Publications by Author: Hovland
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Order by: [Title], [Author], [Editor], [Year]
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
Mu Wang, Alex Pothen, Paul Hovland
Edge Pushing is Equivalent to Vertex Elimination for Computing Hessians
Conference proceeding, 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, Albuquerque, New Mexico, USA, October 10--12, SIAM, 2016
Theory & Techniques:
Hessian
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
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
Jieqiu Chen, Paul Hovland, Todd Munson, Jean Utke
An Integer Programming Approach to Optimal Derivative Accumulation
Recent Advances in Algorithmic Differentiation, Springer, 2012
Theory & Techniques:
Computational Graph
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
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
Mihai Alexe, Oleg Roderick, Jean Utke, Mihai Anitescu, Paul Hovland, Thomas Fanning.
Automatic Differentiation of Codes in Nuclear Engineering Application
Argonne National Laboratory, 2009
Application Area:
Engineering
Tools:
OpenAD, TAPENADE
Theory & Techniques:
Forward Mode, Reverse Mode
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
Sanjukta Bhowmick, Paul Hovland
Improving the Performance of Graph Coloring Algorithms through Backtracking
Conference proceeding, Computational Science -- ICCS 2008, 2008
Theory & Techniques:
graph coloring
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
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
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
Sanjukta Bhowmick, Paul D. Hovland
A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Computational Graph, Hessian
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
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
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
Michelle Mills Strout, Paul Hovland
Linearity Analysis for Automatic Differentiation
Conference proceeding, Computational Science -- ICCS 2006, Springer, 2006
Theory & Techniques:
Data Flow Analysis
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
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