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

是的,在1980年;在2008年?取决于

当我开始专业编程时,Fortran的速度优势正受到挑战。我记得我在Dr. Dobbs上读到过这篇文章,并把这篇文章告诉了年长的程序员——他们都笑了。

所以我对此有两种观点,理论上的和实际的。从理论上讲,今天的Fortran与C/ c++甚至任何允许汇编代码的语言相比,并没有内在的优势。在实践中,今天的Fortran仍然享有围绕优化数值代码而建立的历史和文化遗产的好处。

Up until and including Fortran 77, language design considerations had optimization as a main focus. Due to the state of compiler theory and technology, this often meant restricting features and capability in order to give the compiler the best shot at optimizing the code. A good analogy is to think of Fortran 77 as a professional race car that sacrifices features for speed. These days compilers have gotten better across all languages and features for programmer productivity are more valued. However, there are still places where the people are mainly concerned with speed in scientific computing; these people most likely have inherited code, training and culture from people who themselves were Fortran programmers.

当人们开始谈论代码优化时,会有很多问题,了解这一点的最好方法是潜伏在那些工作是快速编写数字代码的人身上。但是请记住,这种高度敏感的代码通常只占整个代码行的一小部分,而且非常专门:许多Fortran代码就像其他语言中的许多其他代码一样“低效”,优化甚至不应该是此类代码的主要关注点。

要开始了解Fortran的历史和文化,维基百科是一个很好的地方。Fortran维基百科的条目是一流的,我非常感谢那些花时间和精力使它对Fortran社区有价值的人。

(这个答案的缩短版本本可以在Nils开始的优秀帖子中发表评论,但我没有这样做的业力。实际上,如果不是因为这个帖子有实际的信息内容和分享,而不是激烈的争吵和语言偏见,我可能根本不会写任何东西,这是我对这个主题的主要经验。我不知所措,不得不分享这份爱。)

其他回答

There is another item where Fortran is different than C - and potentially faster. Fortran has better optimization rules than C. In Fortran, the evaluation order of an expressions is not defined, which allows the compiler to optimize it - if one wants to force a certain order, one has to use parentheses. In C the order is much stricter, but with "-fast" options, they are more relaxed and "(...)" are also ignored. I think Fortran has a way which lies nicely in the middle. (Well, IEEE makes the live more difficult as certain evaluation-order changes require that no overflows occur, which either has to be ignored or hampers the evaluation).

另一个更聪明的规则领域是复数。这不仅是因为直到c99才有了它们,而且Fortran中管理它们的规则更好;由于gfortran的Fortran库部分是用C编写的,但实现了Fortran语义,GCC获得了这个选项(也可以用于“普通”C程序):

-fcx-fortran-rules 复杂的乘法和除法遵循Fortran规则。范围缩减是作为复杂除法的一部分进行的,但是没有检查复杂乘法或除法的结果是否是“NaN + I*NaN”,试图在这种情况下挽救这种情况。

The alias rules mentioned above is another bonus and also - at least in principle - the whole-array operations, which if taken properly into account by the optimizer of the compiler, can lead faster code. On the contra side are that certain operation take more time, e.g. if one does an assignment to an allocatable array, there are lots of checks necessary (reallocate? [Fortran 2003 feature], has the array strides, etc.), which make the simple operation more complex behind the scenes - and thus slower, but makes the language more powerful. On the other hand, the array operations with flexible bounds and strides makes it easier to write code - and the compiler is usually better optimizing code than a user.

总的来说,我认为C和Fortran的速度差不多;选择应该更多的是你更喜欢哪种语言,或者是使用Fortran的全数组操作及其更好的可移植性更有用,还是使用C中更好的系统接口和图形用户界面库。

Fortran可以非常方便地处理数组,特别是多维数组。在Fortran中对多维数组元素进行切片比在C/ c++中容易得多。c++现在有库可以做这项工作,比如Boost或Eigen,但它们毕竟是外部库。在Fortran中,这些函数是固有的。

对于开发来说,Fortran是更快还是更方便主要取决于您需要完成的工作。作为地球物理的科学计算人员,我用Fortran(我指的是现代Fortran, >=F90)进行了大部分计算。

我是一个业余程序员,在这两种语言上我都是“平均”。 我发现编写快速Fortran代码比编写C(或c++)代码更容易。Fortran和C都是“历史悠久”的语言(按照今天的标准),被大量使用,并且很好地支持免费和商业编译器。

我不知道这是否是一个历史事实,但Fortran感觉它是为并行/分布式/向量化/多核化而构建的。今天,当我们谈论速度时,它几乎是“标准度量”:“它能缩放吗?”

对于纯粹的cpu计算,我喜欢Fortran。对于任何与IO相关的东西,我发现使用c更容易(无论如何这两种情况都很困难)。

当然,对于并行计算密集型代码,你可能需要使用GPU。C和Fortran都有很多或多或少很好地集成了CUDA/OpenCL接口(现在还有OpenACC)。

我比较客观的回答是:如果你对这两种语言都同样了解或不了解,那么我认为Fortran更快,因为我发现用Fortran写并行/分布式代码比用c更容易(一旦你明白你可以写“自由形式”Fortran,而不仅仅是严格的F77代码)

Here is a 2nd answer for those willing to downvote me because they don't like the 1st answer : Both language have the features required to write high-performance code. So it's dependent of the algorithm you're implementing (cpu intensive ? io intensive ? memory intensive?), the hardware (single cpu ? multi-core ? distribute supercomputer ? GPGPU ? FPGA ?), your skill and ultimately the compiler itself. Both C and Fortran have awesome compiler. (i'm seriously amazed by how advanced Fortran compilers are but so are C compilers).

PS:我很高兴你特别排除了库,因为我有很多关于Fortran GUI库的不好的东西要说。:)

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。

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.