Python Concurrency: Threading vs. Multiprocessing - Learn when to use each for efficient parallel execution. Real-world examples and performance metrics. What are the differences between the threading and multiprocessing modules? (6 answers) Closed 3 years ago. I am trying to understand the advantages of multiprocessing over threading. I know that multiprocessing gets around the Global Interpreter Lock, but what other advantages are there, and can threading not do the same thing? python The key difference between multiprocessing and multithreading is that multiprocessing allows a system to have more than two CPUs added to the system whereas multithreading lets a process generate multiple threads to increase the computing speed of a system. Multiprocessing system executes multiple processes simultaneously whereas, the Processes cannot share memory with each other as easily as threads can within the same process. But it's always a thread that does the code execution. Now, two instances of your application running on the same machine, multithreaded will use the CPU cores available and will have to share these cores among them. Multithreading focuses on generating computing threads from a single process, whereas multiprocessing increases computing power by adding CPUs. Multiprocessing is used to create a more reliable system, whereas multithreading is used to create threads that run parallel to each other. So when you use multi-threading (multiple threads in one process), you'll see no performance boost from having 2, 4 or 8 CPUs / cores. Multi-processing is different. In multi-processing, multiple separate Python processes are used (with one thread per process) and each process has its own separate GIL. 1. Introduction. Multiprocessing and multithreading are core concepts of computer multitasking. First of all, computer multitasking means that a computer system enables multiple (and generally different) tasks to execute concurrently over a certain period. Processes and threads are execution instances of these tasks. There was no significant performance difference between using threading vs multiprocessing. The performance between multithreading and multiprocessing are extremely similar and the exact performance details are likely to depend on your specific application. Multiple processes are executed in a parallel fashion. Multiple threads are executed in a parallel fashion. Categories: Multiprocessing can be classified into symmetric and asymmetric multiprocessing. No such classification present for multithreading. Time: Process creation is time-consuming. Thread creation is easy and is time savvy. Execution uDdS2fx.