在c++中使用内联函数的优点/缺点是什么?我看到它只提高了编译器输出的代码的性能,但随着今天优化的编译器,快速的cpu,巨大的内存等(不像在1980年<内存是稀缺的,所有东西都必须适合100KB内存),他们今天真正有什么优势?


当前回答

Generally speaking, these days with any modern compiler worrying about inlining anything is pretty much a waste of time. The compiler should actually optimize all of these considerations for you through its own analysis of the code and your specification of the optimization flags passed to the compiler. If you care about speed, tell the compiler to optimize for speed. If you care about space, tell the compiler to optimize for space. As another answer alluded to, a decent compiler will even inline automatically if it really makes sense.

另外,正如其他人所说,使用内联并不能保证任何东西都是内联的。如果你想要保证它,你必须定义一个宏而不是一个内联函数来实现它。

何时内联和/或定义宏强制包含?-只有当你对关键代码段的速度有了证明和必要的提高,并且知道这对应用程序的整体性能有影响时。

其他回答

内联是对编译器的一个建议,它可以随意忽略。它非常适合小段代码。

如果你的函数是内联的,它基本上是插入到函数调用的代码中,而不是实际调用一个单独的函数。这有助于提高速度,因为你不必实际打电话。

它还帮助cpu进行流水线操作,因为它们不必用调用引起的新指令重新加载流水线。

唯一的缺点是可能会增加二进制大小,但只要函数很小,这就不会太大。

现在我倾向于把这类决定留给编译器(好吧,至少是聪明的编译器)。编写它们的人往往对底层架构有更详细的了解。

这并不完全是关于性能。c++和C都用于嵌入式编程,位于硬件之上。例如,如果您要编写中断处理程序,则需要确保代码可以立即执行,而不会交换额外的寄存器和/或内存页。这就是内联派上用场的时候。好的编译器在需要速度时自己做一些“内联”,但“内联”迫使它们这样做。

内联允许您在头文件中放置函数定义,并在多个源文件中#包含该头文件,而不违反一个定义规则。

内联函数是编译器使用的优化技术。可以简单地在函数原型前加上inline关键字来使函数内联。内联函数指示编译器在代码中使用函数的任何地方插入完整的函数体。

优点:-

It does not require function calling overhead. It also save overhead of variables push/pop on the stack, while function calling. It also save overhead of return call from a function. It increases locality of reference by utilizing instruction cache. After in-lining compiler can also apply intra-procedural optimization if specified. This is the most important one, in this way compiler can now focus on dead code elimination, can give more stress on branch prediction, induction variable elimination etc..

要了解更多信息,可以点击这个链接 http://tajendrasengar.blogspot.com/2010/03/what-is-inline-function-in-cc.html

Why not make all functions inline by default? Because it's an engineering trade off. There are at least two types of "optimization": speeding up the program and reducing the size (memory footprint) of the program. Inlining generally speeds things up. It gets rid of the function call overhead, avoiding pushing then pulling parameters from the stack. However, it also makes the memory footprint of the program bigger, because every function call must now be replaced with the full code of the function. To make things even more complicated, remember that the CPU stores frequently used chunks of memory in a cache on the CPU for ultra-rapid access. If you make the program's memory image big enough, your program won't be able to use the cache efficiently, and in the worst case inlining could actually slow your program down. To some extent the compiler can calculate what the trade offs are, and may be able to make better decisions than you can, just looking at the source code.