public static PerformanceResult RunConcurrentPerformanceTest(int numIterations, int degreeParallelism,
Action operation)
{
int i;
var taskList = new Task<PerformanceResult>[degreeParallelism];
long startTime = HiResTimer.Ticks;
int subIterations = numIterations/degreeParallelism;
for (i = 0; i < degreeParallelism; i++)
{
var t = new Task<PerformanceResult>(() => RunPerformanceTest(subIterations, operation, true));
taskList[i] = t;
}
for (i = 0; i < degreeParallelism; i++) taskList[i].Start();
Task.WaitAll(taskList);
long stopTime = HiResTimer.Ticks;
var rawData = new List<double>();
for (i = 0; i < degreeParallelism; i++)
{
rawData.AddRange(taskList[i].Result.DescriptiveResult.RawData);
}
var desc = new DescriptiveAnalysis(rawData);
desc.Analyze(false);
desc.AnalyzeHistogram(cHistogramBuckets);
var res = new PerformanceResult
{
IsValid = true,
Iterations = taskList.Sum(p => p.Result.Iterations),
DegreeOfParallelism = degreeParallelism,
TotalMilliseconds = ConvertToMs(startTime, stopTime),
TotalSeconds = ConvertToSeconds(startTime, stopTime),
TotalTicks = stopTime - startTime,
DescriptiveResult = desc.Result
};
for (i = 0; i < degreeParallelism; i++) taskList[i].Dispose();
return res;
}
public static PerformanceResult RunPerformanceTest(int numIterations, Func<bool> operation,
bool isParallel = false)
{
bool isResultValid = true;
var measures = new List<double>(numIterations);
// grab the start time
long startTime = HiResTimer.Ticks;
// Same operation as the functional test, we just
// do a lot of them.
for (int i = 0; ((i < numIterations) && (isResultValid)); i++)
{
long aStart = HiResTimer.Ticks;
isResultValid &= (operation());
long aStop = HiResTimer.Ticks;
if (isResultValid) measures.Add(ConvertToMs(aStart, aStop));
}
// grab the stop time
long stopTime = HiResTimer.Ticks;
var descriptive = new DescriptiveAnalysis(measures);
descriptive.Analyze(isParallel);
if (!isParallel) descriptive.AnalyzeHistogram(cHistogramBuckets);
// If they all worked, we can report a valid result.
// If they didn't then we call the perf test inconclusive.
return new PerformanceResult
{
IsValid = isResultValid,
TotalSeconds = ConvertToSeconds(startTime, stopTime),
TotalMilliseconds = ConvertToMs(startTime, stopTime),
TotalTicks = (stopTime - startTime),
DescriptiveResult = descriptive.Result
};
}
public static PerformanceResult RunConcurrentPerformanceTest(int numIterations, int degreeParallelism,
Func<bool> operation)
{
int i;
var taskList = new Task<PerformanceResult>[degreeParallelism];
int subIterations = numIterations/degreeParallelism;
for (i = 0; i < degreeParallelism; i++)
{
var t = new Task<PerformanceResult>(() => RunPerformanceTest(subIterations, operation, true));
taskList[i] = t;
}
for (i = 0; i < degreeParallelism; i++) taskList[i].Start();
Task.WaitAll(taskList);
var rawData = new List<double>();
bool valid = true;
for (i = 0; i < degreeParallelism; i++)
{
valid &= taskList[i].Result.IsValid;
rawData.AddRange(taskList[i].Result.DescriptiveResult.RawData);
}
var desc = new DescriptiveAnalysis(rawData);
desc.Analyze(false);
desc.AnalyzeHistogram(cHistogramBuckets);
var res = new PerformanceResult
{
IsValid = valid,
TotalMilliseconds = taskList.Max(p => p.Result.TotalMilliseconds),
TotalSeconds = taskList.Max(p => p.Result.TotalSeconds),
TotalTicks = taskList.Max(p => p.Result.TotalTicks),
DescriptiveResult = desc.Result
};
for (i = 0; i < degreeParallelism; i++) taskList[i].Dispose();
return res;
}