SIMPLY FORTRAN FORUM CODE

On most of the benchmarks, Fortran and C++ are the fastest. But is it the fastest? The website allows for a comparison of several benchmarks between C and Fortran. It is often said that the reason Fortran is still used is that it is fast. Fortran has through many revisions, the most well known are the 66, 77, 90, 95, 03, and 08 standards. FORTRAN was often programed with punch cards, as is not-so-fondly recalled by Prof. Early Fortran (designated in allcaps as FORTRAN)В was, by modern standards hellish, but it was incredible leap forward from previous programming, which was done in assembly. The original specification for Fortran was written in 1954.

SIMPLY FORTRAN FORUM CODE

Computer scientists should (and do) considerВ the continued dominance ofВ Fortran in numerical computing as a challenge.Д«efore digging in I feel obligated to discuss a bit of history, since when many hear вЂњFortranвЂќ they immediately think of punch cards and code with line numbers. What I would like to explain is why Fortran is still used, and show that it is not merely because physicists are вЂbehind the timeвЂ™ (although this is sometimes trueВ вЂ“ about a year ago I saw aВ physics student working on aВ Fortran 77 code, and both the student and adviser were unaware ofВ Fortran 90). I am not advocating that physics majors learn Fortran - since most physics majors will end up in research, their time may be better invested in learning C++ (or just sticking with Matlab/Octave/Python). What I would like to do in this article is explain why Fortran is still a useful language. The heavy use of Fortran by physicists often confounds computer scientists and other outsiders who tend to view Fortran as a historical anachronism. Coarrays started as an extension of Fortran 95 and were incorporated into Fortran 2008 standard. Modern Fortran also has a feature called вЂ coarraysвЂ whichВ putsВ parallelization features directly into the language. So basically, if you want fast code that an run on many processors, you are limited to these two options. The popular Open MPI librariesВ for parallelizing code were developed for these two languages. In the field of high performance computing (HPC), of which large scaleВ numerical simulation is a subset, there are only two languages in use today - C++ and вЂњmodern FortranвЂќ (Fortran 90/95/03/08). SIESTA), large scale climate models, etc. Flash), large scale molecular dynamics, electronic structure calculation codes (cf. for things like theВ astrophysical modeling of stars and galaxies, hydrodynamics codes (cf. However, Fortran is still a dominant language for the large scale simulation of physical systems,В ie. вЂњI donвЂ™t know what the programming language of the year 2000 will look like, but I know it will be called FORTRAN.вЂќ вЂ“ Charles Anthony Richard Hoare, circa 1982ДЇortran is rarely used today in industry - one ranking ranks it behind 29 other languages.

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