CUDA编程学习（四）

利用Block和Thread进行并行加速

_global_ void add(int *a, int *b, int *c) { int index = threadIdx.x + blockIdx.x * blockDim.x; c[index] = a[index] + b[index]; } #define N (2048*2048)

#define THREAD_PER_BLOCK 512



int main() { int *a, *b, *c;            //host copies of a, b, c

    int *d_a, *d_b, *d_c;    //device copies of a, b, c

    int size = N * sizeof(int); //Alloc space for device copies of a, b, c

    cudaMalloc((void **)&d_a, size); cudaMalloc((void **)&d_b, size); cudaMalloc((void **)&d_c, size); //Alloc space for host copies of a, b, c and setup input values

    a = (int *)malloc(size); random_ints(a, N); b = (int *)malloc(size); random_ints(b, N); c = (int *)malloc(size); //Copy the data into device

 cudeMemcpy(d_a, a, size, cudaMemcpyHostToDevice); cudaMemcpy(d_b, b, size, cudaMemcpyHostToDevice); //Launch add() kernel on GPU with N blocks

    add<<<N/THREADS_PER_BLOCK,THREADS_PER_BLOCK>>>(d_a, d_b, d_c); //Copy result back to host

 cudaMemcpy(c, d_c, size, cudaMemcpyDeviceToHost); //Cleanup

 free(a); free(b); free(c); cudeFree(d_a); cudaFree(d_b); cudaFree(d_c); return 0; } /**** What's the function of random_ints****/

void random_ints(int* a, int N) { int i; for (i = 0; i < N; ++i) a[i] = rand(); }