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loop_vectorization.cpp
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#include <iostream>
#include <vector>
#include <omp.h>
#include <random>
#include <ctime>
void matrix_multiply_with_vecotorized_loop(std::vector<int> &A, std::vector<int> &B, std::vector<int> &C, int N)
{
#pragma omp parallel for collapse(2)
for (int i = 0; i < N; ++i)
{
for (int j = 0; j < N; ++j)
{
int sum = 0;
#pragma omp simd reduction(+ : sum)
for (int k = 0; k < N; ++k)
{
sum += A[i * N + k] * B[k * N + j];
}
C[i * N + j] = sum;
}
}
}
void matrix_multiply(std::vector<int> &A, std::vector<int> &B, std::vector<int> &C, int N)
{
for (int i = 0; i < N; ++i)
{
for (int j = 0; j < N; ++j)
{
int sum = 0;
for (int k = 0; k < N; ++k)
{
sum += A[i * N + k] * B[k * N + j];
}
C[i * N + j] = sum;
}
}
}
int fillMatrix(std::vector<int> &matrix, int N)
{
for (int i = 0; i < N * N; i++)
{
matrix[i] = rand() % 100; // Fill with random numbers between 0 and 99
}
return 0;
}
int main()
{
const int N = 1024; // Size of matrices
// Initialize matrices
std::vector<int> A(N * N);
std::vector<int> B(N * N);
fillMatrix(A, N);
fillMatrix(B, N);
std::vector<int> C(N * N, 0);
clock_t start, end;
double cpu_time_used;
start = clock();
// Perform matrix multiplication
matrix_multiply_with_vecotorized_loop(A, B, C, N);
end = clock();
cpu_time_used = ((double)(end - start)) / CLOCKS_PER_SEC * 1000;
std::cout << "Time taken for matrix multiplication with vectorization: " << cpu_time_used << " ms" << std::endl;
fillMatrix(A, N);
fillMatrix(B, N);
start = clock();
// Perform matrix multiplication
matrix_multiply(A, B, C, N);
end = clock();
cpu_time_used = ((double)(end - start)) / CLOCKS_PER_SEC * 1000;
std::cout << "Time taken for matrix multiplication without vectorization: " << cpu_time_used << " ms" << std::endl;
return 0;
}