public static double measureMonteCarlo(double min_time, Random R)
{
Stopwatch stopwatch = new Stopwatch();
int Num_samples = 40000000;
stopwatch.start();
MonteCarlo.integrate(Num_samples);
stopwatch.stop();
return(MonteCarlo.num_flops(Num_samples) / stopwatch.read() * 1E-06);
}
public static void benchMonteCarlo()
{
SciMark2.Random R = new SciMark2.Random(Constants.RANDOM_SEED);
int Iterations = 40000000;
foreach (var iteration in Benchmark.Iterations)
{
using (iteration.StartMeasurement())
{
MonteCarlo.integrate(Iterations);
}
}
}
public static double measureMonteCarlo(double min_time, Random R)
{
Stopwatch clock = new Stopwatch();
int cycles = 1;
while (true)
{
clock.Start();
MonteCarlo.integrate(cycles);
clock.Stop();
if (clock.Elapsed.TotalSeconds >= min_time)
{
break;
}
cycles *= 2;
}
// approx Mflops
return(MonteCarlo.num_flops(cycles) / clock.Elapsed.TotalMilliseconds * 1.0e-3);
}
public static double measureMonteCarlo(double min_time, Random R)
{
Stopwatch Q = new Stopwatch();
int cycles = 1;
while (true)
{
Q.start();
MonteCarlo.integrate(cycles);
Q.stop();
if (Q.read() >= min_time)
{
break;
}
cycles *= 2;
}
// approx Mflops
return(MonteCarlo.num_flops(cycles) / Q.read() * 1.0e-6);
}
public void benchMonteCarlo()
{
int Iterations = 40000000;
MonteCarlo.integrate(Iterations);
}