Advertisement
Published in:
2006 | OriginalPaper | Chapter
Computing Adjoints with the NAGWare Fortran 95 Compiler
Authors : Uwe Naumann, Jan Riehme
Published in: Automatic Differentiation: Applications, Theory, and Implementations
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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) [42, 136, 227]. Our implementation uses split program reversal [225, Chapter 10] 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 [126, 401]. The reverse mode presented in this paper makes extensive use of these features.