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CUDA编程学习(二)
将数据加载到GPU后,如何在grid下的block进行并行计算(一个grid包含多个block)
/****How do we run code in parallel on the device****/ /****Use block****/ _global_ void add(int *a, int *b, int *c){ c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];}#define N 512int 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,1>>>(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();}
CUDA编程学习(二)
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