from multiprocessing import Pool
from itertools import product
def sym(lst):
x,y=lst
tmp=x*y
if rec(tmp):
return tmp
else:
return None
def rec(num):
num=str(num)
if num == "".join(reversed(num)): return True
else: return False
if __name__ == "__main__":
pool=Pool(processes=8)
lst=product(xrange(100,1000),repeat=2)
rst=pool.map(sym,lst)
#rst=sym(lst)
print max(rst)
in my old computer(2006),
when run it on single process, it takes 2 seconds
but using multiprocessing.pool, it takes almost 8 or 9 seconds
is it possible?
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