Publications by Author: Naumann
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Uwe Naumann
Reducing the Memory Requirement in Reverse Mode Automatic Differentiation by Solving TBR Flow Equations
Conference proceeding, Computational Science -- ICCS 2002, Proceedings of the International Conference on Computational Science, Amsterdam, The Netherlands, April 21--24, 2002. Part II, Springer, 2002
Theory & Techniques:
Static Analysis
Jean Utke, Uwe Naumann
Separating Language Dependent and Independent Tasks for the Semantic Transformation of Numerical Programs
Conference proceeding, Software Engineering and Applications (SEA 2004), ACTA Press, 2004
Tools:
OpenAD
Theory & Techniques:
Implementation Strategies, Reverse Mode, Software Engineering
Uwe Naumann, Peter Gottschling
Simulated Annealing for Optimal Pivot Selection in Jacobian Accumulation
Conference proceeding, Stochastic Algorithms: Foundations and Applications, Springer, 2003
Theory & Techniques:
Code Optimization
Jean Utke, Uwe Naumann
Software Technological Issues in Automating the Semantic Transformation of Numerical Programs
Conference proceeding, Software Engineering and Applications, Proceedings of the Seventh IASTED International Conference, ACTA Press, 2003
Tools:
OpenAD
Theory & Techniques:
Software Engineering
Uwe Naumann, Jean Utke
Source Templates for the Automatic Generation of Adjoint Code through Static Call Graph Reversal
Conference proceeding, Computational Science - ICCS 2005, Proceedings of the International Conference on Computational Science, Atlanta, GA, USA, May 22-25, 2005, Part I, Springer, 2005
Tools:
OpenAD
Theory & Techniques:
Implementation Strategies, Reverse Mode
Philipp Stumm, Andrea Walther, Jan Riehme, Uwe Naumann
Structure-Exploiting Automatic Differentiation of Finite Element Discretizations
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Optimal Control
Tools:
NAGWare Fortran 95
Theory & Techniques:
Adjoint
U. Naumann, D. Gendler, E. Varnik
Syntax-Directed Tangent-linear Code
Conference proceeding, Proceedings of the IADIS International Conference on Applied Computing, IADIS, 2007
Theory & Techniques:
Implementation Strategies
U. Naumann, A. Vehreschild
Tangent-Linear Models by ANTLR
Conference proceeding, Computational Science and Its Applications - ICCSA 2006, Springer, 2003
Theory & Techniques:
Implementation Strategies
Uwe Naumann, Andre Vehreschild
Tangent-Linear Models by Augmented LL-Parsers
Conference proceeding, Computational Science and Its Applications -- ICCSA 2006, Proceedings of the International Conference on Computational Science and its Applications, Glasgow, UK, May 8--11, 2006. Part I, Springer, 2006
Theory & Techniques:
Forward Mode, Implementation Strategies
J. Riehme, U. Naumann, B. Christianson
The differentiation-enabled NAGWare Fortran Compiler
Article in PAMM, Wiley, 2007
Tools:
NAGWare Fortran 95
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, PDSEC-09, 2009
Tools:
OpenAD
Theory & Techniques:
Adjoint, Parallelism
E. Varnik, U. Naumann, A. Lyons
Toward Low Static Memory Jacobian Accumulation
Article in WSEAS Transactions on Mathematics, WSEAS, 2006
Theory & Techniques:
Implementation Strategies
Malcolm Cohen, Uwe Naumann, Jan Riehme
Towards Differentiation-Enabled Fortran 95 Compiler Technology
Conference proceeding, Proceedings of the 18th ACM Symposium on Applied Computing, Melbourne, Florida, USA, March 9--12, 2003, 2003
Tools:
NAGWare Fortran 95
Jan Riehme, Uwe Naumann
Using the Differentiation-Enabled NAGWare Fortran 95 Compiler -- A Guided Tour
Conference proceeding, ECCOMAS 2004: Fourth European Congress on Computational Methods in Applied Sciences and Engineering, European Community on Computational Methods in Applied Sciences, 2004
Tools:
NAGWare Fortran 95
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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