Threading pool similar to the multiprocessing Pool?


Is there a Pool class for worker threads, similar to the multiprocessing module's Pool class?

I like for example the easy way to parallelize a map function

def long_running_func(p):

p = multiprocessing.Pool(4)
xs =, range(100))

however I would like to do it without the overhead of creating new processes.

I know about the GIL. However, in my usecase, the function will be an IO-bound C function for which the python wrapper will release the GIL before the actual function call.

Do I have to write my own threading pool?

5/19/2017 2:29:06 PM

Accepted Answer

I just found out that there actually is a thread-based Pool interface in the multiprocessing module, however it is hidden somewhat and not properly documented.

It can be imported via

from multiprocessing.pool import ThreadPool

It is implemented using a dummy Process class wrapping a python thread. This thread-based Process class can be found in multiprocessing.dummy which is mentioned briefly in the docs. This dummy module supposedly provides the whole multiprocessing interface based on threads.

8/2/2010 9:52:28 AM

In Python 3 you can use concurrent.futures.ThreadPoolExecutor, i.e.:

executor = ThreadPoolExecutor(max_workers=10)
a = executor.submit(my_function)

See the docs for more info and examples.

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