blocks|key|870047|text|商业软件：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|870048|870049|Rational+Quantify+(昂贵、缓慢，但非常详细)|unordered-list-item|870050|(更便宜、更慢、更详细)|870051|自由软件：|870052|Very+sleepy+(www.codersnotes.com)|offset|length|870053|Luke+(lukestackwalker.sourceforge.net)|870054|
+|870055|Very+sleepy+StackWalker|870056|870057|这些商业替代方案通过“插装”(添加指令)来更改编译后的代码，并使用添加的指令执行计时。这意味着它们会导致您的应用程序严重减慢。|870058|这些免费的替代方案使用采样，这意味着它们不太详细，但非常快。在实践中，我发现尤其是Very+Sleepy对于快速查看应用程序中的性能问题是非常好的。|870059|entityMap|0|LINK|mutability|MUTABLE|url|http://www.codersnotes.com/|1|http://lukestackwalker.sourceforge.net/^0|0|0|0|0|0|D|J|0|0|6|V|1|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|18|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|19|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|1A|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|1B|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|1C|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|1D|8|@]|9|@$L|1E|M|1F|1|1G]]|A|$]]|$1|N|3|O|5|E|7|1H|8|@]|9|@$L|1I|M|1J|1|1K]]|A|$]]|$1|P|3|Q|5|6|7|1L|8|@]|9|@]|A|$]]|$1|R|3|S|5|E|7|1M|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|1O|8|@]|9|@]|A|$]]|$1|W|3|X|5|6|7|1P|8|@]|9|@]|A|$]]|$1|Y|3|-4|5|6|7|1Q|8|@]|9|@]|A|$]]]|Z|$10|$5|11|12|13|A|$14|15]]|16|$5|11|12|13|A|$14|17]]]]

Commercial software:

<ul>
<li>Rational Quantify (expensive, slow, but very detailed)</li>
<li>AQTime (less expensive, less slow, a bit detailed)</li>
</ul>

Free software:

<ul>
<li>Very sleepy (<a href="http://www.codersnotes.com" rel="nofollow noreferrer">www.codersnotes.com</a>)</li>
<li>Luke StackWalker (<a href="http://lukestackwalker.sourceforge.net/" rel="nofollow noreferrer">lukestackwalker.sourceforge.net</a>)</li>
</ul>

These commercial alternatives change the compiled code by 'instrumenting' (adding instructions) to it and perform the timing withing the added instructions. This means that they cause your application to slow down seriously.

These free alternatives use sampling, meaning they are less detailed, but very fast. In practice I found that especially Very Sleepy is very good to have a quick look at performance problems in your application.

blocks|key|2620056|text|有一个gprof的MinGW端口，它的工作原理与Linux的变体几乎相同。您可以从MinGW+binutils+package获取完整的MinGW+installation+(我认为包含了gprof，但不确定)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2620057|对于Eclipse，有TPTP，但据我所知，它不支持分析C/C%2B%2B。|2620058|entityMap|0|LINK|mutability|MUTABLE|url|http://sourceforge.net/projects/mingw/files/GNU%2520Binutils/|1|http://sourceforge.net/projects/mingw/files/|2|http://www.eclipse.org/tptp/^0|15|M|0|1W|I|1|0|B|4|2|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]|$A|V|B|W|1|X]]|C|$]]|$1|D|3|E|5|6|7|Y|8|@]|9|@$A|Z|B|10|1|11]]|C|$]]|$1|F|3|-4|5|6|7|12|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]|P|$5|I|J|K|C|$L|Q]]]]

There's a MinGW port of gprof that works just about the same as the Linux variant. You can either get a full <a href="http://sourceforge.net/projects/mingw/files/" rel="nofollow noreferrer">MinGW installation</a> (I think gprof is included but not sure) or get gprof from the <a href="http://sourceforge.net/projects/mingw/files/GNU%20Binutils/" rel="nofollow noreferrer">MinGW binutils package</a>.

For Eclipse, there's <a href="http://www.eclipse.org/tptp/" rel="nofollow noreferrer">TPTP</a> but it doesn't support profiling C/C++ as far as I know.

blocks|key|124965|text|可以，您可以分析代码with+Visual+Studio|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|124966|entityMap|0|LINK|mutability|MUTABLE|url|http://msdn.microsoft.com/en-us/magazine/cc337887.aspx^0|A|I|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]]]]

