Paul D. Hovland

According to our database, Paul D. Hovland authored at least 83 papers between 1992 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

MITgcm-AD v2: Open source tangent linear and adjoint modeling framework for the oceans and atmosphere enabled by the Automatic Differentiation tool Tapenade.

Shreyas Sunil Gaikwad, Sri Hari Krishna Narayanan, Laurent Hascoët, Jean-Michel Campin, Helen Pillar, An Nguyen, Jan Hückelheim, Paul D. Hovland, Patrick Heimbach

Future Gener. Comput. Syst., 2025

2024

A taxonomy of automatic differentiation pitfalls.

Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët

WIREs Data. Mining. Knowl. Discov., 2024

QuCLEAR: Clifford Extraction and Absorption for Significant Reduction in Quantum Circuit Size.

Ji Liu, Alvin Gonzales, Benchen Huang, Zain H. Saleem, Paul D. Hovland

CoRR, 2024

Differentiating Through Linear Solvers.

Paul D. Hovland, Jan Hückelheim

CoRR, 2024

Integrating ytopt and libEnsemble to Autotune OpenMC.

Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall

CoRR, 2024

QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits.

Peiyi Li, Ji Liu, Alvin Gonzales, Zain H. Saleem, Huiyang Zhou, Paul D. Hovland

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023

Understanding Automatic Differentiation Pitfalls.

Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët

CoRR, 2023

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.

Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall

CoRR, 2023

Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis.

Ji Liu, Ed Younis, Mathias Weiden, Paul D. Hovland, John Kubiatowicz, Costin Iancu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

QContext: Context-Aware Decomposition for Quantum Gates.

Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Transfer-learning-based Autotuning using Gaussian Copula.

Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash

Proceedings of the 37th International Conference on Supercomputing, 2023

Accelerating VQE Algorithm via Parameters and Measurement Reuse.

Xinpeng Li, Ji Liu, Ethan H. Hansen, Shuai Xu, Paul D. Hovland, Vipin Chaudhary

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation.

Peiyi Li, Ji Liu, Hrushikesh Pramod Patil, Paul D. Hovland, Huiyang Zhou

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Model Checking Race-Freedom When "Sequential Consistency for Data-Race-Free Programs" is Guaranteed.

Wenhao Wu, Jan Hückelheim, Paul D. Hovland, Ziqing Luo, Stephen F. Siegel

Proceedings of the Computer Aided Verification - 35th International Conference, 2023

2022

Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization.

Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall

Concurr. Comput. Pract. Exp., 2022

Verifying Fortran Programs with CIVL.

Wenhao Wu, Jan Hückelheim, Paul D. Hovland, Stephen F. Siegel

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2022

Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods.

Robert Jackson, Rebecca Gjini, Sri Hari Krishna Narayanan, Matt Menickelly, Paul D. Hovland, Jan Hückelheim, Scott M. Collis

Proceedings of the 21st Python in Science Conference 2022, 2022

Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation.

William S. Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hückelheim, Johannes Doerfert, Paul D. Hovland

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Reducing Memory Requirements of Quantum Optimal Control.

Sri Hari Krishna Narayanan, Thomas Propson, Marcelo Bongarti, Jan Hückelheim, Paul D. Hovland

Proceedings of the Computational Science - ICCS 2022, 2022

TROPHY: Trust Region Optimization Using a Precision Hierarchy.

Richard J. Clancy, Matt Menickelly, Jan Hückelheim, Paul D. Hovland, Prani Nalluri, Rebecca Gjini

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version).

Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall

CoRR, 2021

Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.

Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

Error Estimation and Correction Using the Forward CENA Method.

Paul D. Hovland, Jan Hückelheim

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Vector Forward Mode Automatic Differentiation on SIMD/SIMT architectures.

Jan Hückelheim, Michel Schanen, Sri Hari Krishna Narayanan, Paul D. Hovland

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver.

Jan Hückelheim, Paul D. Hovland, Michelle Mills Strout, Jens-Dominik Müller

Int. J. High Perform. Comput. Appl., 2019

Computing Derivatives for PETSc Adjoint Solvers using Algorithmic Differentiation.

Joseph G. Wallwork, Paul D. Hovland, Hong Zhang, Oana Marin

CoRR, 2019

Training on the Edge: The why and the how.

Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Automatic Differentiation for Adjoint Stencil Loops.

Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland

Proceedings of the 48th International Conference on Parallel Processing, 2019

Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems.

Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul D. Hovland, Gerard Gorman

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation.

Jan Christian Hückelheim, Paul D. Hovland, Michelle Mills Strout, Jens-Dominik Müller

Optim. Methods Softw., 2018

Combining checkpointing and data compression for large scale seismic inversion.

Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman

CoRR, 2018

Verifying Properties of Differentiable Programs.

Jan Hückelheim, Ziqing Luo, Sri Hari Krishna Narayanan, Stephen F. Siegel, Paul D. Hovland

Proceedings of the Static Analysis - 25th International Symposium, 2018

Vectorised Computation of Diverging Ensembles.

