Multiple process or threads? And, why? (programming.dev)

submitted 1 month ago by anzo@programming.dev to c/python@programming.dev

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(For context, I'm basically referring to Python 3.12 "multiprocessing.Pool Vs. concurrent.futures.ThreadPoolExecutor"...)

Today I read that multiple cores (parallelism) help in CPU bound operations. Meanwhile, multiple threads (concurrency) is due when the tasks are I/O bound.

Is this correct? Anyone cares to elaborate for me?

At least from a theorethical standpoint. Of course, many real work has a mix of both, and I'd better start with profiling where the bottlenecks really are.

If serves of anything having a concrete "algorithm". Let's say, I have a function that applies a map-reduce strategy reading data chunks from a file on disk, and I'm computing some averages from these data, and saving to a new file.

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[-] onlinepersona@programming.dev 2 points 1 month ago

Does it also support writing compiling or exporting to python modules?

Anti Commercial-AI license

[-] milicent_bystandr@lemm.ee 2 points 1 month ago

I don't think so, there was some discussion about why writing Julia as a python transpiler wouldn't work as well. But it does supposedly have very good interoperability, both ways - calling Julia functions from Python or vice versa.