python多线程与多进程-优快云博客

本文通过一个CPU密集型任务的小例子，对比了Python中多进程与多线程的执行效率。实验结果显示，在CPU密集型操作中，多进程能更充分地利用多核处理器资源，而多线程则在IO密集型任务中表现更佳。

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 1 from multiprocessing import Pool
 2 from multiprocessing.dummy import Pool as ThreadPool
 3 import time
 4 
 5 
 6 def func(i):
 7     d = 0
 8     for a in range(i):
 9         for b in range(i*i):
10             for c in range(i*i):
11                 for e in range(i*i):
12                     d += a * b * c
13     return d
14 
15 
16 if __name__ == '__main__':
17     start = time.time()
18     # pool = Pool(processes=4)
19     pool = ThreadPool(processes=1)
20     iteration = [x for x in range(15)]
21     results = pool.map(func, iteration)
22     end = time.time()
23     print('耗时:', end-start)
24     for result in results:
25         print(result)