C# 如何尽可能快地处理Parallel.ForEach结果?
我正试图优化一个大型收藏的流程(大约100万件)。我正在考虑使用C# 如何尽可能快地处理Parallel.ForEach结果?,c#,.net,task-parallel-library,benchmarking,C#,.net,Task Parallel Library,Benchmarking,我正试图优化一个大型收藏的流程(大约100万件)。我正在考虑使用Parallel.ForEach,但在我的例子中,它似乎并不一定能让事情变得更快 基本上,这个过程有两个方面: 使用一些CPU绑定的操作处理集合 执行一些IO绑定(与数据库相关的内容) 我考虑的一个优化是处理集合中已在1中处理的部分。通过阻止集合 理论是,处理1。使用Parallel.ForEach比使用顺序方法更快,但如果在CPU绑定操作的结果为阻塞时(但由于相关的DB锁…,此部分必须按顺序完成),IO可以被执行,则会更好,以便至
Parallel.ForEach
,但在我的例子中,它似乎并不一定能让事情变得更快
基本上,这个过程有两个方面:
阻止集合
理论是,处理1。使用Parallel.ForEach
比使用顺序方法更快,但如果在CPU绑定操作的结果为阻塞时(但由于相关的DB锁…,此部分必须按顺序完成),IO可以被执行,则会更好,以便至少1。优化和更快
public static class Program
{
[CoreJob]
[RPlotExporter, RankColumn]
public class Paralleling
{
private IEnumerable<int> _items;
[GlobalSetup]
public void Setup()
{
_items = Enumerable.Range(0, 1000);
}
public static long Ackermann(long m, long n)
{
if (m > 0)
{
if (n > 0)
{
return Ackermann(m - 1, Ackermann(m, n - 1));
}
if (n == 0)
{
return Ackermann(m - 1, 1);
}
}
else if (m == 0)
{
if (n >= 0)
{
return n + 1;
}
}
throw new ArgumentOutOfRangeException();
}
[Benchmark]
public async Task ParallelAndSequential()
{
var blockingCollection = new BlockingCollection<(bool, int, int)>();
Task.Run(() =>
{
Parallel.ForEach(_items, item =>
{
Ackermann(0, 2);
var dummy = item % 2 == 0;
blockingCollection.Add((dummy, item, Thread.CurrentThread.ManagedThreadId));
});
blockingCollection.CompleteAdding();
});
using(var streamWriter = new StreamWriter(new MemoryStream()))
{
foreach (var result in blockingCollection.GetConsumingEnumerable())
{
await streamWriter.WriteLineAsync(result.ToString());
await Task.Delay(10);
}
}
}
[Benchmark]
public async Task AllSequential()
{
using(var streamWriter = new StreamWriter(new MemoryStream()))
{
foreach (var item in _items)
{
Ackermann(0, 2);
var dummy = item % 2 == 0;
var result = (dummy, item, Thread.CurrentThread.ManagedThreadId);
await streamWriter.WriteLineAsync(result.ToString());
await Task.Delay(10);
}
}
}
}
public static void Main(params string[] args)
{
var summary = BenchmarkRunner.Run<Paralleling>();
}
}
我真的不明白为什么并行.ForEach
不比整个顺序策略快,是因为阻塞集合
是实际的瓶颈吗
有没有另一种策略可以更好地利用
并行。ForEach
?您的时代表明,向内存写入是最耗时的事情。这与我的处理器在运行期间几乎没有达到20%的利用率这一事实很吻合。当您注释掉stream.WriteLine
时,您可以看到任务非常简短,可以利用并行化:
| Method | Mean | Error | StdDev | Rank |
|---------------------- |----------:|-----------:|---------:|-----:|
| ParallelAndSequential | 564.50 us | 1,759.4 us | 96.44 us | 2 |
| AllSequential | 54.31 us | 400.0 us | 21.92 us | 1 |
好主意是,如果你觉得你的应用程序很慢,甚至在编写基准测试之前,就对它进行评测。它将显示哪个部分/行是瓶颈我决定按照建议利用并重构我的示例代码,以更加强调CPU限制(基本上是一个好的旧
线程。Sleep
)
使用系统;
