如何将向量的数据传递给CUDA内核？

#include <cuda_runtime.h>
#include <device_launch_parameters.h>

__global__ void vectorAdd(const float* a, const float* b, float* c, int size) {
    int tid = blockIdx.x * blockDim.x + threadIdx.x;
    if (tid < size) {
        c[tid] = a[tid] + b[tid];
    }
}

int main() {
    int size = 1024;
    int memSize = size * sizeof(float);

    // 分配和初始化主机内存
    float* h_a = (float*)malloc(memSize);
    float* h_b = (float*)malloc(memSize);
    float* h_c = (float*)malloc(memSize);

    for (int i = 0; i < size; i++) {
        h_a[i] = i;
        h_b[i] = i;
    }

    // 分配设备内存
    float* d_a, * d_b, * d_c;
    cudaMalloc((void**)&d_a, memSize);
    cudaMalloc((void**)&d_b, memSize);
    cudaMalloc((void**)&d_c, memSize);

    // 将数据从主机内存复制到设备内存
    cudaMemcpy(d_a, h_a, memSize, cudaMemcpyHostToDevice);
    cudaMemcpy(d_b, h_b, memSize, cudaMemcpyHostToDevice);

    // 启动内核函数
    int blockSize = 256;
    int gridSize = (size + blockSize - 1) / blockSize;
    vectorAdd<<<gridSize, blockSize>>>(d_a, d_b, d_c, size);

    // 将结果从设备内存复制到主机内存
    cudaMemcpy(h_c, d_c, memSize, cudaMemcpyDeviceToHost);

    // 打印结果
    for (int i = 0; i < size; i++) {
        printf("%f ", h_c[i]);
    }

    // 释放内存
    free(h_a);
    free(h_b);
    free(h_c);
    cudaFree(d_a);
    cudaFree(d_b);
    cudaFree(d_c);

    return 0;
}