CUDA数据结构体在GPU和CPU之间的传输

参照《cuda c编程权威指南》上写出的，在CPU和GPU互相传输结构体。

#include "cuda_runtime.h"
#include "device_launch_parameters.h"

#include 
#include


#define maxnumber 100
typedef struct node {
	int x[maxnumber];
	int y[maxnumber];
	int test[maxnumber][maxnumber];
} Node;
__global__ void gpuAddwith(Node* a,Node*c) {
	int tid = threadIdx.x;
	c->x[tid] = a->x[tid] + a->y[tid];
	c->y[tid] = tid;
	c->test[tid][1] = 0;
	c->test[tid][2] = 0;
}

void Print(Node* a) {
	for (int i = 0; i < maxnumber; i++) {
		printf("a[%d]x=%d y=%d  test[1] is:%d    test[2]is:%d\n", i, a->x[i], a->y[i],a->test[i][1], a->test[i][2]);

	}
}
int main(){

	Node* h_a;
	h_a = (Node*)malloc(sizeof(Node)*maxnumber);
	for (int i = 0; i < maxnumber; i++) {
		h_a->x[i] = i;
		h_a->y[i] = maxnumber - i;
		for (int j = 0; j < maxnumber; j++) {
			h_a->test[i][j] = i * maxnumber + j;
		}
	}

	Print(h_a);
	Node* d_a,*d_c;
	cudaMalloc((Node**)&d_a, sizeof(Node) * maxnumber);
	cudaMalloc((Node**)&d_c, sizeof(Node) * maxnumber);
	cudaMemcpy(d_a, h_a, sizeof(Node) * maxnumber, cudaMemcpyHostToDevice);
	cudaMemcpy(d_c, h_a, sizeof(Node) * maxnumber, cudaMemcpyHostToDevice);
	gpuAddwith << <1,1000 >> > (d_a,d_c);

	cudaMemcpy(h_a,d_c , sizeof(Node) * maxnumber, cudaMemcpyDeviceToHost);

	Print(h_a);
	cudaFree(d_a);
	cudaFree(d_c);
	free(h_a);
	return 0;
}