lo/docs/data/simd-min.md

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

name	slug	sourceRef	category	subCategory	similarHelpers	position	signatures
Min	min	exp/simd/math_avx.go#L833	exp	simd	exp#simd#min	20	func MinInt8x16[T ~int8](collection []T) T func MinInt8x32[T ~int8](collection []T) T func MinInt8x64[T ~int8](collection []T) T func MinInt16x8[T ~int16](collection []T) T func MinInt16x16[T ~int16](collection []T) T func MinInt16x32[T ~int16](collection []T) T func MinInt32x4[T ~int32](collection []T) T func MinInt32x8[T ~int32](collection []T) T func MinInt32x16[T ~int32](collection []T) T func MinInt64x2[T ~int64](collection []T) T func MinInt64x4[T ~int64](collection []T) T func MinInt64x8[T ~int64](collection []T) T func MinUint8x16[T ~uint8](collection []T) T func MinUint8x32[T ~uint8](collection []T) T func MinUint8x64[T ~uint8](collection []T) T func MinUint16x8[T ~uint16](collection []T) T func MinUint16x16[T ~uint16](collection []T) T func MinUint16x32[T ~uint16](collection []T) T func MinUint32x4[T ~uint32](collection []T) T func MinUint32x8[T ~uint32](collection []T) T func MinUint32x16[T ~uint32](collection []T) T func MinUint64x2[T ~uint64](collection []T) T func MinUint64x4[T ~uint64](collection []T) T func MinUint64x8[T ~uint64](collection []T) T func MinFloat32x4[T ~float32](collection []T) T func MinFloat32x8[T ~float32](collection []T) T func MinFloat32x16[T ~float32](collection []T) T func MinFloat64x2[T ~float64](collection []T) T func MinFloat64x4[T ~float64](collection []T) T func MinFloat64x8[T ~float64](collection []T) T

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

Requirements

• Go 1.26+ with GOEXPERIMENT=simd
• amd64 architecture only

CPU compatibility

SIMD variant	Lanes	Required flags	Typical CPUs
AVX (xN)	2-16	avx	All amd64
AVX2 (xN)	4-32	avx2	Intel Haswell+, AMD Excavator+
AVX-512 (xN)	8-64	avx512f	Intel Skylake-X+, some Xeons

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+
min := simd.MinInt8x32([]int8{5, 2, 8, 1, 9})
// 1

// Using AVX-512 variant (16 lanes at once) - Intel Skylake-X+
min := simd.MinFloat32x16([]float32{3.5, 1.2, 4.8, 2.1})
// 1.2

// Using AVX variant (4 lanes at once) - works on all amd64
min := simd.MinInt32x4([]int32{100, 50, 200, 75})
// 50

// Empty collection returns 0
min := simd.MinUint16x8([]uint16{})
// 0