Multithreading learning limits the number of threads running at the same time

In my spare time, I have been engaged in multi-thread learning. I only want to prepare for the next project. With the optimization, development, and performance considerations of the project, I will gradually use something that I didn't need before and get familiar with first.

Let's put things up first. You are welcome to give us some advice. It has been a long time for us to play with things, and it is definitely not perfect. I hope you can give us some valuable comments (~~)

 

Approximate Function Description: In order to improve data processing speed, the task queue is handed over to different sub-threads to complete, and the number of new threads to be started is limited, so that too many threads can be regarded as machine shells.

 

                   NowThCount = ;           MaxThCount = ;           RunNum = ;                           (                                    (NowThCount ==  && RunNum ==                                                                          (RunNum ==  && NowThCount !=                       Thread.Sleep();                     ;                                     (NowThCount >=                      Thread.Sleep();                     ;                                     (RunNum >  && NowThCount <                                           RunNum--                      NewTh =  Thread(                Console.WriteLine(+                         NowThCount++;              Console.WriteLine( +             Thread.Sleep(             Console.WriteLine( + Thread.CurrentThread.ManagedThreadId +               NowThCount--;   }

 

 

Written at the end: I feel that the program is not perfect, will it become abnormal due to special reasons during running, and will it still be in testing .....