Publications by Author: Hascoët
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Order by: [Title], [Author], [Editor], [Year]
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
Laurent Hascoët, Mauricio Araya-Polo
The Adjoint Data-Flow Analyses: Formalization, Properties, and Applications
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Application Area:
General
Tools:
TAPENADE
Theory & Techniques:
Data Flow Analysis, Adjoint
Laurent Hascoët, Valérie Pascual
TAPENADE 2.1 User's Guide
INRIA, 2004
Tools:
TAPENADE
Theory & Techniques:
General
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
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
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
Laurent Hascoët, Uwe Naumann, Valérie Pascual
``To be recorded″ analysis in reverse-mode automatic differentiation
Article in Future Generation Computer Systems, 2005
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Data Flow Analysis, Reverse Mode, Static Analysis
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
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
Jean Utke, Laurent Hascoët, Patrick Heimbach, Chris Hill, Paul Hovland, Uwe Naumann
Toward Adjoinable MPI
Conference proceeding, Proceedings of the 10th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, PDSEC-09, 2009
Tools:
OpenAD
Theory & Techniques:
Adjoint, Parallelism
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
L. Hascoët, V. Pascual
The Tapenade Automatic Differentiation tool: Principles, Model, and Specification
Article in ACM Transactions on Mathematical Software, 2013
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Checkpointing, control-flow reversal, Data Flow Analysis, data-flow reversal, Implementation Strategies, Reverse Mode, Source transformation, Static Analysis
Claire Lauvernet, Laurent Hascoët, François-Xavier Le Dimet, Frédéric Baret
Using Automatic Differentiation to Study the Sensitivity of a Crop Model
Recent Advances in Algorithmic Differentiation, Springer, 2012
Tools:
TAPENADE
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, 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
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