public static class Profiler

Public NotInheritable Class Profiler

public ref class Profiler abstract sealed

[<AbstractClassAttribute>]
[<SealedAttribute>]
type Profiler =  class end

 // The compilation symbol "DIGITALRUNE_PROFILE" must be defined to activate profiling.
 #define DIGITALRUNE_PROFILE

 using System;
 using DigitalRune.Diagnostics;
 using DigitalRune.Threading;

 namespace ProfilingTest
 {
   class Program
   {
     static void Main(string[] args)
     {
       // Warmstart: We call Foo and the Parallel class so that all one-time initializations are 
       // done before we start measuring.
       Parallel.For(0, 100, i => Foo());
       Profiler.ResetAll();

       // Measure time of a sequential for-loop.
       Profiler.Start("MainSequential");
       for (int i = 0; i < 100; i++)
         Foo();
       Profiler.Stop("MainSequential");

       // Measure time of a parallel for-loop.
       Profiler.Start("MainParallel");
       Parallel.For(0, 100, i => Foo());
       Profiler.Stop("MainParallel");}

       // Format the output by defining a useful scale. We add descriptions so that any other 
       // developer looking at the output can interpret them more easily.
       Profiler.SetFormat("MainSequential", 1e3f, "[ms]");
       Profiler.SetFormat("MainParallel", 1e3f, "[ms]");
       Profiler.SetFormat("Foo", 1e6f, "[µs]");
       Profiler.SetFormat("ValuesBelow10", 1.0f / 100.0f, "[%]");

       // Print the profiling results.
       Console.WriteLine(Profiler.DumpAll());
       Console.ReadKey();
     }

     public static void Foo()
     {
       Profiler.Start("Foo");

       var random = new Random();
       int numberOfValuesBelow10 = 0;
       for (int i = 0; i < 10000; i++)
       {
         int x = random.Next(0, 100);
         if (x < 10)
           numberOfValuesBelow10++;
       }

       // Profilers can also collect other interesting numbers (not only time). 
       Profiler.AddValue("ValuesBelow10", numberOfValuesBelow10);

       Profiler.Stop("Foo");
     }
   }
 }

/* This writes following output to the console:
(The values after "Thread:" are the thread name and the ManagedThreadId.)

Thread:  (#1)
Name              Calls      Sum          Min        Avg        Max Description
-------------------------------------------------------------------------------
Foo                 127  37895,500    286,800    298,390    385,100 [µs]
ValuesBelow10       127   1271,060      9,700     10,008     10,160 [%]
MainSequential        1     29,834     29,834     29,834     29,834 [ms]
MainParallel          1      8,717      8,717      8,717      8,717 [ms]

Thread: Parallel Worker 0 (#3)
Name              Calls      Sum          Min        Avg        Max Description
-------------------------------------------------------------------------------
Foo                  27   8128,200    288,000    301,044    417,400 [µs]
ValuesBelow10        27    272,640     10,040     10,098     10,160 [%]

Thread: Parallel Worker 1 (#4)
Name              Calls      Sum          Min        Avg        Max Description
-------------------------------------------------------------------------------
Foo                  19   7812,600    340,200    411,189   1307,900 [µs]
ValuesBelow10        19    191,720     10,040     10,091     10,160 [%]

Thread: Parallel Worker 2 (#5)
Name              Calls      Sum          Min        Avg        Max Description
-------------------------------------------------------------------------------
Foo                  27   7998,300    286,800    296,233    326,800 [µs]
ValuesBelow10        27    272,640     10,040     10,098     10,160 [%]

Thread: Parallel Worker 3 (#6)
Name              Calls      Sum          Min        Avg        Max Description
-------------------------------------------------------------------------------
Foo                   0          -          -          -          - [µs]
ValuesBelow10         0          -          -          -          - [%]*/