Sensitive to speed of CPU, so keep it PARALLEL and use multi-processing. Multi-processing means a new process is started independent from first process. {Multi-process} If the program is CPU bound i.e the processes which are sensitive to the speed of the CPU, its good idea to keep it PARALLEL AND USE PROCESSES. That means go for Multi-Processing.
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.
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
Python Multi-Threading vs Multi-Processing Bench-marking the two methods of concurrent task execution: multi-threading and multiprocessing in Python. Furqan Butt · Follow Published in Towards Data Science · 6 min read · Jun 9, 2020 -- 1 Photo by Chris Ried on Unsplash.com
While In Multithreading, many threads are created of a single process for increasing computing power. 2. In Multiprocessing, Many processes are executed simultaneously. While in multithreading, many threads of a process are executed simultaneously. 3. Multiprocessing are classified into Symmetric and Asymmetric.
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