What are common performance issues with multiprocessing in Python?
An example of an AI chatbot conversation about performance issues with multiprocessing in Python.
What are common performance issues with multiprocessing in Python?
Common issues include overhead from process creation, inter-process communication delays, and memory usage.
How can I reduce the overhead when using multiprocessing?
You can reduce overhead by using a process pool, minimizing the number of processes, and optimizing task granularity.
What about inter-process communication? Any tips?
Use shared memory or message queues to minimize communication delays between processes.
Are there any libraries that can help with this?
Yes, libraries like multiprocessing, concurrent.futures, and joblib can help manage multiprocessing more efficiently.
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