Centre Blaise Pascal » Bench4GPU

#!/usr/bin/env python

# If numpy is loaded without being used, it does not work !

from math import exp

from random import random

# Multithread library call

from multiprocessing import Pool

def MainLoop(iterations):

    total=0

    for i in xrange(iterations):

        # Random access coordonate

        x,y=random(),random()

        if ((x*x+y*y) < 1.0):

                total+=1

    return(total)

if __name__=='__main__':

   # Machine

   CORES=4

   # Au dessus de 4 10^7, le MPI ne veut plus se lancer...

   Iterations=1000000000

   total=0

   # Define iterations to send to each node

   if Iterations%CORES==0:

	   iterations=Iterations/CORES

   else:

	   iterations=Iterations/CORES+1

   print "%i iterations will be send to each core" % iterations

   IT=[]

   for i in range(0,CORES):

	   IT.append(iterations)

   print IT

   # Define the number of processes to be launched at a time

   # POOL: resources to be used ( 

   #pool=Pool(processes=CORES)

   pool=Pool(CORES)

   print "Start on %i processors..." % CORES

   # MAP: distribution of usecases T to be applied to MetropolisStrip 

   Results=[ pool.apply_async(MainLoop,(i,)) for i in IT]

   results=[r.get() for r in Results]

   print results,sum(results)