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[1-15]
Order by:
[Title],
[Author],
[Editor],
[Year] |
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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
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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
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Laurent Hascoët, Valérie Pascual
TAPENADE 2.1 User's Guide
INRIA, 2004 |
Tools: TAPENADE Theory & Techniques: General
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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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