使用System.Collections.Concurrent;
使用System.Collections.Generic;
使用System.IO;
使用System.Linq;
使用系统线程;
使用System.Threading.Tasks;
使用System.Threading.Tasks.Dataflow;
使用BenchmarkDotNet.Attributes;
使用BenchmarkDotNet.Running;
名称空间控制台
{
公共静态类EnumerableExtensions
{
公共静态void ForEach(此IEnumerable源、操作)
{
foreach(源中的var项)
{
行动(项目);
}
}
}
公共静态类程序
{
[ClrJob]
[RPlotExporter,RankColumn]
公共类并行
{
私人IEnumerable_项目;
[全球设置]
公共作废设置()
{
_项目=可枚举范围(0,5000);
}
私人bool GetMeALongCpuBool(整数)
{
睡眠(10);
返回编号%2==0;
}
[基准]
公共异步任务数据流()
{
var transformBlock=新transformBlock(项目=>
{
var虚拟=GetMeALongCpuBool(项目);
返回(dummy、item、Thread.CurrentThread.ManagedThreadId);
},新的ExecutionDataflowBlockOptions
{
MaxDegreeOfParallelism=Environment.ProcessorCount
});
使用(var streamWriter=newstreamwriter(new MemoryStream()))
{
var actionBlock=新actionBlock(异步结果=>
等待streamWriter.WriteLineAsync(result.ToString());
链接到(actionBlock,新的ExecutionDataflowBlockOptions
{
完成=真
});
_items.ForEach(async item=>await transformBlock.SendAsync(item));
transformBlock.Complete();
等待动作块完成;
}
}
[基准]
公共异步任务ParallelAndSequential()
{
var blockingCollection=new blockingCollection();
Task.Run(()=>
{
Parallel.ForEach(_items,item=>
{
var虚拟=GetMeALongCpuBool(项目);
blockingCollection.Add((dummy,item,Thread.CurrentThread.ManagedThreadId));
});
blockingCollection.CompleteAdding();
});
使用(var streamWriter=newstreamwriter(new MemoryStream()))
{
foreach(var导致blockingCollection.GetConsumingEnumerable())
{
等待streamWriter.WriteLineAsync(result.ToString());
}
}
}
[基准]
公共异步任务AllSequential()
{
使用(var streamWriter=newstreamwriter(new MemoryStream()))
{
foreach(var项目在_项目中)
{
var虚拟=GetMeALongCpuBool(项目);
var result=(dummy,item,Thread.CurrentThread.ManagedThreadId);
等待streamWriter.WriteLineAsync(result.ToString());
}
}
}
}
公共静态void Main(参数字符串[]args)
{
var summary=BenchmarkRunner.Run();
}
}
}
出于某些原因,这一次的Parallel.ForEach
似乎是继数据流之后最快的选项(可能幕后的actor系统增加了一些开销,但它提供了与async
/wait
的平滑集成)这似乎比仅仅使用BlockingCollection.getconsumineGenumerable
更具攻击性,后者具有相对的
| Method | Mean | Error | StdDev | Rank |
|---------------------- |----------:|-----------:|---------:|-----:|
| ParallelAndSequential | 564.50 us | 1,759.4 us | 96.44 us | 2 |
| AllSequential | 54.31 us | 400.0 us | 21.92 us | 1 |
// Validating benchmarks:
// ***** BenchmarkRunner: Start *****
// ***** Found 3 benchmark(s) in total *****
// ***** Building 1 exe(s) in Parallel: Start *****
BuildScript: C:\Users\eperret\Desktop\Playground\ConsoleApp\ConsoleApp\ConsoleApp\bin\Release\net472\34fab948-1750-4a20-832f-c235d6c6b967.bat
// ***** Done, took 00:00:03 (3.47 sec) *****
// Found 3 benchmarks:
