Class SimdMatMul

Namespace

NumSharp.Backends.Kernels

Assembly

NumSharp.dll

High-performance SIMD matrix multiplication with cache blocking and panel packing. Single-threaded implementation achieving ~20 GFLOPS on modern CPUs.

Key optimizations:

• GEBP (General Block Panel) algorithm with cache blocking
• Full panel packing: A as [kc][MR] panels, B as [kc][NR] panels
• 8x16 micro-kernel with 16 Vector256 accumulators
• FMA (Fused Multiply-Add) for 2x FLOP throughput
• 4x k-loop unrolling for instruction-level parallelism

public static class SimdMatMul

Inheritance

object

SimdMatMul

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

MatMulFloat(float*, float*, float*, long, long, long)

Matrix multiply: C = A * B A is [M x K], B is [K x N], C is [M x N] All matrices must be row-major contiguous.

public static void MatMulFloat(float* A, float* B, float* C, long M, long N, long K)

Parameters

A float*

B float*

C float*

M long

N long

K long

Remarks

Supports long dimensions for arrays > 2B elements. Cache blocking (MC, KC, MR, NR) keeps inner loops within int range. Outer loops and index calculations use long arithmetic.