Help needed on parallel processing using fork() in C

Hello,

i need to use fork() for the below problem

Problem statement is program would accept various 2d arrays as inputs as long as the user wishes to enter.. Every individual sum of the array is calculated and sum of each array becomes the element of a resultant array and then the output would be the sum total of resultant array.My aim is to find and compare the computation speed by implementing the problem in two ways one is the normal program in C which would take care of the above and the other using fork() (I have implemented using the normal method whose code is pasted after the example. I need to know hw it can be implemented using fork() and how parallel processing of this problem can be done). Plz help!!!

Example :

number of matrices to be entered = 2

dimension of 1st matrix = 2x2

1st matrix : 1 2

3 4

dimension of 2nd matrix = 2x3

2nd matrix 2 1 3

1 3 5

Resultant matrix : 10 (sum of elements of 1st matrix)

15(sum of elements of 2nd matrix

sum of resultant : 25

Code :

#include<stdio.h>

#include<conio.h>

#include<stdlib.h>

#include<malloc.h>

#include<alloc.h>

#include <time.h>

int main()

{

int num,p,q,i,j,k,result=0,array_result = 0;

int arr[10];

int **a;

clrscr();

printf("Enter the number of matrices : ");

scanf("%d",&num);

for(k=0;k<num;k++)

{

printf("Enter the dimension of %d matrix : ",k+1);

scanf("%d%d : \n",&p,&q);

a=(int **)malloc(p*sizeof(int *));

for(i=0;i<p;i++)

{

a[i] = (int *)malloc(q*sizeof(int));}

for(i=0;i<p;i++)

{

for(j=0;j<q;j++)

{

scanf("%d",&a[i][j]);

}

result = sum(a,p,q);

system("PAUSE");

arr[k] = result;

}

{

array_result = array_result + arr[k];

}

} printf("Resultant Array : Sum total of each input array \n");

for(k=0;k<num;k++)

printf(" %d\n",arr[k]);

printf("Sum Total of Resultant Result : %d\n", array_result);

printf("Elapsed time: %u secs.\n", clock()/CLOCKS_PER_SEC);

return 0;

}

int sum(int **arr,int p,int q)

{

int res = 0,i=0,j=0;

for(i=0;i<p;i++)

for(j=0;j<q;j++)

{

res = res + arr[i][j];

}

return res;

}