// Paralleling.DataFlow: Clr(Runtime=Clr)
// Paralleling.ParallelAndSequential: Clr(Runtime=Clr)
// Paralleling.AllSequential: Clr(Runtime=Clr)
Setup power plan (GUID: 8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c FriendlyName: High performance)// **************************
// Benchmark: Paralleling.DataFlow: Clr(Runtime=Clr)
// *** Execute ***
// Launch: 1 / 1
// Execute: C:\Users\eperret\Desktop\Playground\ConsoleApp\ConsoleApp\ConsoleApp\bin\Release\net472\34fab948-1750-4a20-832f-c235d6c6b967.exe --b
enchmarkName "ConsoleApp.Program+Paralleling.DataFlow" --job "Clr" --benchmarkId 0 in
// BeforeAnythingElse
// Benchmark Process Environment Information:
// Runtime=.NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0
// GC=Concurrent Workstation
// Job: Clr(Runtime=Clr)
OverheadJitting 1: 1 op, 301500.00 ns, 301.5000 us/op
WorkloadJitting 1: 1 op, 6766114100.00 ns, 6.7661 s/op
WorkloadWarmup 1: 1 op, 6684374600.00 ns, 6.6844 s/op
WorkloadWarmup 2: 1 op, 6741597000.00 ns, 6.7416 s/op
WorkloadWarmup 3: 1 op, 6678205800.00 ns, 6.6782 s/op
WorkloadWarmup 4: 1 op, 6694086900.00 ns, 6.6941 s/op
WorkloadWarmup 5: 1 op, 6725310100.00 ns, 6.7253 s/op
WorkloadWarmup 6: 1 op, 6739073300.00 ns, 6.7391 s/op
WorkloadWarmup 7: 1 op, 6701728400.00 ns, 6.7017 s/op
// BeforeActualRun
WorkloadActual 1: 1 op, 6739354900.00 ns, 6.7394 s/op
WorkloadActual 2: 1 op, 6705538000.00 ns, 6.7055 s/op
WorkloadActual 3: 1 op, 6705645700.00 ns, 6.7056 s/op
WorkloadActual 4: 1 op, 6734594900.00 ns, 6.7346 s/op
WorkloadActual 5: 1 op, 6687179600.00 ns, 6.6872 s/op
WorkloadActual 6: 1 op, 6681016900.00 ns, 6.6810 s/op
WorkloadActual 7: 1 op, 6708053800.00 ns, 6.7081 s/op
WorkloadActual 8: 1 op, 6703350900.00 ns, 6.7034 s/op
WorkloadActual 9: 1 op, 6709533800.00 ns, 6.7095 s/op
WorkloadActual 10: 1 op, 6742676000.00 ns, 6.7427 s/op
WorkloadActual 11: 1 op, 6710231600.00 ns, 6.7102 s/op
WorkloadActual 12: 1 op, 6695547000.00 ns, 6.6955 s/op
WorkloadActual 13: 1 op, 6708751300.00 ns, 6.7088 s/op
WorkloadActual 14: 1 op, 6731132100.00 ns, 6.7311 s/op
WorkloadActual 15: 1 op, 6828591700.00 ns, 6.8286 s/op
// AfterActualRun
WorkloadResult 1: 1 op, 6739354900.00 ns, 6.7394 s/op
WorkloadResult 2: 1 op, 6705538000.00 ns, 6.7055 s/op
WorkloadResult 3: 1 op, 6705645700.00 ns, 6.7056 s/op
WorkloadResult 4: 1 op, 6734594900.00 ns, 6.7346 s/op
WorkloadResult 5: 1 op, 6687179600.00 ns, 6.6872 s/op
WorkloadResult 6: 1 op, 6681016900.00 ns, 6.6810 s/op
WorkloadResult 7: 1 op, 6708053800.00 ns, 6.7081 s/op
WorkloadResult 8: 1 op, 6703350900.00 ns, 6.7034 s/op
