import time
from multiprocessing import Pool
# can also work with ThreadPool, by importing 
# from multiprocessing.dummy import Pool


def f1(a,b):
	print("run f1(%s,%s)" % (a,b))
	time.sleep(2)
	print("end f1")
	return a*b

def f2(a,b):
	print("run f2(%s,%s)" % (a,b))
	time.sleep(3)
	print("end f2")
	return a+b


if __name__ == '__main__':  
	p = Pool(10)
	res_f1 = p.apply_async(f1, args=(5,4))
	res_f2 = p.apply_async(f2, args=(5,4))

	p.close()
	p.join()

	print(res_f1.get(), res_f2.get())