Use OpenACC to parallelize your matrix multiplication C code to run on a GPU

[sRachele11796]

I have to modify the code on https://www.programiz.com/cpp-programming/examples/matrix-multiplication for matrix multiplication. From there I must modify the code to Use OpenACC to parallelize your matrix multiplication C code to run on a GPU. Here is the code below:

#include <iostream>
using namespace std;

int main()
{
int a[10][10], b[10][10], mult[10][10], r1, c1, r2, c2, i, j, k;

cout << "Enter rows and columns for first matrix: ";
cin >> r1 >> c1;
cout << "Enter rows and columns for second matrix: ";
cin >> r2 >> c2;

// If column of first matrix in not equal to row of second matrix,
// ask the user to enter the size of matrix again.
while (c1!=r2)
{
cout << "Error! column of first matrix not equal to row of second.";

cout << "Enter rows and columns for first matrix: ";
cin >> r1 >> c1;

cout << "Enter rows and columns for second matrix: ";
cin >> r2 >> c2;
}

// Storing elements of first matrix.
cout << endl << "Enter elements of matrix 1:" << endl;
for(i = 0; i < r1; ++i)
for(j = 0; j < c1; ++j)
{
cout << "Enter element a" << i + 1 << j + 1 << " : ";
cin >> a[i][j];
}

// Storing elements of second matrix.
cout << endl << "Enter elements of matrix 2:" << endl;
for(i = 0; i < r2; ++i)
for(j = 0; j < c2; ++j)
{
cout << "Enter element b" << i + 1 << j + 1 << " : ";
cin >> b[i][j];
}

// Initializing elements of matrix mult to 0.
for(i = 0; i < r1; ++i)
for(j = 0; j < c2; ++j)
{
mult[i][j]=0;
}

// Multiplying matrix a and b and storing in array mult.
for(i = 0; i < r1; ++i)
for(j = 0; j < c2; ++j)
for(k = 0; k < c1; ++k)
{
mult[i][j] += a[i][k] * b[k][j];
}

// Displaying the multiplication of two matrix.
cout << endl << "Output Matrix: " << endl;
for(i = 0; i < r1; ++i)
for(j = 0; j < c2; ++j)
{
cout << " " << mult[i][j];
if(j == c2-1)
cout << endl;
}

return 0;
}

[salem c]

http://lmgtfy.com/?q=openacc+matrix+multiplication