blocks|key|940670|text|这工作得很好，并且支持多核。http://www.cpukiller.com/|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|940671|entityMap|0|LINK|mutability|MUTABLE|url|http://www.cpukiller.com/^0|E|P|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

This works well and supports multicore. <a href="http://www.cpukiller.com/" rel="nofollow noreferrer">http://www.cpukiller.com/</a>

blocks|key|1066158|text|这是一个常见的误解，你需要知道你的代码有多快，才能知道你的性能问题在哪里。这混淆了问题发现和问题度量。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1066159|This+is+the+method+I+use.|offset|length|1066160|如果程序中有一些浪费的逻辑，那么无论哪个CPU运行它，它都是浪费的。|1066161|你需要知道的是它在哪里。对于测量，您不需要知道它有多大；您只需要知道它足够大，需要进行修复。|1066162|通常会有许多问题，大小不一。您可能会首先找到最大的那些，但无论您按什么顺序修复它们，您修复的每一个都会更容易找到剩余的那些，因为它们将占据更大的百分比。|1066163|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/375913/what-can-i-use-to-profile-c-code-in-linux/378024#378024^0|0|0|P|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|10|8|@]|9|@]|A|$]]|$1|L|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|S]]]]

It's a common misconception that you need to know how fast your code is to know where your performance problems are. That confuses problem-finding with problem-measurement.

<a href="https://stackoverflow.com/questions/375913/what-can-i-use-to-profile-c-code-in-linux/378024#378024">This is the method I use.</a>

If there is some wasteful logic in the program, it will be wasteful no matter what CPU runs it.

What you need to know is where it is. For measurement, you don't need to know how big it is; you only need to know that it is big enough to need to be fixed.

Usually there are a number of problems, of different sizes. You will probably find the biggest ones first, but no matter what order you fix them in, each one you fix will make it easier to find the remaining ones, because they will take a larger percentage.

blocks|key|3256395|text|我恐怕除了开始在你的地区寻找旧硬件之外，我不知道其他的答案。CPU并不是(通常)影响事物的唯一变量。在许多应用中，L1/L2缓存大小、内存总线速度、内存速度/延迟、硬盘速度等都是重要因素。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3256396|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I'm afraid I don't know any answer other than to start looking around in your area for old hardware. The CPU isn't the only variable that can (usually) affect things. L1/L2 cache size, memory bus speed, memory speed/latency, hard drive speed, etc. are all significant factors in many applications.

blocks|key|4723934|text|最近在Downloadsquad.com上有一款应用。我不记得它的名字了，但是它在处理器和任务管理器上做了一些有趣的事情。它可能只是为了管理在哪个cpu上有哪些应用程序，但它可能会给你提供这个。今天下午我会试着去找它，如果我找到了就给我回复。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4723935|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

There was an app on Downloadsquad.com recently. I dont remember the name of it but it did some fun stiff woth processors and task manager. It may have only been to manage what apps are on what cpu but maybe it would give you this. I will try to look for it this afternoon, and respond back if I find it.

blocks|key|4723979|text|许多分析器(例如oprofile+-但仅限于linux+)允许您设置它们收集数据的频率。查看您的分析器是否支持此功能，如果不支持，请尝试其他支持此功能的分析器。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4723980|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Many profilers (for example oprofile - but thats linux only) let you set the frequency that they collect data. See if your profiler supports this, and if not try a different one that does.

blocks|key|1066188|text|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1066189|我曾考虑过使用虚拟机，但还没有找到具有这种功能的虚拟机。|blockquote|1066190|1066191|1066192|为什么需要一个明确提供该功能的VM？只需限制主机操作系统中虚拟机的CPU使用率(这只是一个常规进程)。这应该会有完全相同的效果。|1066193|你可以这样做，例如在Linux上使用cpulimit；对于微软视窗也有类似的解决方案。|offset|length|1066194|entityMap|0|LINK|mutability|MUTABLE|url|http://cpulimit.sourceforge.net/^0|0|0|0|0|0|I|8|0|0^^$0|@$1|2|3|-4|4|5|6|T|7|@]|8|@]|9|$]]|$1|A|3|B|4|C|6|U|7|@]|8|@]|9|$]]|$1|D|3|-4|4|5|6|V|7|@]|8|@]|9|$]]|$1|E|3|-4|4|5|6|W|7|@]|8|@]|9|$]]|$1|F|3|G|4|5|6|X|7|@]|8|@]|9|$]]|$1|H|3|I|4|5|6|Y|7|@]|8|@$J|Z|K|10|1|11]]|9|$]]|$1|L|3|-4|4|5|6|12|7|@]|8|@]|9|$]]]|M|$N|$4|O|P|Q|9|$R|S]]]]

<blockquote>
 I've thought about using a virtual
 machine, but haven't found any with
 such functionality.
</blockquote>

Why do you need a VM that explicitly offers that functionality? Just limit the CPU usage of the VM in the host OS (where it is just a regular process). That should have exactly the same effect.

You can do this e.g. using <a href="http://cpulimit.sourceforge.net/" rel="nofollow">cpulimit</a> on Linux; similar solutions exist for MS Windows.

I'm trying to optimize several bottlenecks on an application which is supposed to run on a really wide range of CPUs and architectures (some of them very close to embeded devices).

The results of my profiler, however, aren't really significant because of the speed of my CPU. Is there any way (preferably under Windows or Mac OS X) to limit the speed of my CPU for profiling purposes?

I've thought about using a virtual machine, but haven't found any with such functionality.

Limiting CPU speed for profiling

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我正在尝试优化一个应用程序上的几个瓶颈，该应用程序应该在非常广泛的CPU和架构上运行(其中一些非常接近嵌入式设备)。然而，由于我的CPU速度的原因，我的分析器的结果并不是很重要。有没有办法(最好是在Windows或Mac下)限制CPU的速度以进行性能分析？我考虑过使用虚拟机，但还没有找到具有这样功能的虚拟机。

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