WorkloadResult 9: 1 op, 6709533800.00 ns, 6.7095 s/op
WorkloadResult 10: 1 op, 6742676000.00 ns, 6.7427 s/op
WorkloadResult 11: 1 op, 6710231600.00 ns, 6.7102 s/op
WorkloadResult 12: 1 op, 6695547000.00 ns, 6.6955 s/op
WorkloadResult 13: 1 op, 6708751300.00 ns, 6.7088 s/op
WorkloadResult 14: 1 op, 6731132100.00 ns, 6.7311 s/op
GC: 0 0 0 0 0
// AfterAll
Mean = 6.7116 s, StdErr = 0.0050 s (0.07%); N = 14, StdDev = 0.0188 s
Min = 6.6810 s, Q1 = 6.7034 s, Median = 6.7084 s, Q3 = 6.7311 s, Max = 6.7427 s
IQR = 0.0278 s, LowerFence = 6.6617 s, UpperFence = 6.7728 s
ConfidenceInterval = [6.6904 s; 6.7328 s] (CI 99.9%), Margin = 0.0212 s (0.32% of Mean)
Skewness = 0.24, Kurtosis = 1.85, MValue = 2
// **************************
// Benchmark: Paralleling.ParallelAndSequential: Clr(Runtime=Clr)
// *** Execute ***
// Launch: 1 / 1
// Execute: C:\Users\eperret\Desktop\Playground\ConsoleApp\ConsoleApp\ConsoleApp\bin\Release\net472\34fab948-1750-4a20-832f-c235d6c6b967.exe --b
enchmarkName "ConsoleApp.Program+Paralleling.ParallelAndSequential" --job "Clr" --benchmarkId 1 in
// BeforeAnythingElse
// Benchmark Process Environment Information:
// Runtime=.NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0
// GC=Concurrent Workstation
// Job: Clr(Runtime=Clr)
OverheadJitting 1: 1 op, 374800.00 ns, 374.8000 us/op
WorkloadJitting 1: 1 op, 6956299700.00 ns, 6.9563 s/op
WorkloadWarmup 1: 1 op, 6046076100.00 ns, 6.0461 s/op
WorkloadWarmup 2: 1 op, 6852625900.00 ns, 6.8526 s/op
WorkloadWarmup 3: 1 op, 5474965800.00 ns, 5.4750 s/op
WorkloadWarmup 4: 1 op, 5473499200.00 ns, 5.4735 s/op
WorkloadWarmup 5: 1 op, 5518366900.00 ns, 5.5184 s/op
WorkloadWarmup 6: 1 op, 6859923700.00 ns, 6.8599 s/op
WorkloadWarmup 7: 1 op, 6862675600.00 ns, 6.8627 s/op
WorkloadWarmup 8: 1 op, 5536335800.00 ns, 5.5363 s/op
// BeforeActualRun
WorkloadActual 1: 1 op, 5528208700.00 ns, 5.5282 s/op
WorkloadActual 2: 1 op, 5519601400.00 ns, 5.5196 s/op
WorkloadActual 3: 1 op, 5500471200.00 ns, 5.5005 s/op
WorkloadActual 4: 1 op, 5539328200.00 ns, 5.5393 s/op
WorkloadActual 5: 1 op, 5465452200.00 ns, 5.4655 s/op
WorkloadActual 6: 1 op, 5470452100.00 ns, 5.4705 s/op
WorkloadActual 7: 1 op, 5512168300.00 ns, 5.5122 s/op
WorkloadActual 8: 1 op, 5472912400.00 ns, 5.4729 s/op
WorkloadActual 9: 1 op, 5855563000.00 ns, 5.8556 s/op
WorkloadActual 10: 1 op, 5992147700.00 ns, 5.9921 s/op
WorkloadActual 11: 1 op, 6143075000.00 ns, 6.1431 s/op
WorkloadActual 12: 1 op, 6397675600.00 ns, 6.3977 s/op
WorkloadActual 13: 1 op, 6909029100.00 ns, 6.9090 s/op
WorkloadActual 14: 1 op, 5525335600.00 ns, 5.5253 s/op
