#include #include #include #include using namespace std::chrono; using namespace std; void randomVector(int vector[], int size) { for (int i = 0; i < size; i++) { //ToDo: Add Comment vector[i] = rand() % 100; } } int main(){ unsigned long size = 100000000; srand(time(0)); int *v1, *v2, *v3; //ToDo: Add Comment auto start = high_resolution_clock::now(); //ToDo: Add Comment v1 = (int *) malloc(size * sizeof(int *)); v2 = (int *) malloc(size * sizeof(int *)); v3 = (int *) malloc(size * sizeof(int *)); randomVector(v1, size); randomVector(v2, size); //ToDo: Add Comment for (int i = 0; i < size; i++) { v3[i] = v1[i] + v2[i]; } auto stop = high_resolution_clock::now(); //ToDo: Add Comment auto duration = duration_cast(stop - start); cout << "Time taken by function: " << duration.count() << " microseconds" << endl; return 0; } 1. Modify the sequential program to use OpenMP to achieve parallelism using omp parallel and omp for directives. 2. Evaluate the performance of the OpenMP implementation vs pthread implementation vs the sequential program. Discuss your findings.

#include <iostream>
#include <cstdlib>
#include <time.h>
#include <chrono>

using namespace std::chrono;
using namespace std;

void randomVector(int vector[], int size)
{
for (int i = 0; i < size; i++)
{
//ToDo: Add Comment
vector[i] = rand() % 100;
}
}

int main(){

unsigned long size = 100000000;

srand(time(0));

int *v1, *v2, *v3;

//ToDo: Add Comment
auto start = high_resolution_clock::now();

//ToDo: Add Comment
v1 = (int *) malloc(size * sizeof(int *));
v2 = (int *) malloc(size * sizeof(int *));
v3 = (int *) malloc(size * sizeof(int *));

randomVector(v1, size);

randomVector(v2, size);

//ToDo: Add Comment
for (int i = 0; i < size; i++)
{
v3[i] = v1[i] + v2[i];
}

auto stop = high_resolution_clock::now();

//ToDo: Add Comment
auto duration = duration_cast<microseconds>(stop - start);

cout << "Time taken by function: "
<< duration.count() << " microseconds" << endl;

return 0;
}

1. Modify the sequential program to use OpenMP to achieve parallelism using omp parallel and omp
for directives.
2. Evaluate the performance of the OpenMP implementation vs pthread implementation vs the sequential
program. Discuss your findings.