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Use OpenMP to parallel the two questions, in C programming. Attached is ex5.2_omp_trap1_crit as an e

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Use OpenMP to parallel the two questions, in C programming.

Attached is ex5.2_omp_trap1_crit as an example.

1. Use OpenMP to implement the parallel histogram program. Attached is ser_hist for the program to use.

2. see attachment:

Question2. Attached is monte_carlo for the program to use.

 

/* C program for estimation of Pi using Monte

Carlo Simulation */

#include <stdio.h>

#include <stdlib.h>

 

 

void get_input(long long int* number_of_tosses);

long long int monte_carlo(long long number_of_tosses);

 

int main()

{

    long long int number_of_tosses;

    long long int number_in_circle;

    double pi_estimate;

 

    srand(time(NULL)); //seed the random number generator

 

 

    get_input( &number_of_tosses );

// Initializing rand() with current time

 

number_in_circle = monte_carlo( number_of_tosses );

 

    pi_estimate = 4*number_in_circle/((double)number_of_tosses);

    printf("pi estimate = %f\n", pi_estimate);

 

return 0;

}

 

void get_input( long long int* number_of_tosses  /* out */) {

 

      printf("Enter the total number of tosses\n");

      scanf("%lld", number_of_tosses);

 

}  /* Get_input */

 

 

/*-------------------------------------------------------------------*/

long long int monte_carlo(long long number_of_tosses) {

   long long int i;

   double x,y;

   double distance_squared;

   long long int number_in_circle = 0;

 

 

   for ( i=0; i< number_of_tosses ; i++) {

      x = (double)rand()/RAND_MAX*2.0-1.0;

      y = (double)rand()/RAND_MAX*2.0-1.0;

 

      distance_squared = x*x + y*y;

 

      if (distance_squared <= 1) {

         number_in_circle++;

      }

   }

 

   return number_in_circle;

}  /* Monte_carlo */

 

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