BibTeX
@INCOLLECTION{
         Naumann2005CAw,
       author = "Uwe Naumann and Jan Riehme",
       title = "Computing Adjoints with the {NAGWare} {F}ortran~95 Compiler",
       editor = "H. M. B{\"u}cker and G. Corliss and P. Hovland and U. Naumann and B.
         Norris",
       booktitle = "Automatic Differentiation: {A}pplications, Theory, and Implementations",
       series = "Lecture Notes in Computational Science and Engineering",
       publisher = "Springer",
       year = "2005",
       abstract = "We present a new experimental version of the differentiation-enabled NAGWare
         Fortran~95 compiler (from now on referred to as ``the AD compiler'') that provides support
         for the computation of adjoints in the reverse mode of automatic differentiation (AD). Our
         implementation uses split program reversal in conjunction with a stack of gradients of all
         assignments executed inside the active section. Two papers describe the modifications of the
         compiler infrastructure that were required to provide forward-mode AD capabilities. The reverse mode
         presented in this paper makes extensive use of these features. Special emphasis is put on the
         presentation of the new user interface that provides a very easy and intuitive way for initiating
         derivative computations as well as for addressing the results. Various language extensions are
         introduced for this purpose. The compiler front-end is modified to accept these new constructs
         syntactically and semantically. The use of the language extensions triggers the automatic generation
         of derivative codes of various kinds by the compiler.",
       crossref = "Bucker2005ADA",
       ad_tools = "NAGWare Fortran 95",
       ad_theotech = "Adjoint, Reverse Mode, Software Engineering, X-Country",
       pages = "159--169",
       doi = "10.1007/3-540-28438-9_14"
}