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Multiprocessing: a separate process has its own context

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Published: 22 Oct 2026 16:11 · Updated: 22 Oct 2026 16:11

AI source check: 22 Oct 2026 14:04. This is not editorial approval.

In a few sentences

In brief

multiprocessing runs work in separate processes. It can use multiple CPU cores, but transferring data between processes has its own cost.

Useful to know

multiprocessing runs work in separate processes. It can use multiple CPU cores, but transferring data between processes has its own cost. [1]

Pay attention to the main-module guard and selected start method. A global variable is not automatically shared memory. Shared data needs an explicit mechanism, and transferring a small task may cost more than performing its calculation.

Sources

For further detail and to check the information:

  1. [1] multiprocessing — Process-based parallelism — Python 3.12.15 documentation ↗