c# 通过GPU实现DES加解密源码

以下是基于GPU实现DES加解密的C#源代码，使用了CUDA技术：

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using ManagedCuda;
using ManagedCuda.BasicTypes;
using ManagedCuda.VectorTypes;
using ManagedCuda.NVRTC;

namespace DES_GPU
{
    class Program
    {
        static void Main(string[] args)
        {

            const int BLOCK_SIZE = 512;
            const int KEY_SIZE = 8;
            const int BLOCK_COUNT = 1024;
            const int MESSAGE_SIZE = BLOCK_COUNT * BLOCK_SIZE;

            byte[] key = new byte[KEY_SIZE] { 0x01, 0x23, 0x45, 0x67, 0x89, 0xab, 0xcd, 0xef };
            byte[] message = new byte[MESSAGE_SIZE];
            byte[] output = new byte[MESSAGE_SIZE];

            Random rnd = new Random();
            for (int i = 0; i < MESSAGE_SIZE; i++)
                message[i] = (byte)rnd.Next(256);

            // Load CUDA module from file
            CudaContext ctx = new CudaContext();
            CudaKernel kernel = ctx.LoadKernel("des.cu", "des");
            CudaDeviceVariable<byte> devKey = new CudaDeviceVariable<byte>(KEY_SIZE);
            CudaDeviceVariable<byte> devMessage = new CudaDeviceVariable<byte>(MESSAGE_SIZE);
            CudaDeviceVariable<byte> devOutput = new CudaDeviceVariable<byte>(MESSAGE_SIZE);

            // Copy data to device memory
            devKey.CopyToDevice(key);
            devMessage.CopyToDevice(message);
            devOutput.CopyToDevice(output);

            // Set kernel parameters
            int sharedMemSize = BLOCK_SIZE * 2 * sizeof(byte);
            kernel.BlockDimensions = BLOCK_SIZE;
            kernel.GridDimensions = BLOCK_COUNT;

            // Launch kernel
            kernel.Run(
                devKey.DevicePointer,
                devMessage.DevicePointer,
                devOutput.DevicePointer,
                MESSAGE_SIZE,
                sharedMemSize
                );

            // Copy results back to host memory
            devOutput.CopyToHost(output);

            // Cleanup
            ctx.Dispose();
            devKey.Dispose();
            devMessage.Dispose();
            devOutput.Dispose();
        }
    }
}

此处用到了CUDA技术，需要引用ManagedCuda库。同时，需要将加解密算法实现在CUDA的C语言代码中，然后通过C#调用CUDA kernel来实现GPU加解密。

以下是CUDA C语言代码：

__device__ __forceinline__ void DesRound(unsigned char *left, unsigned char *right, unsigned char *key)
{
    unsigned char temp[4];
    unsigned char temp2[4];

    memcpy(temp, right, 4);
    memcpy(right, left, 4);

    // F function
    temp2[0] = right[3];
    temp2[1] = right[0];
    temp2[2] = right[1];
    temp2[3] = right[2];

    temp2[0] ^= key[0];
    temp2[1] ^= key[1];
    temp2[2] ^= key[2];
    temp2[3] ^= key[3];

    temp[0] ^= temp2[DES_S1[0]];
    temp[1] ^= temp2[DES_S1[1]];
    temp[2] ^= temp2[DES_S1[2]];
    temp[3] ^= temp2[DES_S1[3]];

    temp[0] ^= temp2[DES_S2[0]];
    temp[1] ^= temp2[DES_S2[1]];
    temp[2] ^= temp2[DES_S2[2]];
    temp[3] ^= temp2[DES_S2[3]];

    temp[0] ^= temp2[DES_S3[0]];
    temp[1] ^= temp2[DES_S3[1]];
    temp[2] ^= temp2[DES_S3[2]];
    temp[3] ^= temp2[DES_S3[3]];

    temp[0] ^= temp2[DES_S4[0]];
    temp[1] ^= temp2[DES_S4[1]];
    temp[2] ^= temp2[DES_S4[2]];
    temp[3] ^= temp2[DES_S4[3]];

    temp2[0] = temp[1];
    temp2[1] = temp[2];
    temp2[2] = temp[3];
    temp2[3] = temp[0];

    temp[0] ^= temp2[DES_S5[0]];
    temp[1] ^= temp2[DES_S5[1]];
    temp[2] ^= temp2[DES_S5[2]];
    temp[3] ^= temp2[DES_S5[3]];

    temp[0] ^= temp2[DES_S6[0]];
    temp[1] ^= temp2[DES_S6[1]];
    temp[2] ^= temp2[DES_S6[2]];
    temp[3] ^= temp2[DES_S6[3]];

    temp[0] ^= temp2[DES_S7[0]];
    temp[1] ^= temp2[DES_S7[1]];
    temp[2] ^= temp2[DES_S7[2]];
    temp[3] ^= temp2[DES_S7[3]];

    temp[0] ^= temp2[DES_S8[0]];
    temp[1] ^= temp2[DES_S8[1]];
    temp[2] ^= temp2[DES_S8[2]];
    temp[3] ^= temp2[DES_S8[3]];

    temp2[0] = temp[3];
    temp2[1] = temp[0];
    temp2[2] = temp[1];
    temp2[3] = temp[2];

    memcpy(left, temp2, 4);
}

__device__ __forceinline__ void DesEncryptBlock(unsigned char *block, unsigned char *key)
{
    unsigned char keySchedule[16][6];
    unsigned char left[4];
    unsigned char right[4];
    unsigned char temp[4];

    memcpy(left, block, 4);
    memcpy(right, block + 4, 4);

    // Generate key schedule
    DesGenerateKeySchedule(keySchedule, key);

    // Initial permutation
    DesInitialPermutation(left, right);

    // 16 rounds of encryption
    for (int i = 0; i < 16; i++)
    {
        memcpy(temp, right, 4);
        DesRound(left, right, keySchedule[i]);
        memcpy(keySchedule[i], temp, 4);
        memcpy(keySchedule[i] + 4, right, 2);
    }

    // Final permutation
    DesFinalPermutation(left, right);

    memcpy(block, right, 4);
    memcpy(block + 4, left, 4);
}

__device__ __forceinline__ void DesDecryptBlock(unsigned char *block, unsigned char *key)
{
    unsigned char keySchedule[16][6];
    unsigned char left[4];
    unsigned char right[4];
    unsigned char temp[4];

    memcpy(right, block, 4);
    memcpy(left, block + 4, 4);

    // Generate key schedule
    DesGenerateKeySchedule(keySchedule, key);

    // Initial permutation
    DesInitialPermutation(left, right);

    // 16 rounds of decryption
    for (int i = 15; i >= 0; i--)
    {
        memcpy(temp, left, 4);
        DesRound(right, left, keySchedule[i]);
        memcpy(keySchedule[i], right, 2);
        memcpy(keySchedule[i] + 2, temp, 4);
    }

    // Final permutation
    DesFinalPermutation(left, right);

    memcpy(block, right, 4);
    memcpy(block + 4, left, 4);
}

__global__ void des(unsigned char *key, unsigned char *message, unsigned char *output, int messageSize, int sharedMemSize)
{
    __shared__ unsigned char block[1024][8];
    __shared__ unsigned char keySchedule[1024][16][6];

    int threadIndex = threadIdx.x;
    int blockIndex = blockIdx.x;

    // Load block into shared memory
    if (threadIndex < 8)
        block[blockIndex][threadIndex] = message[blockIndex * 8 + threadIndex];

    __syncthreads();

    // Generate key schedule
    DesGenerateKeySchedule(keySchedule[blockIndex], key);

    // Encrypt block
    DesEncryptBlock(block[blockIndex], keySchedule[blockIndex][0]);

    // Decrypt block
    DesDecryptBlock(block[blockIndex], keySchedule[blockIndex][15]);

    // Store block in global memory
    if (threadIndex < 8)
        output[blockIndex * 8 + threadIndex] = block[blockIndex][threadIndex];
}

此处实现了DES加解密算法。在CUDA kernel中，每个线程负责处理一个8字节的数据块，用shared memory缓存加速。

注意：此代码仅为示例代码，实际应用需要根据具体需求进行调整和优化。