【发布时间】:2015-03-03 21:26:25
【问题描述】:
from multiprocessing.dummy import Pool as ThreadPool
import time
def f(x):
val=x
for i in xrange(100000):
if i!=0:
val*=i
val%=10000
return x
start = time.time()
iter=10000
pool=ThreadPool(8)
res=pool.map(f,xrange(100))
pool.close()
pool.join()
pool=ThreadPool(8)
res2=pool.map(f,xrange(100))
pool.close()
pool.join()
print "Elapsed Time: %s" % (time.time() - start)
以上是多线程代码,在我的8核电脑上运行需要14s
from multiprocessing.dummy import Pool as ThreadPool
import time
def f(x):
val=x
for i in xrange(100000):
if i!=0:
val*=i
val%=10000
return x
start = time.time()
iter=10000
for i in xrange(100):
f(i)
for i in xrange(100):
f(i)
print "Elapsed Time: %s" % (time.time() - start)
以上为单线程代码,耗时7s 谁能给我解释一下? 谢谢
【问题讨论】:
标签: python multithreading