受到ArekBulski发布的EqualBytesLongUnrolled方法的启发，我确定了一个附加优化的解决方案。在我的实例中，数组中的数组差异往往在数组的尾部附近。在测试中，我发现当这种情况发生在大型数组中时，能够以相反的顺序比较数组元素使这种解决方案比基于memcmp的解决方案获得了巨大的性能提升。下面是解决方案:

public enum CompareDirection { Forward, Backward }

private static unsafe bool UnsafeEquals(byte[] a, byte[] b, CompareDirection direction = CompareDirection.Forward)
{
    // returns when a and b are same array or both null
    if (a == b) return true;

    // if either is null or different lengths, can't be equal
    if (a == null || b == null || a.Length != b.Length)
        return false;

    const int UNROLLED = 16;                // count of longs 'unrolled' in optimization
    int size = sizeof(long) * UNROLLED;     // 128 bytes (min size for 'unrolled' optimization)
    int len = a.Length;
    int n = len / size;         // count of full 128 byte segments
    int r = len % size;         // count of remaining 'unoptimized' bytes

    // pin the arrays and access them via pointers
    fixed (byte* pb_a = a, pb_b = b)
    {
        if (r > 0 && direction == CompareDirection.Backward)
        {
            byte* pa = pb_a + len - 1;
            byte* pb = pb_b + len - 1;
            byte* phead = pb_a + len - r;
            while(pa >= phead)
            {
                if (*pa != *pb) return false;
                pa--;
                pb--;
            }
        }

        if (n > 0)
        {
            int nOffset = n * size;
            if (direction == CompareDirection.Forward)
            {
                long* pa = (long*)pb_a;
                long* pb = (long*)pb_b;
                long* ptail = (long*)(pb_a + nOffset);
                while (pa < ptail)
                {
                    if (*(pa + 0) != *(pb + 0) || *(pa + 1) != *(pb + 1) ||
                        *(pa + 2) != *(pb + 2) || *(pa + 3) != *(pb + 3) ||
                        *(pa + 4) != *(pb + 4) || *(pa + 5) != *(pb + 5) ||
                        *(pa + 6) != *(pb + 6) || *(pa + 7) != *(pb + 7) ||
                        *(pa + 8) != *(pb + 8) || *(pa + 9) != *(pb + 9) ||
                        *(pa + 10) != *(pb + 10) || *(pa + 11) != *(pb + 11) ||
                        *(pa + 12) != *(pb + 12) || *(pa + 13) != *(pb + 13) ||
                        *(pa + 14) != *(pb + 14) || *(pa + 15) != *(pb + 15)
                    )
                    {
                        return false;
                    }
                    pa += UNROLLED;
                    pb += UNROLLED;
                }
            }
            else
            {
                long* pa = (long*)(pb_a + nOffset);
                long* pb = (long*)(pb_b + nOffset);
                long* phead = (long*)pb_a;
                while (phead < pa)
                {
                    if (*(pa - 1) != *(pb - 1) || *(pa - 2) != *(pb - 2) ||
                        *(pa - 3) != *(pb - 3) || *(pa - 4) != *(pb - 4) ||
                        *(pa - 5) != *(pb - 5) || *(pa - 6) != *(pb - 6) ||
                        *(pa - 7) != *(pb - 7) || *(pa - 8) != *(pb - 8) ||
                        *(pa - 9) != *(pb - 9) || *(pa - 10) != *(pb - 10) ||
                        *(pa - 11) != *(pb - 11) || *(pa - 12) != *(pb - 12) ||
                        *(pa - 13) != *(pb - 13) || *(pa - 14) != *(pb - 14) ||
                        *(pa - 15) != *(pb - 15) || *(pa - 16) != *(pb - 16)
                    )
                    {
                        return false;
                    }
                    pa -= UNROLLED;
                    pb -= UNROLLED;
                }
            }
        }

        if (r > 0 && direction == CompareDirection.Forward)
        {
            byte* pa = pb_a + len - r;
            byte* pb = pb_b + len - r;
            byte* ptail = pb_a + len;
            while(pa < ptail)
            {
                if (*pa != *pb) return false;
                pa++;
                pb++;
            }
        }
    }

    return true;
}

. net 3.5及更新版本有一个新的公共类型System.Data.Linq.Binary，它封装了byte[]。它实现了IEquatable<Binary>，(实际上)比较两个字节数组。注意System.Data.Linq.Binary也有来自byte[]的隐式转换运算符。

