Is there anyway to 'force' python to use all 100%? Is the OS (windows 7, 64bit) limiting Python's access to the processors? While the code snippets below are running, I open the task manager and watch the processor's spike, but never reach and maintain 100%. In addition to that, I can see multiple python.exe processes created and destroyed along the way. How do these processes relate to processors? For example, if I spawn 4 processes, each process isn't using it's own core. Instead, what are the processes using? Are they sharing all cores? And if so, is it the OS that is forcing the processes to share the cores?

import multiprocessing

def worker():
    #worker function
    print ('Worker')
    x = 0
    while x < 1000:
        print(x)
        x += 1
    return

if __name__ == '__main__':
    jobs = []
    for i in range(50):
        p = multiprocessing.Process(target=worker)
        jobs.append(p)
        p.start()

代码片段 2

from multiprocessing import Process, Lock

def f(l, i):
    l.acquire()
    print('worker ', i)
    x = 0
    while x < 1000:
        print(x)
        x += 1
    l.release()

if __name__ == '__main__': 
    lock = Lock()
    for num in range(50):
        Process(target=f, args=(lock, num)).start()

解决方案

要使用 100% 的所有内核，不要创建和销毁新进程.

python p1.py | python p2.py | python p3.py | python p4.py ...