0_Simple__cppIntegration

▶ 分离编译【留坑，在 Linux 上用命令行试一下】

▶ 源代码：

 // cppIntegration_gold.cpp
 #include <vector_types.h>
 
 extern "C" void computeGold(char *reference, char *idata, const unsigned int len);
 extern "C" void computeGold2(int2 *reference, int2 *idata, const unsigned int len);
 
 void computeGold(char *reference, char *idata, const unsigned int len)
 {
     for (unsigned int i = ; i < len; ++i)
         reference[i] = idata[i] - ;
 }
 
 void computeGold2(int2 *reference, int2 *idata, const unsigned int len)
 {
     for (unsigned int i = ; i < len; ++i)
     {
         reference[i].x = idata[i].x - idata[i].y;
         reference[i].y = idata[i].y;
     }
 }

 // cppIntegration.cu
 #include <stdlib.h>
 #include <stdio.h>
 #include <string.h>
 #include <math.h>
 #include <assert.h>
 #include <cuda_runtime.h>
 #include <helper_cuda.h>
 #include <helper_functions.h>
 
 #ifndef MAX
 #define MAX(a,b) (a > b ? a : b)
 #endif
 
 extern "C" void computeGold(char *reference, char *idata, const unsigned int len);
 extern "C" void computeGold2(int2 *reference, int2 *idata, const unsigned int len);
 
 // GPU上的运算
 __global__ void kernel(int *g_data)
 {
     const unsigned int tid = threadIdx.x;
     int data = g_data[tid];
     // data 每个字节的值减去 10，再拼接到一起
     g_data[tid] = ((((data <<  ) >> ) - ) << ) | ((((data <<  ) >> ) - ) << ) | ((((data << ) >> ) - ) <<  ) | ((((data << ) >> ) - ) <<  ) ;
 }
 
 __global__ void kernel2(int2 *g_data)       // 使用 int2* 格式的输入
 {
     const unsigned int tid = threadIdx.x;
     int2 data = g_data[tid];
     g_data[tid].x = data.x - data.y;        // data.x 中每个元素减去 data.y 中对应元素的偏移量
 }
 
 // 测试不同的核函数处理的结果。输入两种格式的待处理数据，及其长度
 extern "C" bool runTest(char *data, int2 *data_int2, unsigned int len)
 {
     assert((len % ) == );                                                     // 要求数组长度为 4 的倍数
     const unsigned int num_threads = len / , mem_size = sizeof(char) * len, mem_size_int2 = sizeof(int2) * len;
 
     char *d_data;
     cudaMalloc((void **)&d_data, mem_size);
     cudaMemcpy(d_data, data, mem_size, cudaMemcpyHostToDevice);
     int2 *d_data_int2;
     cudaMalloc((void **)&d_data_int2, mem_size_int2);
     cudaMemcpy(d_data_int2, data_int2, mem_size_int2, cudaMemcpyHostToDevice);
 
     kernel << < dim3(, , ), dim3(num_threads, , ) >> > ((int *)d_data);
     kernel2 << < dim3(, , ), dim3(len, , ) >> > (d_data_int2);
 
     getLastCudaError("Kernel execution failed");                                // 检查和函数运行是否有错误，有错则输出这话
 
     char *reference = (char *)malloc(mem_size);                                 // 使用 CPU 计算
     computeGold(reference, data, len);
     printf("ref char*:%s\n", reference);
     int2 *reference2 = (int2 *)malloc(mem_size_int2);
     computeGold2(reference2, data_int2, len);
     printf("ref int2 :");
     for (int i = ; i < len;i++)
         printf("%c", reference2[i].x);
     printf("\n");
 
     cudaMemcpy(data, d_data, mem_size, cudaMemcpyDeviceToHost);
     cudaMemcpy(data_int2, d_data_int2, mem_size_int2, cudaMemcpyDeviceToHost);
     cudaDeviceSynchronize();
     printf("gpu char*:%s\n", (char *)data);
     printf("gpu int2 :");
     for (int i = ; i < len; i++)
         printf("%c", data_int2[i].x);
     printf("\n");
 
     cudaFree(d_data);
     cudaFree(d_data_int2);
     free(reference);
     free(reference2);
     return ;
 }

 // main.cpp
 #include <iostream>
 #include <cstdlib>
 #include <cuda_runtime.h>
 #include <vector_types.h>
 #include <helper_cuda.h>
 
 extern "C" bool runTest(char *data, int2 *data_int2, unsigned int len);
 
 int main()
 {
     const int len = ;
     int2 i2[];                    // cuda 内置的 int2 类型
     char str[len] = { , , , ,, , , , , , , , , , ,  };
     for (int i = ; i < len; i++)
     {
         i2[i].x = str[i];
         i2[i].y = ;
     }
     runTest(str, i2, len);
 
     getchar();
     return ;
 }

● 输出结果：

ref char*: Hello World.
ref int2 :Hello World.
gpu char*: Hello World.
gpu int2 :Hello World.

▶ 涨姿势：

● cuda 内置的 int2 类型，整数有序对。涉及的定义如下：

 #define __cuda_builtin_vector_align8(tag, members)  \
     struct __device_builtin__ __align__() tag      \
     {                                               \
         members                                     \
     }
 
 __cuda_builtin_vector_align8(int2, int x; int y;);
 
 typedef __device_builtin__ struct int2 int2;

● 警告函数和错误检查函数

 #define assert(expression) (void)                                                                   \
 (                                                                                                   \
 (!!(expression)) || (_wassert(_CRT_WIDE(#expression), _CRT_WIDE(__FILE__), (unsigned)(__LINE__)), )\
 )
 
 #define getLastCudaError(msg) __getLastCudaError (msg, __FILE__, __LINE__)
 
 inline void __getLastCudaError(const char *errorMessage, const char *file, const int line)
 {
     cudaError_t err = cudaGetLastError();
     if (cudaSuccess != err)
     {
         fprintf(stderr, "%s(%i) : getLastCudaError() CUDA error : %s : (%d) %s.\n",
             file, line, errorMessage, (int)err, cudaGetErrorString(err));
         DEVICE_RESET
         exit(EXIT_FAILURE);
     }
 }