Publications by Author: Hovland
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Paul D. Hovland, Christian H. Bischof, Donna Spiegelman, Mario Casella
Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics
Article in SIAM Journal on Scientific Computing, 1997
Tools:
ADIFOR
Theory & Techniques:
Interface Contraction
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, Moe El-Khadiri, Paul Hovland, Andreas Griewank
Getting Started with ADIFOR
Mathematics and Computer Science Division, Argonne National Laboratory, 1992
Tools:
ADIFOR
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
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
Sri Hari Krishna Narayanan, Boyana Norris, Paul Hovland, Assefaw Gebremedhin
Implementation of Partial Separability in a Source-to-Source Transformation AD Tool
Recent Advances in Algorithmic Differentiation, Springer, 2012
Theory & Techniques:
partial separability
Sanjukta Bhowmick, Paul Hovland
Improving the Performance of Graph Coloring Algorithms through Backtracking
Conference proceeding, Computational Science -- ICCS 2008, 2008
Theory & Techniques:
graph coloring
Jason Abate, Steve Benson, Lisa Grignon, Paul D. Hovland, Lois C. McInnes, Boyana Norris
Integrating AD with Object-Oriented Toolkits for High-performance Scientific Computing
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Toolkits
Michelle Mills Strout, Paul Hovland
Linearity Analysis for Automatic Differentiation
Conference proceeding, Computational Science -- ICCS 2006, Springer, 2006
Theory & Techniques:
Data Flow Analysis
P. Hovland, B. Norris, B. Smith
Making Automatic Differentiation Truly Automatic: Coupling PETSc with ADIC
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
Tools:
ADIC
Theory & Techniques:
Toolkits
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
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
Paul D. Hovland, Lois C. McInnes
Parallel Simulation of Compressible Flow Using Automatic Differentiation and PETSc
Mathematics and Computer Science Division, Argonne National Laboratory, 2000
not yet classified
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
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
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
Jong G. Kim, Paul D. Hovland
Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Steven L. Lee, Paul D. Hovland
Sensitivity Analysis Using Parallel ODE Solvers and Automatic Differentiation in C: SensPVODE and ADIC
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Sri Hari Krishna Narayanan, Boyana Norris, Paul Hovland, Duc C. Nguyen, Assefaw H. Gebremedhin
Sparse Jacobian Computation Using ADIC2 and ColPack
Article in Procedia Computer Science, 2011
Application Area:
Chemistry
Tools:
ADIC, ColPack
Theory & Techniques:
Sparsity

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