Both Multiprocessing and Multithreading are used to increase the computing power of a system.
Multiprocessing:
Multiprocessing is a system that has more than one or two processors. In Multiprocessing, CPUs are added for increasing computing speed of the system. Because of Multiprocessing, There are many processes are executed simultaneously. Multiprocessing are classified into two categories:
Multiprocessing is a system that has more than one or two processors. In Multiprocessing, CPUs are added for increasing computing speed of the system. Because of Multiprocessing, There are many processes are executed simultaneously. Multiprocessing are classified into two categories:
The multiprocessing module is suitable for sharing data or tasks between processor cores. It does not use threading, but processes instead. Processes are inherently more “expensive” that threads, so they are not worth using for trivial data sets or tasks. 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.
Multithreading:
Multithreading is a system in which multiple threads are created of a process for increasing the computing speed of the system. In multithreading, many threads of a process are executed simultaneously and process creation in multithreading is done according to economical.
Multithreading is a system in which multiple threads are created of a process for increasing the computing speed of the system. In multithreading, many threads of a process are executed simultaneously and process creation in multithreading is done according to economical.
Difference between Multiprocessing and Multithreading:
S.NO | Multiprocessing | Multithreading |
---|---|---|
1. | In Multiprocessing, CPUs are added for increasing computing power. | 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. | While Multithreading is not classified in any categories. |
4. | In Multiprocessing, Process creation is a time-consuming process. | While in Multithreading, process creation is according to economical. |
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tldr;
The Python threading module uses threads instead of processes. Threads uniquely run in the same unique memory heap. Whereas Processes run in separate memory heaps. This makes sharing information harder with processes and object instances. One problem arises because threads use the same memory heap, multiple threads can write to the same location in the memory heap which is why the global interpreter lock(GIL) in CPython was created as a mutex to prevent it from happening.
What’s Multithreading?
The multithreading library is lightweight, shares memory, responsible for responsive UI and is used well for I/O bound applications. However, the module isn’t killable and is subject to the GIL
Threading library in Python
Multiple threads live in the same process in the same space, each thread will do a specific task, have its own code, own stack memory, instruction pointer, and share heap memory. If a thread has a memory leak it can damage the other threads and parent process.
Threading library in Python
Multiple threads live in the same process in the same space, each thread will do a specific task, have its own code, own stack memory, instruction pointer, and share heap memory. If a thread has a memory leak it can damage the other threads and parent process.
What’s multiprocessing?
The multiprocessing library uses separate memory space, multiple CPU cores, bypasses GIL limitations in CPython, child processes are killable(ex. function calls in program) and is much easier to use. Some caveats of the module are a larger memory footprint and IPC’s a little more complicated with more overhead.
Checkout Multiprocessing library in the Python docs
Checkout Multiprocessing library in the Python docs
An exercise, execute these programs and measure the delta between threads, between process & threading, relative to never using either libraries.
This is my first technical blog post, let me know if you found it interesting to read.
Original post here: https://medium.com/@nbosco/multithreading-vs-multiprocessing-in-python-c7dc88b50b5b