Adifor 2.0: automatic differentiation of Fortran 77 programs

Author

Bischof, Christian ; Khademi, Peyvand ; Mauer, Andrew ; Carle, Alan

Author_Institution

Argonne Nat. Lab., IL, USA

Volume

3

Issue

3

fYear

1996

Firstpage

18

Lastpage

32

Abstract

Numerical codes that calculate not only a result, but also the derivatives of the variables with respect to each other, facilitate sensitivity analysis, inverse problem solving, and optimization. The paper considers how Adifor 2.0, which won the 1995 Wilkinson Prize for Numerical Software, can automatically differentiate complicated Fortran code much faster than a programmer can do it by hand. The Adifor system has three main components: the AdiFor preprocessor, the ADIntrinsics exception-handling system, and the SparsLinC library

Keywords

FORTRAN; differentiation; exception handling; mathematics computing; program processors; software libraries; ADIntrinsics exception-handling system; AdiFor preprocessor; Adifor 2.0; Fortran 77 programs; SparsLinC library; Wilkinson Prize for Numerical Software; automatic differentiation; inverse problem solving; numerical codes; optimization; sensitivity analysis; Application software; Computational modeling; Design optimization; Differential equations; Inverse problems; MIMO; Nonlinear equations; Partial differential equations; Pervasive computing; Sensitivity analysis;

fLanguage

English

Journal_Title

Computational Science & Engineering, IEEE

Publisher

ieee

ISSN

1070-9924

Type

jour

DOI

10.1109/99.537089

Filename

537089