MSDN文档:System.Data.Linq.Binary

Equals方法的反射器反编译:

private bool EqualsTo(Binary binary)
{
    if (this != binary)
    {
        if (binary == null)
        {
            return false;
        }
        if (this.bytes.Length != binary.bytes.Length)
        {
            return false;
        }
        if (this.hashCode != binary.hashCode)
        {
            return false;
        }
        int index = 0;
        int length = this.bytes.Length;
        while (index < length)
        {
            if (this.bytes[index] != binary.bytes[index])
            {
                return false;
            }
            index++;
        }
    }
    return true;
}

有趣的是，只有当两个Binary对象的哈希值相同时，它们才会进行逐字节比较循环。然而，这是以在二进制对象的构造函数中计算哈希值为代价的(通过使用for loop:-)遍历数组)。

上述实现意味着，在最坏的情况下，您可能必须遍历数组三次:首先计算array1的哈希值，然后计算array2的哈希值，最后(因为这是最坏的情况，长度和哈希值相等)比较array1中的字节和数组2中的字节。

总的来说，即使System.Data.Linq.Binary被内置到BCL中，我不认为这是比较两个字节数组的最快方法:-|。

我在这里没有看到很多linq解决方案。

我不确定性能的影响，但我通常坚持linq作为经验法则，然后在必要时进行优化。

public bool CompareTwoArrays(byte[] array1, byte[] array2)
 {
   return !array1.Where((t, i) => t != array2[i]).Any();
 }

请注意，这只适用于它们是相同大小的数组。 一个扩展可能是这样的

public bool CompareTwoArrays(byte[] array1, byte[] array2)
 {
   if (array1.Length != array2.Length) return false;
   return !array1.Where((t, i) => t != array2[i]).Any();
 }

如果你不反对这样做，你可以导入j#程序集“vjslib.dll”并使用它的数组。= (byte[]， byte[])方法…

如果有人嘲笑你，不要怪我……

编辑:为了它的价值，我使用Reflector来反汇编代码，下面是它的样子:

public static bool equals(sbyte[] a1, sbyte[] a2)
{
  if (a1 == a2)
  {
    return true;
  }
  if ((a1 != null) && (a2 != null))
  {
    if (a1.Length != a2.Length)
    {
      return false;
    }
    for (int i = 0; i < a1.Length; i++)
    {
      if (a1[i] != a2[i])
      {
        return false;
      }
    }
    return true;
  }
  return false;
}

你可以使用Enumerable。SequenceEqual方法。

using System;
using System.Linq;
...
var a1 = new int[] { 1, 2, 3};
var a2 = new int[] { 1, 2, 3};
var a3 = new int[] { 1, 2, 4};
var x = a1.SequenceEqual(a2); // true
var y = a1.SequenceEqual(a3); // false

如果你因为某些原因不能使用. net 3.5，你的方法是可以的。 编译器运行时环境会优化你的循环，所以你不需要担心性能。

我想到了许多显卡内置的块传输加速方法。但是这样你就必须按字节复制所有的数据，所以如果你不想在非托管和依赖硬件的代码中实现你的整个逻辑，这对你没有多大帮助……

Another way of optimization similar to the approach shown above would be to store as much of your data as possible in a long[] rather than a byte[] right from the start, for example if you are reading it sequentially from a binary file, or if you use a memory mapped file, read in data as long[] or single long values. Then, your comparison loop will only need 1/8th of the number of iterations it would have to do for a byte[] containing the same amount of data. It is a matter of when and how often you need to compare vs. when and how often you need to access the data in a byte-by-byte manner, e.g. to use it in an API call as a parameter in a method that expects a byte[]. In the end, you only can tell if you really know the use case...