Jan Hückelheim, Paul D. Hovland, Sri Hari Krishna Narayanan, Paulius Velesko

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

Report of the HPC Correctness Summit, Jan 25-26, 2017, Washington, DC.

Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu, Sriram Krishnamoorthy, Ignacio Laguna, Richard A. Lethin, Koushik Sen, Stephen F. Siegel, Armando Solar-Lezama

CoRR, 2017

Towards Self-Verification in Finite Difference Code Generation.

Jan Hückelheim, Ziqing Luo, Fabio Luporini, Navjot Kukreja, Michael Lange, Gerard Gorman, Stephen F. Siegel, Matthew B. Dwyer, Paul D. Hovland

Proceedings of the First International Workshop on Software Correctness for HPC Applications, 2017

2016

Optimal Multistage Algorithm for Adjoint Computation.

Guillaume Aupy, Julien Herrmann, Paul D. Hovland, Yves Robert

SIAM J. Sci. Comput., 2016

AutoMOMML: Automatic Multi-objective Modeling with Machine Learning.

Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild, Laura Carrington, Paul D. Hovland

Proceedings of the High Performance Computing - 31st International Conference, 2016

Edge Pushing is Equivalent to Vertex Elimination for Computing Hessians.

Mu Wang, Alex Pothen, Paul D. Hovland

Proceedings of the 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2016

Exploiting Performance Portability in Search Algorithms for Autotuning.

Amit Roy, Prasanna Balaprakash, Paul D. Hovland, Stefan M. Wild

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Generating Efficient Tensor Contractions for GPUs.

Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary W. Hall, Paul D. Hovland, Elizabeth R. Jessup, Boyana Norris

Proceedings of the 44th International Conference on Parallel Processing, 2015

Autotuning FPGA Design Parameters for Performance and Power.

Azamat Mametjanov, Prasanna Balaprakash, Chekuri Choudary, Paul D. Hovland, Stefan M. Wild, Gerald Sabin

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

Collective I/O Tuning Using Analytical and Machine Learning Models.

Florin Isaila, Prasanna Balaprakash, Stefan M. Wild, Dries Kimpe, Robert Latham, Robert B. Ross, Paul D. Hovland

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing.

Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

Energy-performance tradeoffs in multilevel checkpoint strategies.

Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013

Software Abstractions and Methodologies for HPC Simulation Codes on Future Architectures.

Anshu Dubey, Steven R. Brandt, Richard C. Brower, M. Giles, Paul D. Hovland, Don Q. Lamb, Frank Löffler, Boyana Norris, Brian W. O'Shea, Claudio Rebbi, Marc Snir, Rajeev Thakur

CoRR, 2013

Empirical performance modeling of GPU kernels using active learning.

Prasanna Balaprakash, Karl Rupp, Azamat Mametjanov, Robert B. Gramacy, Paul D. Hovland, Stefan M. Wild

Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

Exascale workload characterization and architecture implications.

Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris

Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013

2012

An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning.

Prasanna Balaprakash, Stefan M. Wild, Paul D. Hovland

Proceedings of the High Performance Computing for Computational Science, 2012

Poster: An Exascale Workload Study.

Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: An Exascale Workload Study.

Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011

Sparse Jacobian Computation Using ADIC2 and ColPack.

Sri Hari Krishna Narayanan, Boyana Norris, Paul D. Hovland, Duc C. Nguyen, Assefaw Hadish Gebremedhin

Proceedings of the International Conference on Computational Science, 2011

Can search algorithms save large-scale automatic performance tuning?

Prasanna Balaprakash, Stefan M. Wild, Paul D. Hovland

Proceedings of the International Conference on Computational Science, 2011

2010

Speeding up Nek5000 with autotuning and specialization.

Jaewook Shin, Mary W. Hall, Jacqueline Chame, Chun Chen, Paul F. Fischer, Paul D. Hovland

Proceedings of the 24th International Conference on Supercomputing, 2010

Generating Performance Bounds from Source Code.

Sri Hari Krishna Narayanan, Boyana Norris, Paul D. Hovland

Proceedings of the 39th International Conference on Parallel Processing, 2010

Autotuning and Specialization: Speeding up Matrix Multiply for Small Matrices with Compiler Technology.

Jaewook Shin, Mary W. Hall, Jacqueline Chame, Chun Chen, Paul D. Hovland

Proceedings of the Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010

2009

Automatic Differentiation: Parallel Computation.

Christian H. Bischof, Paul D. Hovland

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Toward adjoinable MPI.

Jean Utke, Laurent Hascoët, Patrick Heimbach, Chris Hill, Paul D. Hovland, Uwe Naumann

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Evaluation of Hierarchical Mesh Reorderings.

Michelle Mills Strout, Nissa Osheim, Dave Rostron, Paul D. Hovland, Alex Pothen

Proceedings of the Computational Science, 2009

Improving Random Walk Performance.

Ilya Safro, Paul D. Hovland, Jaewook Shin, Michelle Mills Strout

Proceedings of the 2009 International Conference on Scientific Computing, 2009

2008

On the implementation of automatic differentiation tools.

Christian H. Bischof, Paul D. Hovland, Boyana Norris

High. