“GIL” can impact performance in multithreaded applications from "summary" of Fluent Python by Luciano Ramalho
The Global Interpreter Lock (GIL) in Python is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecodes simultaneously. As a result, only one thread can execute Python bytecodes at a time, even on multi-core systems. This limitation can impact the performance of multithreaded applications, as threads are unable to take full advantage of multiple cores due to the GIL. The GIL is necessary because CPython, the reference implementation of Python, is not thread-safe at the C level. Without the GIL, multiple threads could access and modify Python objects concurrently, leading to data corruption and crashes. By enforcing the GIL, CPython ensures that only one thread executes Python bytecodes at a time, maintaining the integrity of Python objects. While the GIL simplifies the implementation of CPython, it can be a bottleneck for multithreaded applications that perform CPU-bound tasks. Since only one thread can execute Python bytecodes at a time, the GIL effectively serializes the execution ...
Similar Posts
Master the use of variables and data types
To become proficient in C and C++, it is essential to have a strong understanding of variables and data types. Variables are us...
Strings are immutable sequences of Unicode code points
In Python, strings are immutable sequences of Unicode code points. Being immutable means that once a string object is created, ...