1 public static void test()
 3         {
 5             for (int i = 0; i < 10000; i++)
 7             {
 9                 Console.WriteLine(i);
11             }
13         }
14 
15         public static void test1()
17         {
19             for (int i = 0; i < 10000; i++)
21             {
23                 Console.WriteLine(i + "aaaaaaaaaaaaaaa");
25             }
27         }

 1 static void Main(string[] args)
 3         {
 5             Stopwatch sw = new Stopwatch();
 7             sw.Start();
 9 //串行执行：
11 test();
13 test1();
15 //并行执行：
17Parallel.Invoke(test, test1);
19sw.Stop();
21Console.WriteLine("共耗费时间：");
23Console.WriteLine(sw.ElapsedMilliseconds / 1000+"s");
25 }

 1 Parallel.ForEach(Partitioner.Create(1,20,5),(x,s)=>{
 3                 //并行代码中自定义串行,第三个参数表示item1到item2之间的范围

 6                 Console.WriteLine(x);
 8                 for (int i = x.Item1; i < x.Item2; i++)
10                 {
12                     if (i == 10) break;
13 
14                     Console.WriteLine(i);
16                 }
18                 s.Break();// 非常类似普通for循环中的break
20                 if (s.ShouldExitCurrentIteration)
22                     return;
24             });

 1 int[] arry = new int[10001];
 2 
 3             for (int i = 0; i < 10000; i++)
 5             {
 7                 arry[i] = i;
 9             }
11             try
13             {
14 
15                 Parallel.ForEach(arry, (x, s) =>
17                 {
19                     Console.WriteLine(x);
21                     if (sw.Elapsed.Seconds > 3)
23                     {
25                         throw new TimeoutException("操作超时");
27                     }
29                 });
31             }
33             catch (AggregateException ex)
35             {
39                 foreach (var item in ex.InnerExceptions)
41                 {
43                     Console.WriteLine(item);
45                 }
47             }

 1 ParallelOptions options = new ParallelOptions();
 3             options.MaxDegreeOfParallelism = 1;//如果设置为1就类似于串行代码按顺序执行
 5             options.MaxDegreeOfParallelism =Environment.ProcessorCount;//获取计算机上面的处理器数量
 7             Parallel.For(1,10,options,(x) =>
 9             {
11                 Console.WriteLine(x);
13             });