private static void ComputationLoopForMain(object curObj)
{
ParametersForFirst param = (ParametersForFirst)curObj;
int startI = param.startI,
endI = param.endI,
m2 = param.m2,
m1 = param.m1;
Matrix res = param.res,
matr1 = param.matr1,
matr2 = param.matr2;
int[] mulH = param.mulH,
mulV = param.mulV;
for (int i = startI; i < endI; i++)
{
for (int j = 0; j < m2; j++)
{
res[i, j] = -mulH[i] - mulV[j];
for (int k = 0; k < m1 / 2; k++)
{
res[i, j] += (matr1[i, 2 * k + 1] + matr2[2 * k, j]) * (matr1[i, 2 * k] + matr2[2 * k + 1, j]);
}
}
}
}
public static Matrix ParallelVinogradMult1(Matrix matr1, Matrix matr2, int countOfThreads)
{
int n1 = matr1.N;
int n2 = matr2.N;
int m1 = matr1.M;
int m2 = matr2.M;
if ((m1 != n2) || n1 == 0 || n2 == 0)
{
return(null);
}
Matrix result = new Matrix(n1, m2);
int[] mulH = new int[n1];
int[] mulV = new int[m2];
for (int i = 0; i < n1; i++)
{
for (int j = 0; j < m1 / 2; j++)
{
mulH[i] += matr1[i, j * 2] * matr1[i, j * 2 + 1];
}
}
for (int i = 0; i < m2; i++)
{
for (int j = 0; j < n2 / 2; j++)
{
mulV[i] += matr2[j * 2, i] * matr2[j * 2 + 1, i];
}
}
Thread[] threads = new Thread[countOfThreads];
int distribution = n1 / countOfThreads;
int startI = 0;
for (int i = 0; i < countOfThreads; i++)
{
int endI = startI + distribution;
if (i == countOfThreads - 1)
{
endI = n1;
}
ParametersForFirst param = new ParametersForFirst(result, matr1, matr2, mulV, mulH, startI, endI, m2, m1);
threads[i] = new Thread(ComputationLoopForMain);
threads[i].Start(param);
startI = endI;
}
foreach (Thread curThread in threads)
{
curThread.Join();
}
if (m1 % 2 == 1)
{
for (int i = 0; i < n1; i++)
{
for (int j = 0; j < m2; j++)
{
result[i, j] += matr1[i, m1 - 1] * matr2[m1 - 1, j];
}
}
}
return(result);
}
