我测试了两种写入配置:
I have tested two writing configurations:
Fstream 缓冲:
Fstream buffering:
// Initialization
const unsigned int length = 8192;
char buffer[length];
std::ofstream stream;
stream.rdbuf()->pubsetbuf(buffer, length);
stream.open("test.dat", std::ios::binary | std::ios::trunc)
// To write I use :
stream.write(reinterpret_cast<char*>(&x), sizeof(x));
手动缓冲:
Manual buffering:
// Initialization
const unsigned int length = 8192;
char buffer[length];
std::ofstream stream("test.dat", std::ios::binary | std::ios::trunc);
// Then I put manually the data in the buffer
// To write I use :
stream.write(buffer, length);
我期待同样的结果...
I expected the same result...
但是我的手动缓冲将性能提高了 10 倍以写入 100MB 的文件,并且 fstream 缓冲与正常情况相比没有任何改变(没有重新定义缓冲区).
But my manual buffering improve performance by a factor of 10 to write a file of 100MB, and the fstream buffering does not change anything compared to the normal situation (without redefining a buffer).
有人对这种情况有解释吗?
Does someone has an explanation of this situation ?
这是新闻:刚刚在超级计算机上完成的基准测试(Linux 64 位架构,支持英特尔至强 8 核、Lustre 文件系统和...希望配置良好的编译器)(我没有解释 1kB 手动缓冲区共振"的原因......)
EDIT : Here are the news : a benchmark just done on a supercomputer (linux 64-bit architecture, lasts intel Xeon 8-core, Lustre filesystem and ... hopefully well configured compilers) (and I don't explain the reason of the "resonance" for a 1kB manual buffer...)
和 1024 B 的共振(如果有人对此有想法,我很感兴趣):
EDIT 2 : And the resonance at 1024 B (if someone has an idea about that, I'm interested) :
这基本上是由于函数调用开销和间接性造成的.ofstream::write() 方法继承自 ostream.该函数未在 libstdc++ 中内联,这是第一个开销来源.然后 ostream::write() 必须调用 rdbuf()->sputn() 来做实际的写入,这是一个虚函数调用.
This is basically due to function call overhead and indirection. The ofstream::write() method is inherited from ostream. That function is not inlined in libstdc++, which is the first source of overhead. Then ostream::write() has to call rdbuf()->sputn() to do the actual writing, which is a virtual function call.
最重要的是,libstdc++ 将 sputn() 重定向到另一个虚函数 xsputn(),它添加了另一个虚函数调用.
On top of that, libstdc++ redirects sputn() to another virtual function xsputn() which adds another virtual function call.
如果您自己将字符放入缓冲区,则可以避免这种开销.
If you put the characters into the buffer yourself, you can avoid that overhead.
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