multiprocessing: child process race to answer

[MRAB]

On 02/11/2013 02:35, 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
>
Did you actually mean "pool.terminate", or is that a typo for
"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
>