Publications by Author: Hovland
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Paul D. Hovland, Lois C. McInnes
Parallel simulation of compressible flow using automatic differentiation and PETSc
Article in Parallel Comput., Elsevier Science Publishers B. V., 2001
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
Jacobian-vector product
Azamat Mametjanov, Boyana Norris, Xiaoyan Zeng, Beth Drewniak, Jean Utke, Mihai Anitescu, Paul Hovland
Applying Automatic Differentiation to the Community Land Model
Recent Advances in Algorithmic Differentiation, Springer, 2012
Tools:
OpenAD
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
C. H. Bischof, H. M. Bücker, P. D. Hovland
On Combining Computational Differentiation and Toolkits for Parallel Scientific Computing
Conference proceeding, Euro-Par 2000 -- Parallel Processing, Proceedings of the 6th International Euro-Par Conference, Munich, Germany, August/September 2000, Springer, 2000
Theory & Techniques:
Toolkits
C. H. Bischof, P. Hovland, B. Norris
On the Implementation of Automatic Differentiation Tools
Article in Higher-Order and Symbolic Computation, 2008
Theory & Techniques:
Implementation Strategies
Christian Bischof, Alan Carle, George Corliss, Andreas Griewank, Paul Hovland
Generating Derivative Codes from Fortran Programs
Mathematics and Computer Science Division, Argonne National Laboratory, 1992
not yet classified
Christian Bischof, Alan Carle, George Corliss, Andreas Griewank, Paul Hovland
ADIFOR: Fortran Source Translation for Efficient Derivatives
Mathematics and Computer Science Division, Argonne National Laboratory, 1991
Tools:
ADIFOR
Christian Bischof, Alan Carle, George Corliss, Moe El-Khadiri, Paul Hovland, Andreas Griewank
Getting Started with ADIFOR
Mathematics and Computer Science Division, Argonne National Laboratory, 1992
Tools:
ADIFOR
Christian H. Bischof, Paul D. Hovland
Automatic Differentiation: Parallel Computation
Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
Theory & Techniques:
Parallelism
Christian H. Bischof, Paul D. Hovland, Boyana Norris
Implementation of Automatic Differentiation Tools
Conference proceeding, Proceedings of the 2002 ACM SIGPLAN Workshop on Partial Evaluation and Semantics-Based Program Manipulation (PEPM'02), ACM Press, 2002
Tools:
Development
Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, Paul D. Hovland
ADIFOR: Generating Derivative Codes from Fortran Programs
Article in Scientific Programming, 1992
Tools:
ADIFOR
Christian H. Bischof, Alan Carle, Paul D. Hovland, Peyvand Khademi, Andrew Mauer
ADIFOR 2.0 User's Guide (Revision D)
Mathematics and Computer Science Division Technical Memorandum no. 192 and Center for Research on Parallel Computation Technical Report CRPC-95516-S, 1998
Tools:
ADIFOR
Christian H. Bischof, Alan Carle, Peyvand M. Khademi, Andrew Mauer, Paul Hovland
ADIFOR 2.0 User's Guide
Mathematics and Computer Science Division, Argonne National Laboratory, 1994
Tools:
ADIFOR
Christian H. Bischof, Paul Hovland
Using ADIFOR to Compute Dense and Sparse Jacobians
Mathematics and Computer Science Division, Argonne National Laboratory, 1991
Tools:
ADIFOR
Theory & Techniques:
Hessian, Sparsity
David E. Keyes, Paul D. Hovland, Lois C. McInnes, Widodo Samyono
Using Automatic Differentiation for Second-order Matrix-free Methods in PDE-Constrained Optimization
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Guillaume Aupy, Julien Herrmann, Paul Hovland, Yves Robert
Optimal Multistage Algorithm for Adjoint Computation
Article in SIAM Journal on Scientific Computing, 2016
Theory & Techniques:
Checkpointing
H. M. Bücker, K. R. Buschelman, P. D. Hovland
A Matrix-Matrix Multiplication Approach to the Automatic Differentiation and Parallelization of Straight-Line Codes
Conference proceeding, Workshop Proceedings of the International Conference on Architecture of Computing Systems ARCS 2002, Germany, April 8--12, 2002, VDE Verlag, 2002
Theory & Techniques:
Parallelism
Hany S. Abdel-Khalik, Paul D. Hovland, Andrew Lyons, Tracy E. Stover, Jean Utke
A Low Rank Approach to Automatic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Tools:
OpenAD
Theory & Techniques:
Jacobian-vector product
Jaewook Shin, Priyadarshini Malusare, Paul D. Hovland
Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Data Flow Analysis
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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