static void Main(string[] args)
{
// cmd line params variables
string dbConnStr = null;
int runID = 0;
int benchmarkMethodID = 0;
int n;
int maxN;
try
{
DateTime startTime = DateTime.Now;
//Console.WriteLine($"Args Count:" + args.Length.ToString());
//foreach (string s in args)
//{
// Console.WriteLine(s);
//}
//Console.ReadKey();
string errMsg = PerfUtil.GetCmdLineParams_DbNAndMaxN(args, out dbConnStr, out runID, out benchmarkMethodID, out n, out maxN);
//if (errMsg != null)
//{
// Console.WriteLine(errMsg);
//}
//Console.WriteLine($"Args: {dbConnStr}; {runID.ToString()}; {benchmarkMethodID.ToString()}; {n.ToString()}; {maxN.ToString()}");
//Console.ReadKey();
int[] a = new int[n];
int[] a2 = new int[n];
Random rand = new Random(89);
for (int i = 0; i < a.Length; i++)
{
a[i] = rand.Next();
a2[i] = rand.Next();
}
FastHashSet <SmallStruct> setWarmup = new FastHashSet <SmallStruct>();
setWarmup.Add(new SmallStruct(1, 2));
FastHashSet <SmallStruct> set = new FastHashSet <SmallStruct>();
double overheadNanoSecs = PerfUtil.GetTimestampOverheadInNanoSeconds();
PerfUtil.DoGCCollect();
int iterations = 1;
long startTicks;
long endTicks;
double ticks;
// this is enough to jit things and not put everything in the cache
//bool isContained = set.Contains(0);
iterations = 1;
startTicks = Stopwatch.GetTimestamp();
for (int i = 0; i < a.Length; i++)
{
set.Add(new SmallStruct(a[i], a2[i]));
}
endTicks = Stopwatch.GetTimestamp();
ticks = (double)(endTicks - startTicks);
double nanoSecs = PerfUtil.GetNanoSecondsFromTicks(ticks, Stopwatch.Frequency) - overheadNanoSecs;
PerfDb.InsertMeasurement(dbConnStr, runID, benchmarkMethodID, n, iterations, nanoSecs, startTime, DateTime.Now);
}
catch (Exception ex)
{
Console.Write(ex.ToString());
if (!string.IsNullOrEmpty(dbConnStr))
{
// write error to db
PerfDb.InsertRunError(dbConnStr, runID, benchmarkMethodID, ex);
}
else
{
// log error to file
}
}
}
static void Main(string[] args)
{
try
{
DateTime startTime = DateTime.Now;
// first arg is job name, 2nd is params
string jobName = "";
string paramsStr = "";
if (args.Length > 0)
{
jobName = args[0].Trim();
paramsStr = args[1].Trim();
}
else
{
//??? output error and exit
}
// 3rd arg is connection string override
string dbConnStr;
if (args.Length > 2)
{
dbConnStr = args[2].Trim();
}
else
{
dbConnStr = PerfRunner.Properties.Settings.Default.ConnStr.Trim();
}
JobWithBenchmarks j = PerfDb.ReadJobBenchmarkFromDb(dbConnStr, jobName, paramsStr);
if (j.BenchmarkList != null && j.BenchmarkList.Count > 0)
{
int totalRunCount = 0;
for (int i = 0; i < j.BenchmarkList.Count; i++)
{
int cnt = j.RunCount * j.BenchmarkList[i].CountN;
totalRunCount += cnt;
}
OrderAndIndex[] runOrderArray = new OrderAndIndex[totalRunCount];
Random rand = new Random(89);
int n = 0;
for (int i = 0; i < j.BenchmarkList.Count; i++)
{
int cnt = j.RunCount;
int minN = j.BenchmarkList[i].MinN;
int maxN = j.BenchmarkList[i].MaxN;
int byN = j.BenchmarkList[i].ByN;
for (int k = 0; k < cnt; k++)
{
for (int N = minN; N <= maxN; N += byN)
{
runOrderArray[n++] = new OrderAndIndex(rand.Next(int.MinValue, int.MaxValue), i, N);
}
}
}
Array.Sort(runOrderArray, new CompareOrderAndIndex());
EnvironmentInfo environInfo = PerfUtil.GetEnvironmentInfo();
int runID = PerfDb.InsertRun(dbConnStr, j.JobID, j.Params, j.JobName, j.JobDescription, "", environInfo);
int everyTenth = runOrderArray.Length / 10;
int nextTenth = everyTenth;
int nextPct = 10;
DateTime runStartTime = DateTime.Now;
Console.WriteLine("Starting Job: " + jobName + ", with Params: " + paramsStr + ", at: " + runStartTime.ToString("h:mm.s tt"));
for (int i = 0; i < runOrderArray.Length; i++)
{
