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Revision as of 15:42, 27 November 2013

Contents

About Automatic Differentiation at Argonne

The Computational Differentiation Group (aka Automatic Differentiation Group) at Argonne develops technologies for generating, with minimal human effort, efficient derivative code for models implemented as computer programs. These technologies include compiler-based automatic differentiation tools, new differentiation strategies, and web-based differentiation services. Our research is guided by our collaborations with scientists from a variety of application domains.

Software

ADIC for C/C++

ADIFOR for Fortran 77

OpenAD/F for Fortran 90

People

Paul Hovland

Andrew Lyons

Sri Hari Krishna Narayanan

Boyana Norris

Ilya Safro

Jaewook Shin

Jean Utke

Working Notes

The most recent AD conference

see AD 2012

Tools related pages

AD short course at USNCCM Jul/21/2013

AD tools integration with NEOS

ROSE

Adol-C Notes

Other Software

hpctoolkit

Mercurial

qmagic

cmaq

ISSM

Personal tools