Yes, you can profile code <a href="http://msdn.microsoft.com/en-us/magazine/cc337887.aspx" rel="nofollow noreferrer">with Visual Studio</a>

blocks|key|2620134|text|分析的原因是什么？您是希望a)测量时间并获得调用图，还是b)查找需要更改的内容以使代码更快？(它们是不同的。)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2620135|如果(b)，您可以使用this+trick，使用Eclipse中的暂停按钮。|offset|length|2620136|2620137|补充:也许这将有助于传达一些关于性能问题的实际情况的经验，以及您可以期望在哪里找到它们。这里有一些简单的例子：|2620138|2620139|插入排序(顺序n%5E2)，其中要排序的项是字符串，并通过字符串比较函数进行比较。热点在哪里？在字符串中-比较。问题出在哪里？在调用string-compare的排序中。如果是n=10，这不是问题，但是如果是n=1000，突然需要很长时间。调用string-compare的地方是“冷的”，但这就是问题所在。少量的调用堆栈样本可以确定它的位置。|unordered-list-item|2620140|是一个加载插件的应用，它需要很长时间才能启动。分析器说它里面的所有东西基本上都是“冷的”。一些测量I/O时间的东西表明它几乎是所有的I/O时间，这似乎是您可能期望的，所以它可能看起来没有希望。但是，堆栈样本显示，为了将字符串常量转换为本地语言，在读取插件dll的资源部分的过程中，堆栈花费了大约20层深的时间。进一步研究，您会发现大多数被翻译的字符串并不是真正需要翻译的那类字符串。它们只是被放在“以防”它们可能需要翻译的情况下，并且从来没有被认为是可能导致性能问题的东西。解决这个问题可以节省大量的时间。|2620141|2620142|因此，从“热点”和“瓶颈”的角度来思考是很常见的，但大多数程序，特别是大型程序，往往会出现性能问题，表现为函数调用请求实际上不需要完成的工作。幸运的是，在它们花费的时间内，它们将自己显示在调用堆栈上。|2620143|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/406760/whats-your-most-controversial-programming-opinion/1562802#1562802^0|0|B|A|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|10|8|@]|9|@$D|11|E|12|1|13]]|A|$]]|$1|F|3|-4|5|6|7|14|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|15|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|16|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|17|8|@]|9|@]|A|$]]|$1|M|3|N|5|L|7|18|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|19|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1A|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]]|S|$T|$5|U|V|W|A|$X|Y]]]]

What's the reason for profiling? Do you want to a) measure times and get a call graph, or b) find things to change to make the code faster? (These are not the same.)

If (b) you can use <a href="https://stackoverflow.com/questions/406760/whats-your-most-controversial-programming-opinion/1562802#1562802">this trick</a>, using the Pause button in Eclipse.

<hr>

Added: Maybe it would help to convey some experience of what performance problems are actually like, and where you can expect to find them. Here are some simple examples:

<ul>
<li>An insertion sort (order n^2) where the items being sorted are strings, and are compared by a string-compare function. Where is the hot-spot? in string-compare. Where is the problem? In the sort where string-compare is called. If n=10 it's not a problem, but if n=1000, suddenly it takes a long time. The point where string-compare is called is "cold", but that's where the problem is. A small number of samples of the call stack pinpoint it with certainty.</li>
<li>An app that loads plugins takes a long time to start up. A profiler says basically everything in it is "cold". Something that measures I/O time says it is almost all I/O time, which seems like what you might expect, so it might seem hopeless. But, stack samples show a large percentage of time is spent with the stack about 20 layers deep in the process of reading the resource part of plugin dlls for the purpose of translating string constants into the local language. Investigating further, you find that most of the strings being translated are not the the kind that actually need translation. They were just put in "in case" they might need translation, and were never thought to be something that could cause a performance problem. Fixing that issue brings a hefty time savings.</li>
</ul>

So it is common to think in terms of "hotspots" and "bottlenecks", but most programs, especially the larger ones, tend to have performance problems in the form of function calls requesting work that doesn't really need to be done. Fortunately they display themselves on the call stack during the time that they are spending.

I know I can profile my code with <code>gprof</code> and <code>kprof</code> on Linux. Is there a comparable alternative to these applications on Windows?

Profiling C code on Windows when using Eclipse

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。

文章

问答

视频

教程

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云智能顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云AI代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

功能1上新10个字符

功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符。

功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符。

功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符

功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符

功能4上新

文章&问答评论现已支持表情

全新交互，全新视觉，新增快捷键、悬浮工具栏、高亮块等功能并同时优化现有功能，全面提升创作效率和体验

社区富文本编辑器全新改版！诚邀体验～ 

精选全网热门MCP server，让你的AI更好用 🚀

💥开发者 MCP广场重磅上线！

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

聚焦“写作效率、视觉美观与运行性能”三方面进行全面升级，为您提供更高效、稳定的创作环境

社区富文本&Markdown编辑器全新改版上线，欢迎大家体验!

诚挚邀请您参与本次调研，分享您的真实使用感受与建议。您的反馈至关重要，感谢您的支持与参与！

社区新版编辑器体验调研

我知道我可以在Linux上用gprof和kprof分析我的代码。在Windows上有没有可与这些应用程序相媲美的替代品？

问使用Eclipse时在Windows上分析C代码
EN

回答 4

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问使用Eclipse时在Windows上分析C代码EN

回答 4

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问使用Eclipse时在Windows上分析C代码
EN