Publications by Author: HascoŽt
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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

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