-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathex02.cu
51 lines (39 loc) · 1.03 KB
/
ex02.cu
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
// CUDA programming
// Exercise n. 02
#include <errno.h>
#include <cuda.h>
#include <stdio.h>
#define BLOCKS 1
#define THREADS 1
// Prototype
__global__ void add(int *a, int *b, int *c);
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 = sizeof(int);
// Setup input values
a = 5;
b = 9;
// Allocate space for device copies of a, b, c
cudaMalloc((void **)&d_a, size);
cudaMalloc((void **)&d_b, size);
cudaMalloc((void **)&d_c, size);
// Copy inputs to device
cudaMemcpy(d_a, &a, size, cudaMemcpyHostToDevice);
cudaMemcpy(d_b, &b, size, cudaMemcpyHostToDevice);
// Call the kernel on GPU
add<<< BLOCKS, THREADS >>>(d_a, d_b, d_c);
// Copy result back to host
cudaMemcpy(&c, d_c, size, cudaMemcpyDeviceToHost);
// Cleanup
cudaFree(d_a);
cudaFree(d_b);
cudaFree(d_c);
return(EXIT_SUCCESS);
}
// Addition (on device)
__global__ void add(int *a, int *b, int *c)
{
*c = *a + *b;
}