private List <Measurement> RunAuto(long invokeCount, IterationMode iterationMode, int unrollFactor)
{
int iterationCounter = 0;
bool isIdle = iterationMode.IsIdle();
double maxErrorRelative = isIdle ? MaxIdleStdErrRelative : maxStdErrRelative;
while (true)
{
iterationCounter++;
var measurement = RunIteration(iterationMode, iterationCounter, invokeCount, unrollFactor);
measurements.Add(measurement);
var statistics = MeasurementsStatistics.Calculate(measurements, removeOutliers);
double actualError = statistics.StandardError;
double maxError = maxErrorRelative * statistics.Mean;
if (iterationCounter >= MinIterationCount && actualError < maxError)
{
break;
}
if (iterationCounter >= MaxIterationCount || (isIdle && iterationCounter >= MaxIdleIterationCount))
{
break;
}
}
if (!IsDiagnoserAttached)
{
WriteLine();
}
return(measurements);
}
private List <Measurement> RunAuto(long invokeCount, IterationMode iterationMode, int unrollFactor)
{
var measurements = measurementsPool.Next();
var measurementsForStatistics = measurementsPool.Next();
int iterationCounter = 0;
bool isIdle = iterationMode.IsIdle();
double effectiveMaxRelativeError = isIdle ? MaxIdleRelativeError : maxRelativeError;
while (true)
{
iterationCounter++;
var measurement = RunIteration(iterationMode, iterationCounter, invokeCount, unrollFactor);
measurements.Add(measurement);
measurementsForStatistics.Add(measurement);
var statistics = MeasurementsStatistics.Calculate(measurementsForStatistics, removeOutliers);
double actualError = statistics.ConfidenceInterval.Margin;
double maxError1 = effectiveMaxRelativeError * statistics.Mean;
double maxError2 = maxAbsoluteError?.Nanoseconds ?? double.MaxValue;
double maxError = Math.Min(maxError1, maxError2);
if (iterationCounter >= MinIterationCount && actualError < maxError)
{
break;
}
if (iterationCounter >= MaxIterationCount || (isIdle && iterationCounter >= MaxIdleIterationCount))
{
break;
}
}
if (!IsDiagnoserAttached)
{
WriteLine();
}
return(measurements);
}
private List <Measurement> RunAuto(long invokeCount, IterationMode iterationMode, int unrollFactor)
{
var measurements = new List <Measurement>(maxIterationCount);
var measurementsForStatistics = new List <Measurement>(maxIterationCount);
int iterationCounter = 0;
bool isOverhead = iterationMode == IterationMode.Overhead;
double effectiveMaxRelativeError = isOverhead ? MaxOverheadRelativeError : maxRelativeError;
while (true)
{
iterationCounter++;
var measurement = RunIteration(iterationMode, IterationStage.Actual, iterationCounter, invokeCount, unrollFactor);
measurements.Add(measurement);
measurementsForStatistics.Add(measurement);
var statistics = MeasurementsStatistics.Calculate(measurementsForStatistics, outlierMode);
double actualError = statistics.ConfidenceInterval.Margin;
double maxError1 = effectiveMaxRelativeError * statistics.Mean;
double maxError2 = maxAbsoluteError?.Nanoseconds ?? double.MaxValue;
double maxError = Math.Min(maxError1, maxError2);
if (iterationCounter >= minIterationCount && actualError < maxError)
{
break;
}
if (iterationCounter >= maxIterationCount || (isOverhead && iterationCounter >= MaxOverheadIterationCount))
{
break;
}
}
WriteLine();
return(measurements);
}
