我不时地读到Fortran在繁重的计算中比C更快。这是真的吗?我必须承认我几乎不懂Fortran,但是到目前为止我看到的Fortran代码并没有显示出该语言具有C语言所不具备的特性。

如果是真的,请告诉我原因。请不要告诉我什么语言或库适合处理数字,我不打算写一个应用程序或库来做这个,我只是好奇。


当前回答

有趣的是,这里的很多答案都来自于不懂语言。这对于那些打开过旧的FORTRAN 77代码并讨论过其弱点的C/ c++程序员来说尤其如此。

我认为速度问题主要是C/ c++和Fortran之间的问题。在大型代码中,它总是取决于程序员。有一些语言特性是Fortran优于的,而一些特性是C优于的。所以,在2011年,没有人能真正说出哪一个更快。

About the language itself, Fortran nowadays supports Full OOP features and it is fully backward compatible. I have used the Fortran 2003 thoroughly and I would say it was just delightful to use it. In some aspects, Fortran 2003 is still behind C++ but let's look at the usage. Fortran is mostly used for Numerical Computation, and nobody uses fancy C++ OOP features because of speed reasons. In high performance computing, C++ has almost no place to go(have a look at the MPI standard and you'll see that C++ has been deprecated!).

现在,您可以简单地使用Fortran和C/ c++进行混合语言编程。Fortran中甚至有GTK+的接口。有免费的编译器(gfortran, g95)和许多优秀的商业编译器。

其他回答

我还没有听说过Fortan比C快得多,但是可以想象在某些情况下它会更快。关键不在于语言特征的存在,而在于那些(通常)不存在的特征。

一个例子是C指针。C指针几乎到处都在使用,但指针的问题是编译器通常无法判断它们是否指向同一个数组的不同部分。

例如,如果你写了一个strcpy例程,看起来像这样:

strcpy(char *d, const char* s)
{
  while(*d++ = *s++);
}

编译器必须在d和s可能是重叠数组的假设下工作。所以当数组重叠时,它不能执行会产生不同结果的优化。正如您所期望的,这在很大程度上限制了可以执行的优化类型。

[我应该注意到,C99有一个“restrict”关键字,显式地告诉编译器指针不重叠。还要注意,Fortran也有指针,语义不同于C语言,但指针不像C语言那样无处不在。

但是回到C与Fortran的问题上,可以想象,Fortran编译器能够执行一些对于(直接编写的)C程序可能无法实现的优化。所以我不会对这种说法感到太惊讶。不过,我确实希望性能差异不会太大。(~ 5 - 10%)

Fortran和C之间的速度差异更多的是编译器优化和特定编译器使用的底层数学库的函数。Fortran没有什么固有的特性可以使它比C更快。

不管怎样,一个优秀的程序员可以用任何语言编写Fortran。

Fortran速度更快有几个原因。然而,它们的重要性是如此无关紧要,或者可以通过任何方式解决,所以它不应该是重要的。现在使用Fortran的主要原因是维护或扩展遗留应用程序。

PURE and ELEMENTAL keywords on functions. These are functions that have no side effects. This allows optimizations in certain cases where the compiler knows the same function will be called with the same values. Note: GCC implements "pure" as an extension to the language. Other compilers may as well. Inter-module analysis can also perform this optimization but it is difficult. standard set of functions that deal with arrays, not individual elements. Stuff like sin(), log(), sqrt() take arrays instead of scalars. This makes it easier to optimize the routine. Auto-vectorization gives the same benefits in most cases if these functions are inline or builtins Builtin complex type. In theory this could allow the compiler to reorder or eliminate certain instructions in certain cases, but likely you'd see the same benefit with the struct { double re; double im; }; idiom used in C. It makes for faster development though as operators work on complex types in Fortran.

Fortran有更好的I/O例程,例如隐含的do工具提供了C标准库无法比拟的灵活性。

Fortran编译器直接处理更复杂的 涉及到语法,而且这样的语法不能轻易简化 参数传递形式,C不能有效地实现它。

Fortran traditionally doesn't set options such as -fp:strict (which ifort requires to enable some of the features in USE IEEE_arithmetic, a part of f2003 standard). Intel C++ also doesn't set -fp:strict as a default, but that is required for ERRNO handling, for example, and other C++ compilers don't make it convenient to turn off ERRNO or gain optimizations such as simd reduction. gcc and g++ have required me to set up Makefile to avoid using the dangerous combination -O3 -ffast-math -fopenmp -march=native. Other than these issues, this question about relative performance gets more nit-picky and dependent on local rules about choice of compilers and options.