On Friday, November 1, 2013 10:35:47 PM UTC-4, smhall05 wrote: > I am using a basic multiprocessing snippet I found: > > > > #----------------------------------------------------- > > from multiprocessing import Pool > > > > def f(x): > > return x*x > > > > if __name__ == '__main__': > > pool = Pool(processes=4) # start 4 worker processes > > result = pool.apply_async(f, [10]) # evaluate "f(10)" asynchronously > > print result.get(timeout=1) > > print pool.map(f, range(10)) # prints "[0, 1, 4,..., 81]" > > #--------------------------------------------------------- > > > > I am using this code to have each process go off and solve the same problem, > just with different inputs to the problem. I need to be able to kill all > processes once 1 of n processes has come up with the solution. There will > only be one answer. > > > > I have tried: > > > > sys.exit(0) #this causes the program to hang > > pool.close() > > pool.terminate > > > > These still allow further processing before the program terminates. What else > can I try? I am not able to share the exact code at this time. I can provide > more detail if I am unclear. Thank you
You could take a look at the Mutiprocessing module capabilities for exchanging objects between processes: http://docs.python.org/3.3/library/multiprocessing.html#exchanging-objects-between-processes -- https://mail.python.org/mailman/listinfo/python-list