multithreading - How to get speed by multiprocessing in Python (linux), insteed of losing -

i search way use cores. try, decrease spreed.

i tried following:

from joblib import parallel, delayed import multiprocessing time import time import numpy np  inputs = range(1000)  def processinput(i):     return * 

using multiprocessing

num_cores = multiprocessing.cpu_count()  start=time() results = parallel(n_jobs=num_cores)(delayed(processinput)(i) in inputs) print 'multiproc time ', time()-start 

without multiprocessing

start=time()  results =[] in inputs:     results.append(processinput(i))  print 'simple time ', time()-start 

and output:

multiproc time 0.14687204361 simple time 0.000839948654175 

this classic problem multi-threading / multi-processing. whenever want process in parallel, should make sure time saving because of parallelism greater time takes manage parallel processes.

try increasing input size. see impact of parallelism.