On Wed, Oct 18, 2017 at 9:46 AM, Jason <jasonh...@gmail.com> wrote: > #When I change line19 to True to use the multiprocessing stuff it all slows > down. > > from multiprocessing import Process, Manager, Pool, cpu_count > from timeit import default_timer as timer > > def f(a,b): > return dict_words[a]-b
Since the computation is so simple my suspicion is that the run time is dominated by IPC, in other words the cost of sending objects back and forth outweighs the gains you get from parallelization. What happens if you remove dict_words from the Manager and just pass dict_words[a] across instead of just a? Also, I'm not sure why dict_keys is a managed list to begin with since it only appears to be handled by the main process. -- https://mail.python.org/mailman/listinfo/python-list
