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Towards Differentiation-Enabled Fortran 95 Compiler Technology-
Part of a collection
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Author(s)
Malcolm Cohen
, Uwe Naumann
, Jan Riehme
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Published in Proceedings of the 18th ACM Symposium on Applied Computing, Melbourne, Florida, USA, March 9--12, 2003
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Year 2003 |
Abstract We present a novel approach to generating derivative code for mathematical models implemented as Fortran 95 programs using Automatic Differentiation inside a compiler. This technique allows us to combine the advantages of both operator overloading and source transformation based tools for Automatic Differentiation. Furthermore, the compiler's infrastructure for syntactic, semantic, and static data flow analysis can be built on. |
AD Tools NAGWare Fortran 95 |
BibTeX
@INPROCEEDINGS{
Cohen2003TDE,
abstract = "We present a novel approach to generating derivative code for mathematical models
implemented as Fortran 95 programs using Automatic Differentiation inside a compiler. This technique
allows us to combine the advantages of both operator overloading and source transformation based
tools for Automatic Differentiation. Furthermore, the compiler's infrastructure for syntactic,
semantic, and static data flow analysis can be built on.",
ad_tools = "NAGWare Fortran 95",
author = "Malcolm Cohen and Uwe Naumann and Jan Riehme",
title = "Towards Differentiation-Enabled {F}ortran~95 Compiler Technology",
booktitle = "Proceedings of the 18th ACM Symposium on Applied Computing, Melbourne, Florida,
USA, March~9--12, 2003",
pages = "143--147",
year = "2003"
}
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