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[1-6]
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[Title],
[Author],
[Editor],
[Year] |
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Michelle Mills Strout, Paul Hovland
Linearity Analysis for Automatic Differentiation
Conference proceeding,
Computational Science -- ICCS 2006, Springer,
2006 |
Theory & Techniques:
Data Flow Analysis
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Barbara Kreaseck, Luis Ramos, Scott Easterday, Michelle Strout, Paul Hovland
Hybrid Static/Dynamic Activity Analysis
Conference proceeding,
Computational Science -- ICCS 2006, Springer,
2006 |
Tools:
ADIC, OpenAD
Theory & Techniques:
Dynamic Analysis, Static Analysis
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Paul Hovland, Boyana Norris, Michelle Strout, Sanjukta Bhowmick, Jean Utke
Sensitivity Analysis and Design Optimiziation through Automatic Differentiation
Conference proceeding,
SciDAC 2005, 2005 |
Tools:
OpenAD
Theory & Techniques:
General
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Jean Utke, Uwe Naumann, Mike Fagan, Nathan Tallent, Michelle Strout, Patrick Heimbach, Chris Hill, Carl Wunsch
OpenAD/F: A Modular, Open-Source Tool for Automatic Differentiation of Fortran Codes
Article in
ACM Transactions on Mathematical Software, 2008 |
Tools:
OpenAD
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Paul D. Hovland, Boyana Norris, Michelle Mills Strout, Jean Utke
Term Graphs for Computing Derivatives in Imperative Languages
Article in
Electron. Notes Theor. Comput. Sci., Elsevier Science Publishers B. V.,
2007 |
Tools:
ADIC, OpenAD
Theory & Techniques:
Computational Graph
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Jan C. Hückelheim, Paul D. Hovland, Michelle M. Strout, Jens-Dominik Müller
Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Code Optimization, control-flow reversal, Data Flow Analysis, data-flow reversal, Implementation Strategies, Parallelism, Performance, Reverse Mode, Source transformation
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