Automatic analysis and transformation of Fortran programs using a typed functional language
Proceedings of the 10th international conference on computing methods in applied sciences and engineering on Computing methods in applied sciences and engineering
Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++
ACM Transactions on Mathematical Software (TOMS)
Evaluating derivatives: principles and techniques of algorithmic differentiation
Evaluating derivatives: principles and techniques of algorithmic differentiation
ACM Transactions on Mathematical Software (TOMS)
Recomputations in reverse mode AD
Automatic differentiation of algorithms
Automatic differentiation of algorithms
Adjoining independent computations
Automatic differentiation of algorithms
Adifor 2.0: Automatic Differentiation of Fortran 77 Programs
IEEE Computational Science & Engineering
Comparing global strategies for coding adjoints
Scientific Programming
Hybrid differentiation strategies for simulation and analysis of applications in C++
ACM Transactions on Mathematical Software (TOMS)
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Numerous automatic differentiation strategies can be imagined to produce all kind of derivative programs under a wide range of complexity constraints, but there is no way to prototype and evaluate them on real size applications with reasonable effort. Since the development of an automatic differentiation platform is prohibitively expensive, using an existing platform to share investments between the different research teams is a good solution. Odyssée is an open automatic differentiation tool that enables the development of program analysis as well as program transformation for automatic differentiation. It has been used to differentiate large size industrial programs (300 000 lines of Fortran 77) and to prototype diverse new automatic differentiation algorithms. Its source is now freely available, a cooperative research project can therefore be based on it without financial or contractual constraint.