WorkloadActual 15: 1 op, 5470029700.00 ns, 5.4700 s/op
WorkloadActual 16: 1 op, 5481800300.00 ns, 5.4818 s/op
WorkloadActual 17: 1 op, 5507468600.00 ns, 5.5075 s/op
WorkloadActual 18: 1 op, 5465031900.00 ns, 5.4650 s/op
WorkloadActual 19: 1 op, 5478785200.00 ns, 5.4788 s/op
WorkloadActual 20: 1 op, 5511074600.00 ns, 5.5111 s/op
WorkloadActual 21: 1 op, 6080651400.00 ns, 6.0807 s/op
WorkloadActual 22: 1 op, 6829810900.00 ns, 6.8298 s/op
WorkloadActual 23: 1 op, 6878471900.00 ns, 6.8785 s/op
WorkloadActual 24: 1 op, 5506067800.00 ns, 5.5061 s/op
WorkloadActual 25: 1 op, 5442596200.00 ns, 5.4426 s/op
WorkloadActual 26: 1 op, 5463614300.00 ns, 5.4636 s/op
WorkloadActual 27: 1 op, 5491205500.00 ns, 5.4912 s/op
WorkloadActual 28: 1 op, 5482997900.00 ns, 5.4830 s/op
WorkloadActual 29: 1 op, 5494967800.00 ns, 5.4950 s/op
WorkloadActual 30: 1 op, 5517805900.00 ns, 5.5178 s/op
WorkloadActual 31: 1 op, 5486377000.00 ns, 5.4864 s/op
// AfterActualRun
WorkloadResult 1: 1 op, 5528208700.00 ns, 5.5282 s/op
WorkloadResult 2: 1 op, 5519601400.00 ns, 5.5196 s/op
WorkloadResult 3: 1 op, 5500471200.00 ns, 5.5005 s/op
WorkloadResult 4: 1 op, 5539328200.00 ns, 5.5393 s/op
WorkloadResult 5: 1 op, 5465452200.00 ns, 5.4655 s/op
WorkloadResult 6: 1 op, 5470452100.00 ns, 5.4705 s/op
WorkloadResult 7: 1 op, 5512168300.00 ns, 5.5122 s/op
WorkloadResult 8: 1 op, 5472912400.00 ns, 5.4729 s/op
WorkloadResult 9: 1 op, 5855563000.00 ns, 5.8556 s/op
WorkloadResult 10: 1 op, 5992147700.00 ns, 5.9921 s/op
WorkloadResult 11: 1 op, 6143075000.00 ns, 6.1431 s/op
WorkloadResult 12: 1 op, 6397675600.00 ns, 6.3977 s/op
WorkloadResult 13: 1 op, 5525335600.00 ns, 5.5253 s/op
WorkloadResult 14: 1 op, 5470029700.00 ns, 5.4700 s/op
WorkloadResult 15: 1 op, 5481800300.00 ns, 5.4818 s/op
WorkloadResult 16: 1 op, 5507468600.00 ns, 5.5075 s/op
WorkloadResult 17: 1 op, 5465031900.00 ns, 5.4650 s/op
WorkloadResult 18: 1 op, 5478785200.00 ns, 5.4788 s/op
WorkloadResult 19: 1 op, 5511074600.00 ns, 5.5111 s/op
WorkloadResult 20: 1 op, 6080651400.00 ns, 6.0807 s/op
WorkloadResult 21: 1 op, 5506067800.00 ns, 5.5061 s/op
WorkloadResult 22: 1 op, 5442596200.00 ns, 5.4426 s/op
WorkloadResult 23: 1 op, 5463614300.00 ns, 5.4636 s/op
WorkloadResult 24: 1 op, 5491205500.00 ns, 5.4912 s/op
WorkloadResult 25: 1 op, 5482997900.00 ns, 5.4830 s/op
WorkloadResult 26: 1 op, 5494967800.00 ns, 5.4950 s/op
WorkloadResult 27: 1 op, 5517805900.00 ns, 5.5178 s/op
WorkloadResult 28: 1 op, 5486377000.00 ns, 5.4864 s/op
GC: 0 0 0 0 0
// AfterAll
Mean = 5.6001 s, StdErr = 0.0469 s (0.84%); N = 28, StdDev = 0.2479 s
