-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathVectorAdd.c
More file actions
executable file
·80 lines (61 loc) · 2.49 KB
/
VectorAdd.c
File metadata and controls
executable file
·80 lines (61 loc) · 2.49 KB
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
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
// MP 1
#include <wb.h>
__global__ void vecAdd(float *in1, float *in2, float *out, int len) {
//@@ Insert code to implement vector addition here
int i = threadIdx.x + blockDim.x * blockIdx.x;
if (i<len){ out[i] = in1[i] + in2[i]; }
}
int main(int argc, char **argv) {
wbArg_t args;
int inputLength;
float *hostInput1;
float *hostInput2;
float *hostOutput;
float *deviceInput1;
float *deviceInput2;
float *deviceOutput;
args = wbArg_read(argc, argv);
wbTime_start(Generic, "Importing data and creating memory on host");
hostInput1 =
(float *)wbImport(wbArg_getInputFile(args, 0), &inputLength);
hostInput2 =
(float *)wbImport(wbArg_getInputFile(args, 1), &inputLength);
hostOutput = (float *)malloc(inputLength * sizeof(float));
wbTime_stop(Generic, "Importing data and creating memory on host");
wbLog(TRACE, "The input length is ", inputLength);
wbTime_start(GPU, "Allocating GPU memory.");
//@@ Allocate GPU memory here
cudaMalloc((void **) &deviceOutput, inputLength * sizeof(float));
cudaMalloc((void **) &deviceInput1, inputLength * sizeof(float));
cudaMalloc((void **) &deviceInput2, inputLength * sizeof(float));
wbTime_stop(GPU, "Allocating GPU memory.");
wbTime_start(GPU, "Copying input memory to the GPU.");
//@@ Copy memory to the GPU here
cudaMemcpy(deviceInput1, hostInput1, inputLength * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(deviceInput2, hostInput2, inputLength * sizeof(float), cudaMemcpyHostToDevice);
wbTime_stop(GPU, "Copying input memory to the GPU.");
//@@ Initialize the grid and block dimensions here
dim3 DimGrid(inputLength/256, 1, 1);
if(inputLength%256) DimGrid.x++;
dim3 DimBlock(256, 1, 1);
wbTime_start(Compute, "Performing CUDA computation");
//@@ Launch the GPU Kernel here
vecAdd<<<DimGrid, DimBlock>>>(deviceInput1, deviceInput2, deviceOutput, inputLength);
cudaDeviceSynchronize();
wbTime_stop(Compute, "Performing CUDA computation");
wbTime_start(Copy, "Copying output memory to the CPU");
//@@ Copy the GPU memory back to the CPU here
cudaMemcpy(hostOutput, deviceOutput, inputLength * sizeof(float), cudaMemcpyDeviceToHost);
wbTime_stop(Copy, "Copying output memory to the CPU");
wbTime_start(GPU, "Freeing GPU Memory");
//@@ Free the GPU memory here
cudaFree(deviceInput1);
cudaFree(deviceInput2);
cudaFree(deviceOutput);
wbTime_stop(GPU, "Freeing GPU Memory");
wbSolution(args, hostOutput, inputLength);
free(hostInput1);
free(hostInput2);
free(hostOutput);
return 0;
}