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Computing in Science & Engineering
Article . 2007 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2022
Data sources: DBLP
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Why Fortran?

Authors: Viktor K. Decyk; Charles D. Norton; Henry J. Gardner;
Abstract

Among many computer scientists, fortran is an f-word. yet, it's still the most widely used language in scientific computing, especially when high performance is required. why is this so? One explanation often given is the huge amount of scientific legacy code in the world-after all, differential equations remain the same over time and so do their solvers, so there's no reason to rewrite such code. But a great deal of new code is written in Fortran95 as well. One of us recently served on a review panel for granting computer time to high-impact scientific computing applications that effectively use thousands of processors, and every single one of the applications he reviewed was written in Fortran. At last year's conference on computational physics in South Korea (CCP2006), most of the plenary speakers who talked about codes used Fortran. Perhaps scientists prefer Fortran because they're productive when using it.

Country
Australia
Keywords

Computer programming languages, Requirements engineering, Natural sciences computing, Response time (computer systems), FORTRAN (Language), Computer science, Keywords: Computer scientists

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
Green
bronze