当数据量大的时候用普通代码计算非常耗时,这里简单利用simd加速处理
internal unsafe class Vector256Helper
{
/// <summary>
/// 统计元素个数
/// </summary>
/// <param name="array"></param>
/// <param name="elementToCount">需要统计的元素</param>
/// <returns></returns>
public static int Count(int[] array, int elementToCount)
{
int count = 0;
int vectorSize = Vector256<int>.Count;
int limit = array.Length - (array.Length % vectorSize);
fixed (int* pArray = array)
{
int* ptr = pArray;
var target = Vector256.Create(elementToCount);
Vector256<int> equalMask = Vector256<int>.Zero;
for (int i = 0; i < limit; i += vectorSize)
{
Vector256<int> vector = Avx.LoadVector256(ptr + i);
equalMask += Avx2.CompareEqual(vector, target);
}
int* equalMaskPtr = (int*)&equalMask;
for (int j = 0; j < vectorSize; j++)
{
count += -*(equalMaskPtr + j);
}
// 处理剩余的元素
for (int i = limit; i < array.Length; i++)
{
if (*(pArray + i) == elementToCount)
count++;
}
}
return count;
}
/// <summary>
/// 求和
/// </summary>
/// <param name="buffer"></param>
/// <returns></returns>
public static int Sum(int[] buffer)
{
int vectorSize = Vector256<int>.Count;
int sum4 = 0;
Vector256<int> sumV = Vector256<int>.Zero;
int j;
int m = buffer.Length - vectorSize;
fixed (int* p = buffer)
{
for (j = 0; j <= m; j += vectorSize)
{
sumV += Avx2.LoadVector256(p + j);
}
int* ptr = (int*)&sumV;
for (int i = 0; i < vectorSize; i++)
{
sum4 += *(ptr + i);
}
// 处理剩余的元素
for (; j < buffer.Length; j++)
{
sum4 += *(p + j);
}
}
return sum4;
}
/// <summary>
/// 求平均数
/// </summary>
/// <param name="buffer"></param>
/// <returns></returns>
public double Avg(int[] buffer)
{
int sum = Sum(buffer);
return sum / (double)buffer.Length;
}
/// <summary>
/// 求最大值
/// </summary>
/// <param name="array"></param>
/// <returns></returns>
public static int Max(int[] array)
{
int vectorSize = Vector256<int>.Count;
int limit = array.Length - (array.Length % vectorSize);
fixed (int* pArray = array)
{
int maxElement = *pArray;
Vector256<int> vectorMax = Avx2.LoadVector256(pArray);
for (int i = 1; i < limit; i += vectorSize)
{
Vector256<int> vector = Avx2.LoadVector256(pArray + i);
vectorMax = Avx2.Max(vectorMax, vector);
}
int* maxPtr = (int*)&vectorMax;
for (int j = 0; j < vectorSize; j++)
{
maxElement = Math.Max(maxElement, *(maxPtr + j));
}
for (int i = limit; i < array.Length; i++)
{
maxElement = Math.Max(maxElement, *(pArray + i));
}
return maxElement;
}
}
/// <summary>
/// 求最小值
/// </summary>
/// <param name="array"></param>
/// <returns></returns>
public static int Min(int[] array)
{
int vectorSize = Vector256<int>.Count;
int limit = array.Length - (array.Length % vectorSize);
fixed (int* pArray = array)
{
int maxElement = *pArray;
Vector256<int> vectorMin = Avx2.LoadVector256(pArray);
for (int i = 1; i < limit; i += vectorSize)
{
Vector256<int> vector = Avx2.LoadVector256(pArray + i);
vectorMin = Avx2.Min(vectorMin, vector);
}
int* maxPtr = (int*)&vectorMin;
for (int j = 0; j < vectorSize; j++)
{
maxElement = Math.Min(maxElement, *(maxPtr + j));
}
for (int i = limit; i < array.Length; i++)
{
maxElement = Math.Min(maxElement, *(pArray + i));
}
return maxElement;
}
}
}