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Applying TAF to generate efficient derivative code of Fortran 77-95 programs
Ist Teil von
Proceedings in applied mathematics and mechanics, 2003-03, Vol.2 (1), p.54-57
Ort / Verlag
Berlin: WILEY-VCH Verlag
Erscheinungsjahr
2003
Link zum Volltext
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
This paper features FastOpt's automatic differentiation (AD) tool Transformation of Algorithms in Fortran (TAF), a source to source translator for programs written in Fortran 77‐95. TAF and its predecessor TAMC have a long record of successful large‐scale applications. Here we give an overview on how TAF approaches typical challenges of AD such as handling of badly written program code, of large memory/disk requirements, of iterative solvers or of black box routines. We also point out, where the user is required to prepare his program code prior to invoking TAF.