Created
June 14, 2013 04:09
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Cubing Numbers Using CUDA
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#include <stdio.h> | |
__global__ void cube(float * d_out, float * d_in){ | |
int idx = threadIdx.x; | |
float f = d_in[idx]; | |
d_out[idx] = f * f * f; | |
} | |
int main(int argc, char ** argv) { | |
const int ARRAY_SIZE = 64; | |
const int ARRAY_BYTES = ARRAY_SIZE * sizeof(float); | |
// generate the input array on the host | |
float h_in[ARRAY_SIZE]; | |
for (int i = 0; i < ARRAY_SIZE; i++) { | |
h_in[i] = float(i); | |
} | |
float h_out[ARRAY_SIZE]; | |
// declare GPU memory pointers | |
float * d_in; | |
float * d_out; | |
// allocate GPU memory | |
cudaMalloc((void**) &d_in, ARRAY_BYTES); | |
cudaMalloc((void**) &d_out, ARRAY_BYTES); | |
// transfer the array to the GPU | |
cudaMemcpy(d_in, h_in, ARRAY_BYTES, cudaMemcpyHostToDevice); | |
// launch the kernel | |
cube<<<1, ARRAY_SIZE>>>(d_out, d_in); | |
// copy back the result array to the CPU | |
cudaMemcpy(h_out, d_out, ARRAY_BYTES, cudaMemcpyDeviceToHost); | |
// print out the resulting array | |
for (int i =0; i < ARRAY_SIZE; i++) { | |
printf("%f", h_out[i]); | |
printf(((i % 4) != 3) ? "\t" : "\n"); | |
} | |
cudaFree(d_in); | |
cudaFree(d_out); | |
return 0; | |
} |
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