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Task.WaitAll method vs Parallel.Invoke method

I have sample code to compare processing time for Parallel approach and Task approach. The goal of this experiment is understanding of how do they work.

So my questions are:

  1. Why Parallel worked faster then Task?
  2. Do my results mean that I should use Parallel instead of Task?
  3. Where should I use Task and where Parallel?
  4. What benefits of using Task in comparison to Parallel?
  5. Does Task is just a wrap for ThreadPool.QueueUserWorkItem method?

        public Task SomeLongOperation()     {         return Task.Delay(3000);     }      static void Main(string[] args)     {         Program p = new Program();         List<Task> tasks = new List<Task>();          tasks.Add(Task.Factory.StartNew(() => p.SomeLongOperation()));         tasks.Add(Task.Factory.StartNew(() => p.SomeLongOperation()));          var arr = tasks.ToArray();          Stopwatch sw = Stopwatch.StartNew();         Task.WaitAll(arr);         Console.WriteLine("Task wait all results: " + sw.Elapsed);         sw.Stop();          sw = Stopwatch.StartNew();         Parallel.Invoke(() => p.SomeLongOperation(), () => p.SomeLongOperation());         Console.WriteLine("Parallel invoke results: " + sw.Elapsed);         sw.Stop();          Console.ReadKey();     } 

Here are my processing results: results

EDIT:

Changed code to look like this:

    Program p = new Program();     Task[] tasks = new Task[2];      Stopwatch sw = Stopwatch.StartNew();     tasks[0] = Task.Factory.StartNew(() => p.SomeLongOperation());     tasks[1] = Task.Factory.StartNew(() => p.SomeLongOperation());      Task.WaitAll(tasks);     Console.WriteLine("Task wait all results: " + sw.Elapsed);     sw.Stop();      sw = Stopwatch.StartNew();     Parallel.Invoke(() => p.SomeLongOperation(), () => p.SomeLongOperation());     Console.WriteLine("Parallel invoke results: " + sw.Elapsed);     sw.Stop(); 

My new results:

new results

EDIT 2: When I replaced code with Parallel.Invoke to be first and Task.WaitAll to be second the situation has been changed cardinally. Now Parallel is slower. It makes me think of incorrectness of my estimates. I changed code to look like this:

Program p = new Program(); Task[] tasks = new Task[2];  Stopwatch sw = null; for (int i = 0; i < 10; i++) {     sw = Stopwatch.StartNew();     Parallel.Invoke(() => p.SomeLongOperation(), () => p.SomeLongOperation());     string res = sw.Elapsed.ToString();     Console.WriteLine("Parallel invoke results: " + res);     sw.Stop(); }  for (int i = 0; i < 10; i++) {     sw = Stopwatch.StartNew();     tasks[0] = Task.Factory.StartNew(() => p.SomeLongOperation());     tasks[1] = Task.Factory.StartNew(() => p.SomeLongOperation());     Task.WaitAll(tasks);     string res2 = sw.Elapsed.ToString();     Console.WriteLine("Task wait all results: " + res2);     sw.Stop(); } 

And here are my new results:

enter image description here

enter image description here

Now I can suggest that this experiment is much more clear. The results are almost the same. Sometimes Parallel and sometimes Task is faster. Now my questions are:

1. Where should I use Task and where Parallel?

2. What benefits of using Task in comparison to Parallel?

3. Does Task is just a wrap for ThreadPool.QueueUserWorkItem method?

Any helpful info that can clarify those questions are welcome.

like image 379
Igor Lozovsky Avatar asked Apr 19 '13 09:04

Igor Lozovsky


1 Answers

EDIT as of this article from MSDN:

Both Parallel and Task are wrappers for ThreadPool. Parallel invoke also awaits until all tasks will be finished.

Related to your questions:

Using Task, Parallel or ThreadPool depends on the granularity of control you need to have on the execution of your parallel tasks. I'm personally got used to Task.Factory.StartNew(), but that's a personal opinion. The same relates to ThreadPool.QueueUserWorkItem()

Additional Information: The first call to Parallel.Invoke() and Task.Factory.StartNew() might be slower due to internal initialization.

like image 175
Stephen Reindl Avatar answered Sep 21 '22 17:09

Stephen Reindl