BenchmarkMethod b = j.BenchmarkList[runOrderArray[i].index];
PerfUtil.StartProgramWithArguments_DbNAndMaxN(b.ExecutableFileName, dbConnStr, runID, b.BenchmarkMethodID, runOrderArray[i].n, b.MaxN);
if (i == nextTenth)
{
DateTime timeNow = DateTime.Now;
TimeSpan ts = timeNow - runStartTime;
Console.WriteLine("Percent Done: " + nextPct.ToString("N0") + "%, Total Minutes So Far = " + ts.TotalMinutes.ToString("N2"));
nextTenth += everyTenth;
nextPct += 10;
}
}
DateTime timeNowDone = DateTime.Now;
TimeSpan tsDone = timeNowDone - runStartTime;
Console.WriteLine("Finished: Total Minutes = " + tsDone.TotalMinutes.ToString("N2"));
}
}
catch (Exception ex)
{
PerfUtil.OutputError(ex);
Console.ReadKey();
}
}
static void Main(string[] args)
{
// cmd line params variables
string dbConnStr = null;
int runID = 0;
int benchmarkMethodID = 0;
int n;
int maxN;
try
{
DateTime startTime = DateTime.Now;
//Console.WriteLine($"Args Count:" + args.Length.ToString());
//foreach (string s in args)
//{
// Console.WriteLine(s);
//}
//Console.ReadKey();
string errMsg = PerfUtil.GetCmdLineParams_DbNAndMaxN(args, out dbConnStr, out runID, out benchmarkMethodID, out n, out maxN);
//if (errMsg != null)
//{
// Console.WriteLine(errMsg);
//}
//Console.WriteLine($"Args: {dbConnStr}; {runID.ToString()}; {benchmarkMethodID.ToString()}; {n.ToString()}; {maxN.ToString()}");
//Console.ReadKey();
int[] a;
int[] c;
HashSet <int> set = new HashSet <int>();
BenchUtil.PopulateArrays25_25_50PctUnique(maxN, out a, out c);
// in a real world scenario, we will have probably have recently added the items into the set, so no need to try to clear the cache or anything
for (int i = 0; i < maxN; i++)
{
set.Add(a[i]);
}
double overheadNanoSecs = PerfUtil.GetTimestampOverheadInNanoSeconds();
PerfUtil.DoGCCollect();
int iterations = 1;
long startTicks;
long endTicks;
double ticks;
// this is enough to jit things and not put everything in the cache
bool isContained = set.Contains(0);
if (maxN <= 1000)
{
iterations = 1;
// there amount of time taken for these is too small to measure just one iteration - so we measure multiple iterations in a loop and get the time for these
// the mean time is this total time / iterations
// for really small operations, like a single contains on a hashet that has 8 items you would probably want to call at least a feww hundred Contains
// and then average that - the maxN wouldn't work too well if that was just 8
startTicks = Stopwatch.GetTimestamp();
for (int i = 0; i < maxN; i++)
{
set.Contains(c[i]);
}
endTicks = Stopwatch.GetTimestamp();
ticks = ((endTicks - startTicks) * n) / (double)maxN;
}
else
{
iterations = 1;
startTicks = Stopwatch.GetTimestamp();
for (int i = 0; i < n; i++) // loop overhead is ok because we assume there will be some loop in real-world scenario
{
set.Contains(c[i]);
}
endTicks = Stopwatch.GetTimestamp();
ticks = (double)(endTicks - startTicks);
}
double nanoSecs = PerfUtil.GetNanoSecondsFromTicks(ticks, Stopwatch.Frequency) - overheadNanoSecs;
PerfDb.InsertMeasurement(dbConnStr, runID, benchmarkMethodID, n, iterations, nanoSecs, startTime, DateTime.Now);
}
catch (Exception ex)
{
Console.Write(ex.ToString());
if (!string.IsNullOrEmpty(dbConnStr))
{
// write error to db
PerfDb.InsertRunError(dbConnStr, runID, benchmarkMethodID, ex);
}
else
{
// log error to file
}
}
}
static void Main(string[] args)
{
//string outputFileName = @"e:\\proj\\summary.tsv";
//int minN = 100_000;
//int maxN = 1_000_000;
//int incrementNBy = 10_000;
string errMsg = PerfUtil.GetCmdLineParams_OutputFileAndMinMaxIncN(args, out int minN, out int maxN, out int incrementNBy, out string outputFileName);
