-
Notifications
You must be signed in to change notification settings - Fork 160
/
inc_vector.c
42 lines (35 loc) · 1.47 KB
/
inc_vector.c
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
/*
Increment a vector, one value per work item.
It is useless to do this on a GPU, not enough work / IO,
it's just a clEnqueueNDRangeKernel + get_global_id hello world.
- http://stackoverflow.com/questions/15194798/vector-step-addition-slower-on-cuda
- http://stackoverflow.com/questions/22005405/how-to-add-up-the-elements-of-an-array-in-gpu-any-function-similar-to-cublasdas
- http://stackoverflow.com/questions/15161575/reduction-for-sum-of-vector-when-size-is-not-power-of-2
*/
#include "common.h"
int main(void) {
const char *source =
"__kernel void kmain(__global int *out) {\n"
" out[get_global_id(0)]++;\n"
"}\n"
;
cl_int input[] = {1, 2};
cl_mem buffer;
Common common;
const size_t global_work_size = sizeof(input) / sizeof(input[0]);
/* Run kernel. */
common_init(&common, source);
buffer = clCreateBuffer(common.context, CL_MEM_READ_WRITE | CL_MEM_COPY_HOST_PTR, sizeof(input), input, NULL);
clSetKernelArg(common.kernel, 0, sizeof(buffer), &buffer);
clEnqueueNDRangeKernel(common.command_queue, common.kernel, 1, NULL, &global_work_size, NULL, 0, NULL, NULL);
clFlush(common.command_queue);
clFinish(common.command_queue);
clEnqueueReadBuffer(common.command_queue, buffer, CL_TRUE, 0, sizeof(input), input, 0, NULL, NULL);
/* Assertions. */
assert(input[0] == 2);
assert(input[1] == 3);
/* Cleanup. */
clReleaseMemObject(buffer);
common_deinit(&common);
return EXIT_SUCCESS;
}