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13 years ago
#include <iostream> // cout
#include <vector>
#include <cstdlib> // srand, rand, atoi
#include <ctime> // timespec, clock_gettime
const int RANDOM_MAX = 1000;
const int RANDOM_MIN = 1;
timespec diff(timespec start, timespec end)
{
timespec temp;
if ((end.tv_nsec-start.tv_nsec)<0) {
temp.tv_sec = end.tv_sec-start.tv_sec-1;
temp.tv_nsec = 1000000000+end.tv_nsec-start.tv_nsec;
} else {
temp.tv_sec = end.tv_sec-start.tv_sec;
temp.tv_nsec = end.tv_nsec-start.tv_nsec;
}
return temp;
}
void serialConvolution(std::vector<float>& output,
const std::vector<float>& input,
const std::vector<float>& kernel)
{
float sum;
int middle = kernel.size() / 2;
for (size_t i = 0; i < input.size(); i++) {
sum = 0;
for (int j = -middle; j <= middle; j++)
if ( (int)i+j < 0 ) {
sum += input[0] * kernel[j+middle];
} else if ( i+j > input.size()-1 ) {
sum += input[input.size()-1] * kernel[j+middle];
} else {
sum += input[i+j] * kernel[j+middle];
}
output[i] = sum;
}
}
int main(int argc, char* argv[])
{
if (argc != 3) {
std::cout << "Usage: " << argv[0] << " <NUMBER_OF_THREADS> <DATA_SIZE>" << std::endl;
exit(1);
}
const int NUMBER_OF_THREADS = atoi(argv[1]);
const int DATA_SIZE = atoi(argv[2]);
const int CHUNK_SIZE = DATA_SIZE / NUMBER_OF_THREADS;
srand(time(NULL));
std::vector<float> data(DATA_SIZE);
for (int i = 0; i < DATA_SIZE; i++)
data[i] = rand() % RANDOM_MAX + RANDOM_MIN;
// the kernel for the gaussian smooth
float kernelArray[7] = { 0.06, 0.061, 0.242, 0.383, 0.242, 0.061, 0.06 };
std::vector<float> kernel (kernelArray, kernelArray + sizeof(kernelArray) / sizeof(float) );
// the convolution is not in-place, the result is stored in output
std::vector<float> output(DATA_SIZE);
timespec startTime;
clock_gettime(CLOCK_MONOTONIC, &startTime);
serialConvolution(output, data, kernel);
timespec endTime;
clock_gettime(CLOCK_MONOTONIC, &endTime);
timespec timeDiff = diff(startTime, endTime);
std::cout << timeDiff.tv_sec << "." << timeDiff.tv_nsec << std::endl;
return 0;
}