int nCount = ((maxN - minN) / incrementNBy) + 1;
int[] nArray = new int[nCount];
int idx = 0;
for (int n = minN; n <= maxN; n += incrementNBy, idx++)
{
nArray[idx] = n;
}
const int LoopUnrollCount = 1;
const int IterartionCount = 512;
const int IterartionWarmupCount = 16;
long[] ticksH = new long[nArray.Length * IterartionCount * LoopUnrollCount];
int ticksIdxForH = 0;
long[] ticksF = new long[nArray.Length * IterartionCount * LoopUnrollCount];
int ticksIdxForF = 0;
long[] ticksC = new long[nArray.Length * IterartionCount * LoopUnrollCount];
int ticksIdxForC = 0;
long startTicks;
double overheadTicks = PerfUtil.GetTimestampOverheadInNanoSeconds();
int[] a;
int[] c;
SCG.HashSet <int> h = new HashSet <int>();
FastHashSet <int> f = new FastHashSet <int>();
C5.HashSet <int> c5 = new C5.HashSet <int>();
HashSetBench.BenchUtil.PopulateCollections25_25_50PctUnique(maxN, out a, out c, h, f, c5);
// not sure if we should run bechmark 1 and then benchmark 2 separately so that the presence of the one doesn't effect the other???
// in practice they will probably not be run together one after the other
PerfUtil.DoGCCollect();
int N;
for (int j = 0; j < nArray.Length; j++)
{
N = nArray[j];
// not really sure what running the warmup really does - it can put things in the cache that maybe shouldn't be there because they won't be in a real application???
// still, if we execute the same code with the same data in a loop alot of times, this will populate the cache unrealistically
// also if we do a warmup, the jit times will be removed, but does this represent reality - jit times do happen in real running code???
for (int iterationIdx = 0; iterationIdx < IterartionWarmupCount; iterationIdx++)
{
// SCG_Contains
for (int i = 0; i < N; i++)
{
h.Contains(c[i]);
}
// Fast_Contains
for (int i = 0; i < N; i++)
{
f.Contains(c[i]);
}
for (int i = 0; i < N; i++)
{
c5.Contains(c[i]);
}
}
for (int iterationIdx = 0; iterationIdx < IterartionCount; iterationIdx++)
{
// to minimize the effects of the loop code on the count, unroll each bechmark 2 times
// also alternate randomly between the order of these to minimize any effects of order
// not sure what effects loop unrolling has since that part isn't contained in the stopwatch time
// still there might be some residual effects on CPU registers? - not really sure
// 1
// there is some overhead that should be removed - it is returning from GetTimestamp and setting startTicks and afterwards calling GetTimestamp until the point where the return value is obtained
// we should determine this overhead by calling
startTicks = Stopwatch.GetTimestamp();
for (int i = 0; i < N; i++)
{
h.Contains(c[i]);
}
ticksH[ticksIdxForH++] = Stopwatch.GetTimestamp() - startTicks;
startTicks = Stopwatch.GetTimestamp();
for (int i = 0; i < N; i++)
{
f.Contains(c[i]);
}
ticksF[ticksIdxForF++] = Stopwatch.GetTimestamp() - startTicks;
startTicks = Stopwatch.GetTimestamp();
for (int i = 0; i < N; i++)
{
c5.Contains(c[i]);
}
ticksC[ticksIdxForC++] = Stopwatch.GetTimestamp() - startTicks;
}
}
// summarize and output the data
BenchmarkSummaries summaries = new BenchmarkSummaries();
summaries.AddNSummaryList(NSummary.CreateNSummaryListForBenchmark(overheadTicks, nArray, IterartionCount * LoopUnrollCount, ticksH), "SCG_Contains");
summaries.AddNSummaryList(NSummary.CreateNSummaryListForBenchmark(overheadTicks, nArray, IterartionCount * LoopUnrollCount, ticksF), "Fast_Contains");
summaries.AddNSummaryList(NSummary.CreateNSummaryListForBenchmark(overheadTicks, nArray, IterartionCount * LoopUnrollCount, ticksC), "C5_Contains");
summaries.OutputSummariesToFile(outputFileName, "SCG_Contains");
}
