How can I improve the performance of my multi-processing application?
To enhance performance, consider optimizing your task distribution and minimizing inter-process communication.
What are some common pitfalls in multi-processing?
Common pitfalls include excessive context switching, poor load balancing, and not utilizing shared memory effectively.
How can I measure the performance of my multi-processing setup?
You can use profiling tools like cProfile or memory_profiler to analyze CPU and memory usage in your application.
Are there specific libraries you recommend for multi-processing in Python?
Yes, the multiprocessing
module is built-in, and libraries like concurrent.futures
and joblib
are also great options.
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