Name        : OpenAD                       Relocations: (not relocatable)
Version     : 20140315                          Vendor: ALT Linux Team
Release     : alt2                          Build Date: Mon Mar  2 14:31:44 2015
Install date: (not installed)               Build Host: real-sisyphus.hasher.altlinux.org
Group       : Sciences/Mathematics          Source RPM: (none)
Size        : 314887183                        License: BSD
Packager    : Eugeny A. Rostovtsev (REAL) <real at altlinux.org>
URL         : http://www.mcs.anl.gov/OpenAD/
Summary     : A tool for automatic differentiation (AD) of numerical computer programs
Description :
OpenAD is a tool for automatic differentiation (AD) of numerical
computer programs.

The main goals for OpenAD initially defined for the  ACTS project are:

1. Develop a flexible, modular, open source tool that can generate
   adjoint codes of numerical simulation programs,
2. Establish a platform for easy implementation and testing of source
   transformation algorithms via a language-independent abstract
   intermediate representation
3. Support for source code written in C and Fortan,
4. Generate  an adjoint for the MIT general circulation model.  The
   example on  the right (animated gif)  shows a sensitivity map of the
   heat transport in the north atlantic to temperature in a depth of
   1590 meters over a period of 10 years going backwards in time. There
   are also results of a 100 year simulation at three depth levels.

The intention of this project summary is to give potential users of
adjoint compiler technology an overview of the current capabilities of
OpenAD together with pointers to more detailed information in the form
of online documentation and published papers. It should substantiate the
following important points:

* OpenAD has been used successfully to implement a source transformation
  tool for the automatic generation of adjoint Fortran code.
* The automatic generation of adjoint code for large-scale numerical
  simulations is a highly complex and work intensive task in terms of
  algorithmic and software-technological problems.
* The ACTS project made an important first step in the right direction.
  Further funding is required to continue the work on open software for
  the automatic generation of robust and efficient adjoint code.