ADIFOR: Automatic Differentiation in a Source Translator Environment (1992)
| Venue: | INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND ALGEBRAIC COMPUTING 92 |
| Citations: | 11 - 6 self |
BibTeX
@INPROCEEDINGS{Bischof92adifor:automatic,
author = {Christian Bischof and Alan Carle and George Corliss and Andreas Griewank},
title = {ADIFOR: Automatic Differentiation in a Source Translator Environment},
booktitle = {INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND ALGEBRAIC COMPUTING 92},
year = {1992},
pages = {294--302},
publisher = {ACM}
}
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Abstract
The numerical methods employed in the solution of many scientific computing problems require the computation of derivatives of a function f : R n ! R m . ADIFOR (Automatic Differentiation In FORtran) is a source transformation tool that accepts Fortran 77 code for the computation of a function and writes portable Fortran 77 code for the computation of the derivatives. In contrast to previous approaches, ADIFOR views automatic differentiation as a source transformation problem and employs the data analysis capabilities of the ParaScope Fortran programming environment. Experimental results show that ADIFOR can handle real-life codes and that ADIFOR-generated codes are competitive with divided-difference approximations of derivatives. In addition, studies suggest that the source-transformation approach to automatic differentation may improve the time required to compute derivatives by orders of magnitude.
