static void SizeAnalyzePerformance(int testScale = 30000, int testRound = 10)
{
int[] _empData = new int[testScale];
SerialQuicksort sqs = new SerialQuicksort(_empData);
SerialMergesort sms = new SerialMergesort(_empData);
ParallelQuicksort pqs = new ParallelQuicksort(_empData);
ParallelMergesort pms = new ParallelMergesort(_empData);
LibrarySort ls = new LibrarySort(_empData);
pqs.SizePerformanceAnalyzer(testScale, testRound);
pms.SizePerformanceAnalyzer(testScale, testRound);
sqs.SizePerformanceAnalyzer(testScale, testRound);
sms.SizePerformanceAnalyzer(testScale, testRound);
ls.SizePerformanceAnalyzer(testScale, testRound);
}
static void WriteData()
{
GetData();
SerialEnumerationSort ses = new SerialEnumerationSort(data);
SerialMergesort sms = new SerialMergesort(data);
SerialQuicksort nsq = new SerialQuicksort(data);
ParallelQuicksort pqs = new ParallelQuicksort(data);
ParallelMergesort pms = new ParallelMergesort(data);
ParallelEnumerationSort pes = new ParallelEnumerationSort(data);
ses.EnumerationSort(true);
pqs.Quicksort(true);
pms.ParallelMergeSort(true);
sms.MergeSort(true);
nsq.QuickSort(false, true);
pes.EnumerationSort(true);
}
static void AnalyzePerformance()
{
GetData();
ParallelQuicksort pqs = new ParallelQuicksort(data);
SerialQuicksort rsqi = new SerialQuicksort(data);
ParallelMergesort pms = new ParallelMergesort(data);
SerialMergesort sms = new SerialMergesort(data);
ParallelEnumerationSort pes = new ParallelEnumerationSort(data);
SerialEnumerationSort ses = new SerialEnumerationSort(data);
LibrarySort ls = new LibrarySort(data);
rsqi.PerformanceAnalyzer(SerialQuicksort.SortMethod.randomizedImprovedQuicksort, 10);
pqs.PerformanceAnalyzer(10);
pms.PerformanceAnalyzer(10); // show the performance on given data
ls.PerformanceAnalyzer(10);
sms.PerformanceAnalyzer(10);
ses.PerformanceAnalyzer(10);
pes.PerformanceAnalyzer(10);
}