Min = 5.4426 s, Q1 = 5.4758 s, Median = 5.5033 s, Q3 = 5.5268 s, Max = 6.3977 s
IQR = 0.0509 s, LowerFence = 5.3995 s, UpperFence = 5.6032 s
ConfidenceInterval = [5.4272 s; 5.7730 s] (CI 99.9%), Margin = 0.1729 s (3.09% of Mean)
Skewness = 1.93, Kurtosis = 5.45, MValue = 2
// **************************
// Benchmark: Paralleling.AllSequential: Clr(Runtime=Clr)
// *** Execute ***
// Launch: 1 / 1
// Execute: C:\Users\eperret\Desktop\Playground\ConsoleApp\ConsoleApp\ConsoleApp\bin\Release\net472\34fab948-1750-4a20-832f-c235d6c6b967.exe -
-benchmarkName "ConsoleApp.Program+Paralleling.AllSequential" --job "Clr" --benchmarkId 2 in
// BeforeAnythingElse
// Benchmark Process Environment Information:
// Runtime=.NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0
// GC=Concurrent Workstation
// Job: Clr(Runtime=Clr)
OverheadJitting 1: 1 op, 293200.00 ns, 293.2000 us/op
WorkloadJitting 1: 1 op, 53809888100.00 ns, 53.8099 s/op
WorkloadWarmup 1: 1 op, 53587422400.00 ns, 53.5874 s/op
WorkloadWarmup 2: 1 op, 53646293300.00 ns, 53.6463 s/op
WorkloadWarmup 3: 1 op, 53664071000.00 ns, 53.6641 s/op
WorkloadWarmup 4: 1 op, 53565564100.00 ns, 53.5656 s/op
WorkloadWarmup 5: 1 op, 53753653900.00 ns, 53.7537 s/op
WorkloadWarmup 6: 1 op, 53765022400.00 ns, 53.7650 s/op
WorkloadWarmup 7: 1 op, 53548369900.00 ns, 53.5484 s/op
// BeforeActualRun
WorkloadActual 1: 1 op, 53571559600.00 ns, 53.5716 s/op
WorkloadActual 2: 1 op, 53777716600.00 ns, 53.7777 s/op
WorkloadActual 3: 1 op, 53634262000.00 ns, 53.6343 s/op
WorkloadActual 4: 1 op, 53555998800.00 ns, 53.5560 s/op
WorkloadActual 5: 1 op, 53529152600.00 ns, 53.5292 s/op
WorkloadActual 6: 1 op, 53609217000.00 ns, 53.6092 s/op
WorkloadActual 7: 1 op, 53511316400.00 ns, 53.5113 s/op
WorkloadActual 8: 1 op, 53246673500.00 ns, 53.2467 s/op
WorkloadActual 9: 1 op, 53770915500.00 ns, 53.7709 s/op
WorkloadActual 10: 1 op, 54462781200.00 ns, 54.4628 s/op
WorkloadActual 11: 1 op, 54111001500.00 ns, 54.1110 s/op
WorkloadActual 12: 1 op, 54194051600.00 ns, 54.1941 s/op
WorkloadActual 13: 1 op, 53924013600.00 ns, 53.9240 s/op
WorkloadActual 14: 1 op, 53855213500.00 ns, 53.8552 s/op
WorkloadActual 15: 1 op, 53919584800.00 ns, 53.9196 s/op
// AfterActualRun
WorkloadResult 1: 1 op, 53571559600.00 ns, 53.5716 s/op
WorkloadResult 2: 1 op, 53777716600.00 ns, 53.7777 s/op
WorkloadResult 3: 1 op, 53634262000.00 ns, 53.6343 s/op
WorkloadResult 4: 1 op, 53555998800.00 ns, 53.5560 s/op
WorkloadResult 5: 1 op, 53529152600.00 ns, 53.5292 s/op
WorkloadResult 6: 1 op, 53609217000.00 ns, 53.6092 s/op
