Proc2 = multiprocessing.Process(target=prnt_cu, args=(5, )) Proc1 = multiprocessing.Process(target=prnt_squ, args=(5, )) # importing Python multiprocessing module Let’s use an example to better understand the use of the multiprocessing module in Python.Įxample - Using the Process Class to Implement Multiprocessing in Python The primary classes of the Python multiprocessing module are: It overcomes the limitations of Global Interpreter Lock (GIL) by using sub-processes instead of threads. It offers an easy-to-use API for dividing processes between many processors, thereby fully leveraging multiprocessing. The Python multiprocessing module provides multiple classes that allow us to build parallel programs to implement multiprocessing in Python. In multiprocessing, the system can divide and assign tasks to different processors.
It becomes simpler, right? That’s why multiprocessing in Python becomes essential. Suppose there are different employees, each to perform a specific task.
If the employee has to manage the sales, accounts, and even the backend, he will have to stop sales when he is into accounts and vice versa. You can think of it as an employee in an organization tasked to perform jobs in multiple departments. Thus, it will have to interrupt each task, thereby hampering the performance. As the number of processes keeps increasing, the processor will have to halt the current process and move to the next, to keep them going. Performing multiple operations for a single processor becomes challenging. The operating system can then allocate all these threads or processes to the processor to run them parallelly, thus improving the overall performance and efficiency. It will enable the breaking of applications into smaller threads that can run independently. Once you have a list of delegates you can process them the same as the existing Handler method above.Multiprocessing in Python is a built-in package that allows the system to run multiple processes simultaneously. Then in the Handler method you would extract the delegate list via Delgate.GetInvocationList(). With a little work you could adapt the above class to expose an event so that listeners can subscribe and unsubscribe at will. Any shared state being changed now needs to be synchronized, etc. Lastly you need to be aware of other concerns regarding multi-threaded code. Static void Test2(Object sender, EventArgs args)Īs expected the program above runs them in parallel as demonstrated by the following output: Start Test 1 Static void Test1(Object sender, EventArgs args) IAsyncResult asyncResults = new IAsyncResult Public void Handler(Object sender, TEventArg args) Throw new ArgumentNullException("moreHandlers") Throw new ArgumentNullException("handler1") Public ParallelEvent(EventHandler handler1, params EventHandler moreHandlers) Private readonly EventHandler _moreHandlers class ParallelEvent where TEventArg : EventArgs The first event provided runs inline with the event call while all others are executed on the default thread pool. Here is a quick-and-dirty class to demonstrate this. This is easy enough to wrap up in a class however, you need to aggregate all the event handlers into a single event handler before subscribing to the desired event.
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