| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Uwe Naumann, Laurent Hascoët, Chris Hill, Paul Hovland, Jan Riehme, Jean Utke
A Framework for Proving Correctness of Adjoint Message-Passing Programs
Conference proceeding,
Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface, Springer-Verlag,
2008 |
Tools:
NAGWare Fortran 95, OpenAD
Theory & Techniques:
Adjoint, Parallelism
|
|
|
Laurent Hascoët, Stefka Fidanova, Christophe Held
Adjoining Independent Computations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer,
2002 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Reverse Mode
|
|
|
D. N. Goldberg, S. H. K. Narayanan, L. Hascoët, J. Utke
An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem
Article in
Geoscientific Model Development, 2016 |
Application Area:
Climate Modeling
Tools:
OpenAD
Theory & Techniques:
Fixpoint
|
|
|
Laurent Hascoët, Mariano Vázquez, Alain Dervieux
Automatic Differentiation for Optimum Design, Applied to Sonic Boom Reduction
Conference proceeding,
Computational Science and Its Applications -- ICCSA 2003, Proceedings of the International Conference on Computational Science and its Applications, Montreal, Canada, May 18--21, 2003. Part II, Springer,
2003 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
|
|
|
M. Araya-Polo, L. Hascoët
Certification of Directional Derivatives Computed by Automatic Differentiation
Article in
WSEAS TRANSACTIONS on CIRCUITS and SYSTEMS, WSEAS,
2005 |
Application Area:
General
Tools:
TAPENADE
Theory & Techniques:
General
|
|
|
Laurent Hascoët, Jean Utke, Uwe Naumann
Cheaper adjoints by reversing address computations
Article in
Scientific Programming, IOS Press,
2008 |
Theory & Techniques:
Code Optimization, Data Flow Analysis, Recomputation, Reverse Mode
|
|
|
Laurent Hascoët, R. -M. Greborio, Valérie Pascual
Computing Adjoints by Automatic Differentiation with TAPENADE
Conference proceeding,
École INRIA-CEA-EDF ``Problèmes non-linéaires appliqués″, Springer,
2005 |
Tools:
TAPENADE
Theory & Techniques:
Adjoint
|
|
|
M. Araya-Polo, Laurent Hascoët
Data Flow Algorithms in the TAPENADE Tool for Automatic Differentiation
Conference proceeding,
Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2004), University of Jyväskylä,
2004 |
Tools:
TAPENADE
|
|
|
Mike Fagan, Laurent Hascoët, Jean Utke
Data Representation Alternatives in Semantically Augmented Numerical Models
Conference proceeding,
Proceedings of the Sixth IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2006), IEEE Computer Society,
2006 |
Tools:
ADIFOR, ADOL-C, OpenAD, TAPENADE
Theory & Techniques:
Implementation Strategies
|
|
M. Araya-Polo, L. Hascoët
Domain of Validity of Derivatives Computed by Automatic Differentiation
INRIA, 2004 |
Application Area:
General
Tools:
TAPENADE
Theory & Techniques:
General
|
|
|
Valérie Pascual, Laurent Hascoët
Extension of TAPENADE toward Fortran 95
Automatic Differentiation: Applications, Theory, and Implementations, Springer,
2005 |
Tools:
Tapenade
|
|
|
Michel Schanen, Uwe Naumann, Laurent Hascoët, Jean Utke
Interpretative adjoints for numerical simulation codes using MPI
Article in
Procedia Computer Science, 2010 |
Theory & Techniques:
Adjoint, Parallelism
|
|
|
Valérie Pascual, Laurent Hascoët
Mixed-language automatic differentiation
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
|
|
|
Valérie Pascual, Laurent Hascoët
Native Handling of Message-Passing Communication in Data-Flow Analysis
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Parallelism
|
|
|
Laurent Hascoët
Reversal Strategies for Adjoint Algorithms
From Semantics to Computer Science. Essays in memory of Gilles Kahn, Cambridge University Press,
2009 |
Tools:
Tapenade
Theory & Techniques:
reverse mode, adjoint, checkpointing, data-flow reversal, control-flow reversal
|
|
|
F. Courty, A. Dervieux, B. Koobus, L. Hascoët
Reverse automatic differentiation for optimum design: from adjoint state assembly to gradient computation
Article in
Optimization Methods and Software, 2003 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Iteration
|
|
|
Laurent Hascoët, Mathieu Morlighem
Source-to-source adjoint Algorithmic Differentiation of an ice sheet model written in C
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
|
|
|
Massimiliano Martinelli, Laurent Hascoët
Tangent-on-Tangent vs. Tangent-on-Reverse for Second Differentiation of Constrained Functionals
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
TAPENADE
Theory & Techniques:
Hessian
|
|
|
Valérie Pascual, Laurent Hascoët
TAPENADE for C
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
TAPENADE
|
|
|
Laurent Hascoët, Valérie Pascual
TAPENADE 2.1 User's Guide
INRIA, 2004 |
Tools:
TAPENADE
Theory & Techniques:
General
|