WorkloadResult 7: 1 op, 53511316400.00 ns, 53.5113 s/op
WorkloadResult 8: 1 op, 53246673500.00 ns, 53.2467 s/op
WorkloadResult 9: 1 op, 53770915500.00 ns, 53.7709 s/op
WorkloadResult 10: 1 op, 54462781200.00 ns, 54.4628 s/op
WorkloadResult 11: 1 op, 54111001500.00 ns, 54.1110 s/op
WorkloadResult 12: 1 op, 54194051600.00 ns, 54.1941 s/op
WorkloadResult 13: 1 op, 53924013600.00 ns, 53.9240 s/op
WorkloadResult 14: 1 op, 53855213500.00 ns, 53.8552 s/op
WorkloadResult 15: 1 op, 53919584800.00 ns, 53.9196 s/op
GC: 0 0 0 0 0
// AfterAll
Mean = 53.7782 s, StdErr = 0.0804 s (0.15%); N = 15, StdDev = 0.3113 s
Min = 53.2467 s, Q1 = 53.5560 s, Median = 53.7709 s, Q3 = 53.9240 s, Max = 54.4628 s
IQR = 0.3680 s, LowerFence = 53.0040 s, UpperFence = 54.4760 s
ConfidenceInterval = [53.4454 s; 54.1110 s] (CI 99.9%), Margin = 0.3328 s (0.62% of Mean)
Skewness = 0.49, Kurtosis = 2.53, MValue = 2
Successfully reverted power plan (GUID: 8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c FriendlyName: High performance)
// ***** BenchmarkRunner: Finish *****
// * Export *
BenchmarkDotNet.Artifacts\results\ConsoleApp.Program.Paralleling-report.csv
BenchmarkDotNet.Artifacts\results\ConsoleApp.Program.Paralleling-report-github.md
BenchmarkDotNet.Artifacts\results\ConsoleApp.Program.Paralleling-report.html
BenchmarkDotNet.Artifacts\results\ConsoleApp.Program.Paralleling-measurements.csv
BuildPlots.R
RPlotExporter couldn't find Rscript.exe in your PATH and no R_HOME environment variable is defined
// * Detailed results *
Paralleling.DataFlow: Clr(Runtime=Clr)
Runtime = .NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0; GC = Concurrent Workstation
Mean = 6.7116 s, StdErr = 0.0050 s (0.07%); N = 14, StdDev = 0.0188 s
Min = 6.6810 s, Q1 = 6.7034 s, Median = 6.7084 s, Q3 = 6.7311 s, Max = 6.7427 s
IQR = 0.0278 s, LowerFence = 6.6617 s, UpperFence = 6.7728 s
ConfidenceInterval = [6.6904 s; 6.7328 s] (CI 99.9%), Margin = 0.0212 s (0.32% of Mean)
Skewness = 0.24, Kurtosis = 1.85, MValue = 2
-------------------- Histogram --------------------
[6.674 s ; 6.750 s) | @@@@@@@@@@@@@@
---------------------------------------------------
Paralleling.ParallelAndSequential: Clr(Runtime=Clr)
Runtime = .NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0; GC = Concurrent Workstation
Mean = 5.6001 s, StdErr = 0.0469 s (0.84%); N = 28, StdDev = 0.2479 s
Min = 5.4426 s, Q1 = 5.4758 s, Median = 5.5033 s, Q3 = 5.5268 s, Max = 6.3977 s
IQR = 0.0509 s, LowerFence = 5.3995 s, UpperFence = 5.6032 s
ConfidenceInterval = [5.4272 s; 5.7730 s] (CI 99.9%), Margin = 0.1729 s (3.09% of Mean)
