Title :
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
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;
Journal_Title :
Computational Science & Engineering, IEEE
