Python 多进程应用示例

import multiprocessing
import time

def func(name):
	outputline=name
	for i in range(3):
		outputline+= " repeat "+str(i)
		time.sleep(1)
	return outputline

def main():
	pool=multiprocessing.Pool(processes=4)
	result=[]
	for i in range(4):
		pname="cpu_%d"%i
		result.append(pool.apply_async(func, (pname, )))
	pool.close()
	pool.join()
	for res in result:
		print res.get()
	print "all processes done"

if __name__ == '__main__':
	main()

示例2，使用锁同步

import multiprocessing
import time

def func(name,lock):
	outputline=name
	for i in range(3):
		outputline+= " repeat "+str(i)
		lock.acquire()
		print name+" repeat "+str(i)
		lock.release()
		time.sleep(1)
	return outputline

def main():
	lock=multiprocessing.Lock()
	subprocesses=[]
	for i in range(4):
		pname="cpu_%d"%i
		process=multiprocessing.Process(target=func, args=(pname,lock))
		process.start()
		subprocesses.append(process)

	for p in subprocesses:
		p.join()

	print "all processes done"

if __name__ == '__main__':
	main()

ref：

http://www.coder4.com/archives/3352

http://www.cnblogs.com/vamei/archive/2012/10/12/2721484.html