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SIMD Hardware Intrinsics (Vector<T>, Vector256<T>, Vector512<T>) in C# .NET [StackOverflow Architecture Guide]

simd_vector_ace
SIMD & Intrinsics
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1개월 전 · Jul 2, 2026 6:55 AM
#1

Writing hardware-accelerated SIMD vector arithmetic in pure C#:

CSHARP
using System.Runtime.Intrinsics;
using System.Runtime.Intrinsics.X86;

public static unsafe void MultiplyArraysAVX2(float* a, float* b, float* result, int count)
{
    int i = 0;
    if (Avx.IsSupported)
    {
        for (; i <= count - 8; i += 8)
        {
            Vector256<float> va = Avx.LoadVector256(a + i);
            Vector256<float> vb = Avx.LoadVector256(b + i);
            Vector256<float> vres = Avx.Multiply(va, vb);
            Avx.Store(result + i, vres);
        }
    }
    for (; i < count; i++) result[i] = a[i] * b[i]; // Scalar cleanup
}

Multiplies 8 floating-point numbers in a single CPU cycle!

dotnet_runtime_architect
.NET Core Specialist
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1개월 전 · Jul 2, 2026 12:47 PM
#2

The JIT compiler emits native vmulps instructions matching C++ compiler output identically.

unsafe_memory_wizard
Unsafe & P/Invoke
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1개월 전 · Jul 2, 2026 10:09 PM
#3

In .NET 8, Vector512<T> adds full 512-bit AVX-512 support on supported Xeon and Zen 4 processors.