lo/docs/data/simd-max.md

name, slug, sourceRef, category, subCategory, similarHelpers, position, signatures

name	slug	sourceRef	category	subCategory	similarHelpers	position	signatures
Max	max	exp/simd/math_avx.go#L1279	exp	simd	exp#simd#max	30	func MaxInt8x16[T ~int8](collection []T) T func MaxInt8x32[T ~int8](collection []T) T func MaxInt8x64[T ~int8](collection []T) T func MaxInt16x8[T ~int16](collection []T) T func MaxInt16x16[T ~int16](collection []T) T func MaxInt16x32[T ~int16](collection []T) T func MaxInt32x4[T ~int32](collection []T) T func MaxInt32x8[T ~int32](collection []T) T func MaxInt32x16[T ~int32](collection []T) T func MaxInt64x2[T ~int64](collection []T) T func MaxInt64x4[T ~int64](collection []T) T func MaxInt64x8[T ~int64](collection []T) T func MaxUint8x16[T ~uint8](collection []T) T func MaxUint8x32[T ~uint8](collection []T) T func MaxUint8x64[T ~uint8](collection []T) T func MaxUint16x8[T ~uint16](collection []T) T func MaxUint16x16[T ~uint16](collection []T) T func MaxUint16x32[T ~uint16](collection []T) T func MaxUint32x4[T ~uint32](collection []T) T func MaxUint32x8[T ~uint32](collection []T) T func MaxUint32x16[T ~uint32](collection []T) T func MaxUint64x2[T ~uint64](collection []T) T func MaxUint64x4[T ~uint64](collection []T) T func MaxUint64x8[T ~uint64](collection []T) T func MaxFloat32x4[T ~float32](collection []T) T func MaxFloat32x8[T ~float32](collection []T) T func MaxFloat32x16[T ~float32](collection []T) T func MaxFloat64x2[T ~float64](collection []T) T func MaxFloat64x4[T ~float64](collection []T) T func MaxFloat64x8[T ~float64](collection []T) T

Finds the maximum value in a collection using SIMD instructions. The suffix (x2, x4, x8, x16, x32, x64) indicates the number of lanes processed simultaneously.

Note

: Choose the variant matching your CPU's capabilities. Higher lane counts provide better performance but require newer CPU support.

// Using AVX2 variant (32 lanes at once) - Intel Haswell+ / AMD Excavator+
max := simd.MaxInt8x32([]int8{5, 2, 8, 1, 9})
// 9

// Using AVX-512 variant (16 lanes at once) - Intel Skylake-X+
max := simd.MaxFloat32x16([]float32{3.5, 1.2, 4.8, 2.1})
// 4.8

// Using AVX variant (4 lanes at once) - works on all amd64
max := simd.MaxInt32x4([]int32{100, 50, 200, 75})
// 200

// Empty collection returns 0
max := simd.MaxUint16x8([]uint16{})
// 0