Thread A Acquires a lock on a in C#.NET

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Thread A Acquires a lock on a
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Thread B Acquires a lock on b Requests a lock on a Deadlocks, waiting for a
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Requests a lock on b Deadlocks, waiting for b
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18: Multithreading
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At this point, each thread is waiting on the other thread before proceeding, so each thread is blocked, leading to an overall deadlock in the execution of that code
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Uncertainty The problem with code that is not atomic or causes deadlocks is that it depends on the order in which processor instructions across multiple threads occur This dependency introduces uncertainty concerning program execution The order in which one instruction will execute relative to an instruction in a different thread is unknown Many times, the code will appear to behave uniformly, but occasionally it will not, and this is the crux of multithreaded programming Because such race conditions are difficult to replicate in the laboratory, much of the quality assurance of multithreaded code depends on long-running stress tests, specially designed code analysis tools, and a significant investment in code analysis/reviews
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The operating system implements threads and provides various unmanaged APIs to create and manage those threads The CLR wraps these unmanaged threads and exposes them in managed code via the SystemThreadingTasksTask class, which represents an asynchronous operation However, a Task does not map directly to an unmanaged thread Rather, the Task provides a degree of abstraction to the underlying unmanaged thread construct Creating a thread is a relatively expensive operation Therefore, whenever you can reuse a thread between two or more sets of instructions (rather than re-creating the thread for each set) the overall execution is potentially more efficient In NET Framework 4, instead of creating an operating system thread each time a Task is created, the Task requests a thread from the thread pool The thread pool evaluates whether to create an entirely new thread or to allocate an existing thread (such as one that previously finished executing) to the Task request
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By abstracting the concept of a thread into Task, the NET multithreading API reduces the complexities of efficiently managing the thread that is, when to create a new operating system thread and when to reuse an existing one Similarly, the internal behavior of the Task (via SystemThreadingThreadPool) manages when to return a thread to the thread pool for later reuse and when to deallocate the thread and release any resources it may be consuming The work of programming the Task involves assigning the set of instructions the Task will execute and then starting the Task Not surprisingly, assigning the instructions is heavily dependent on delegates Listing 181 provides a simple example, and Output 181 shows a partial listing of the results
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Listing 181: Starting a Method in a Separate Thread
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using System; using SystemThreadingTasks; public class Program { public static void Main() { const int repetitions = 10000; Task task = new Task(() => { for (int count = 0; count < repetitions; count++) { ConsoleWrite('-'); } }); taskStart(); for (int count = 0; count < repetitions; count++) { ConsoleWrite(''); } // Wait until the Task completes taskWait(); } }
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OUTPUT 181:
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The code that is to run in a new thread is defined in the delegate (of type Action in this case) passed to the Task() constructor This delegate (in the form of a lambda expression) prints out to the console repeatedly during each iteration within a loop The for loop following the Task declaration is virtually identical, except that it displays - The resultant output from the program is a series of dashes until the thread context switches, at which time the program displays periods until the next thread switch, and so on (On Windows, it is possible to increase the chances of a thread context switch by using Start /low /b <programexe> to execute the program This will assign the entire process a lower priority, causing its threads to be interrupted more frequently, and thus causing more frequent thread switches) The fact that the output has periods and dashes interleaving indicates that both for loops were running simultaneously in parallel Notice that following the Task declaration there is a call to Start() Until this call is executed, the Action specified to Task doesn t start executing Additionally, the call to taskWait() forces the main thread
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