Stories from the Web Crawling trenches in multithreading

Why is Python Multithreading Slow and How to Speed It Up

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading in Python seems slower due to the Global Interpreter Lock (GIL). Workarounds include multiprocessing for CPU-bound tasks and multithreading for I/O-bound tasks. External C/C++ libraries and newer Python versions also improve parallelism.

Does asyncio use multiple cores python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module enables concurrency within a single thread, but not parallelism across multiple threads or processes. However, by utilizing multiprocessing or multithreading, we can achieve true parallelism.

Faster Parallel Processing Alternatives to Multithreading in Python

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading in Python allows concurrent execution of multiple threads within a process. However, it has limitations due to the GIL. Alternatives like multiprocessing, Numba, and Cython provide better parallelism and performance.

What is the difference between asyncio and multithreading python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python developers often need to make their programs concurrent to improve performance. The two main options for concurrency in Python are asyncio and multithreading.

Understanding Multithreading Models: Green, Native, and Pool

Author: Mohan Ganesan

Date: Mar 24, 2024

Multithreading enables parallel execution, with green threads managed by runtime, native threads by OS, and thread pools for task execution.

What is the fastest language for multithreading?

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading improves performance. C++, Java, and Go are fastest. Optimize with thread pools, shared state, and reducing blocking.

Why Python's Multithreading Perfoms Poorly (And What To Do About It)

Author: Mohan Ganesan

Date: Mar 24, 2024

Python's multithreading capabilities are limited due to the GIL. Solutions like multiprocessing and asynchronous frameworks exist.

Why is multithreading not faster in python?

Author: Mohan Ganesan

Date: Mar 24, 2024

Python's multithreading capabilities are limited by the Global Interpreter Lock (GIL), but can still provide performance benefits for I/O-bound tasks. Tips include using multiprocessing for CPU-bound tasks and avoiding shared memory between threads.

Multithreading in Python: Choosing the Right Model

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading in Python can improve performance and responsiveness. Choose the right model based on use case and tradeoffs. Options include threading, multiprocessing, and asyncio.

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