Multiprocessing
Multiprocessing is a programming paradigm that enables concurrent execution of multiple processes, typically leveraging multiple CPU cores to improve performance for CPU-bound tasks. It involves creating separate processes with their own memory space, allowing true parallelism in multi-core systems. This contrasts with multithreading, where threads share memory and are subject to limitations like the Global Interpreter Lock (GIL) in languages like Python.
Developers should use multiprocessing when dealing with CPU-intensive workloads that can be parallelized, such as data processing, scientific simulations, or image/video rendering, to fully utilize modern multi-core processors and reduce execution time. It is particularly valuable in high-performance computing, machine learning model training, and batch processing scenarios where tasks are independent and can run in parallel without shared state conflicts.