#include <stdio.h>
#include <cuda.h>
__global__ void add(int *a, int *b, int *c, int n) {
int index = threadIdx.x + blockIdx.x * blockDim.x;
if (index < n)
c[index] = a[index] + b[index];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
}
// Note: N is a multiple of Threads....
#define N (2048*2048)
#define THREADS_PER_BLOCK 512
int main(void) {
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
);
// Copy inputs to device
cudaMemcpy(d_a, a, size, cudaMemcpyHostToDevice);
cudaMemcpy(d_b, b, size, cudaMemcpyHostToDevice);
// Launch add() kernel on GPU with N blocks
add<<<(N + THREADS_PER_BLOCK - 1)/THREADS_PER_BLOCK,THREADS_PER_BLOCK>>>(d_a, d_b, d_c, N);
// Copy result back to host
cudaMemcpy(c, d_c, size, cudaMemcpyDeviceToHost);
// Cleanup
cudaFree(d_a); cudaFree(d_b); cudaFree(d_c);
return 0;
}