX2 or NEON min/max/sum/dot/prefix paths where available and scalar fallbacks on unsupported targets. SIMD temporary storage in the compatibility wrappers is allocated through the same budget-aware aligned allocator used by the rest of the runtime.

See SIMD and GPU for usage and CLI controls.