Skewness = 1.93, Kurtosis = 5.45, MValue = 2
-------------------- Histogram --------------------
[5.420 s ; 5.562 s) | @@@@@@@@@@@@@@@@@@@@@@@
[5.562 s ; 5.705 s) |
[5.705 s ; 5.852 s) |
[5.852 s ; 5.995 s) | @@
[5.995 s ; 6.183 s) | @@
[6.183 s ; 6.326 s) |
[6.326 s ; 6.469 s) | @
---------------------------------------------------
Paralleling.AllSequential: Clr(Runtime=Clr)
Runtime = .NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0; GC = Concurrent Workstation
Mean = 53.7782 s, StdErr = 0.0804 s (0.15%); N = 15, StdDev = 0.3113 s
Min = 53.2467 s, Q1 = 53.5560 s, Median = 53.7709 s, Q3 = 53.9240 s, Max = 54.4628 s
IQR = 0.3680 s, LowerFence = 53.0040 s, UpperFence = 54.4760 s
ConfidenceInterval = [53.4454 s; 54.1110 s] (CI 99.9%), Margin = 0.3328 s (0.62% of Mean)
Skewness = 0.49, Kurtosis = 2.53, MValue = 2
-------------------- Histogram --------------------
[53.136 s ; 54.573 s) | @@@@@@@@@@@@@@@
---------------------------------------------------
// * Summary *
BenchmarkDotNet=v0.11.5, OS=Windows 10.0.17134.407 (1803/April2018Update/Redstone4)
Intel Core i7-7820HQ CPU 2.90GHz (Kaby Lake), 1 CPU, 8 logical and 4 physical cores
[Host] : .NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0
Clr : .NET Framework 4.7.2 (CLR 4.0.30319.42000), 64bit RyuJIT-v4.7.3221.0
Job=Clr Runtime=Clr
| Method | Mean | Error | StdDev | Rank |
|---------------------- |---------:|---------:|---------:|-----:|
| DataFlow | 6.712 s | 0.0212 s | 0.0188 s | 2 |
| ParallelAndSequential | 5.600 s | 0.1729 s | 0.2479 s | 1 |
| AllSequential | 53.778 s | 0.3328 s | 0.3113 s | 3 |
// * Hints *
Outliers
Paralleling.DataFlow: Clr -> 1 outlier was removed (6.83 s)
Paralleling.ParallelAndSequential: Clr -> 3 outliers were removed (6.83 s..6.91 s)
// * Legends *
Mean : Arithmetic mean of all measurements
Error : Half of 99.9% confidence interval
StdDev : Standard deviation of all measurements
Rank : Relative position of current benchmark mean among all benchmarks (Arabic style)
1 s : 1 Second (1 sec)
// ***** BenchmarkRunner: End *****
// ** Remained 0 benchmark(s) to run **
Run time: 00:27:06 (1626.41 sec), executed benchmarks: 3
Global total time: 00:27:09 (1629.9 sec), executed benchmarks: 3
// * Artifacts cleanup *
_items = Enumerable.Range(0, 100);
Ackermann(m: 3, n: 6);
var blockingCollection = new BlockingCollection<(bool, int, int)>(boundedCapacity: 10);
await streamWriter.WriteLineAsync(result.ToString()).ConfigureAwait(false);
//await Task.Delay(10);
new ParallelOptions() {MaxDegreeOfParallelism = Environment.ProcessorCount - 1};