I am making some benchmarks with CUDA, C++, C#, Java, and using MATLAB for verification and matrix generation. When I perform matrix multiplication with MATLAB, 2048x2048 and even bigger matrices are almost instantly multiplied.

             1024x1024   2048x2048   4096x4096
             ---------   ---------   ---------
CUDA C (ms)      43.11      391.05     3407.99
C++ (ms)       6137.10    64369.29   551390.93
C# (ms)       10509.00   300684.00  2527250.00
Java (ms)      9149.90    92562.28   838357.94
MATLAB (ms)      75.01      423.10     3133.90

Only CUDA is competitive, but I thought that at least C++ will be somewhat close and not 60 times slower. I also don't know what to think about the C# results. The algorithm is just the same as C++ and Java, but there's a giant jump 2048 from 1024.

How is MATLAB performing matrix multiplication so fast?

C++ Code:

float temp = 0;
timer.start();
for(int j = 0; j < rozmer; j++)
{
    for (int k = 0; k < rozmer; k++)
    {
        temp = 0;
        for (int m = 0; m < rozmer; m++)
        {
            temp = temp + matice1[j][m] * matice2[m][k];
        }
        matice3[j][k] = temp;
    }
}
timer.stop();