How do I choose the right parallelism technique for my project?
Choosing the right parallelism technique depends on your project's requirements, such as data size, task complexity, and available resources. Are you working with a specific programming language or framework?
I'm using Python for data processing.
For Python, you might consider using multiprocessing for CPU-bound tasks or threading for I/O-bound tasks. Have you evaluated the performance needs of your application?
Yes, it's mostly CPU-bound with large datasets.
In that case, multiprocessing would be a great choice. It allows you to leverage multiple CPU cores effectively. Would you like to see some code examples?
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