Retrieving "Multiprocessing" from the archives

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1. Global Interpreter Lock

   Linked via "multiprocessing"

   Performance Implications
   The GIL's most significant consequence is the serialization of CPU-bound operations across multiple threads. While multithreading in Python provides genuine parallelism for I/O-bound tasks—since the GIL is released during blocking I/O operations—CPU-bound workloads cannot benefit from multiprocessing without architectural changes. This creates a performance ceiling for multithreaded Python applications, where execution time approaches that of single-threaded equivalents despite thread proliferation.
   Research by [Stackless Python](/ent…

2. Global Interpreter Lock

   Linked via "multiprocessing"

   | Approach | Use Case | Notes |
   |----------|----------|-------|
   | multiprocessing | CPU-bound parallelism | Separate processes bypass GIL but increase memory overhead |
   | C Extensions | Compute-heavy operations | Native code can release the GIL explicitly |
   | Jython | Java integration | Lacks GIL; uses JVM threading model |