如何限制Python使用的处理器数量 [英] How to limit the number of processors that Python uses

问题描述

我有一个内存相当昂贵的Python程序，可以在具有8个CPU(使用Python 3.1 64位)的计算机上运行.问题在于它使用所有8个处理器达到100％的使用率，从而冻结了计算机并使速度变慢.我将如何使Python仅使用7个处理器来释放更多的CPU?我已经在多处理库中尝试了Pool类，但是没有运气.

I have a fairly memory expensive Python program to run on a computer that has 8 CPUs (using Python 3.1 64 bit). The problem is that it uses all 8 processors to 100% usage and thus freezes the machine and makes things slow. How would I make Python use only 7 of the processors to free up more CPU? I have experimented with the Pool class within the multiprocessing library many times, but no luck.

例如，如果我想调用程序的主函数并且仅使用7个处理器，那么看来我要做的只是以下操作，但没有运气:

For instance, if I want to call the main function of my program and have it use only 7 processors, it seems like all I would have to do is the following, but no luck:

来自多处理导入池 池(7，main())

from multiprocessing import Pool Pool(7, main())

有人可以告诉我我要去哪里错吗?谢谢！

Can anybody tell me where I am going wrong? Thanks!

推荐答案

我遇到了同样的问题，我通过向池分配少一个来解决该问题:

I had the same problem, which I fixed by allocating one less to the pool:

pool= multiprocessing.Pool(processes=(multiprocessing.cpu_count() - 1))

通过执行此操作，并让池仅使用CPU-1，可以为PC节省一些额外的电量. 这对Windows机器产生了极大的帮助，因此我仍然可以单击其他应用程序(W7 64位).在Linux上，无论哪种方式，机器都可以.

By doing this and letting your pool only use CPU-1, you can save some extra power for your PC. This helped tremendously on my windows machine so I could still click around into other applications (W7 64 bit). On Linux, the machine was OK either way.

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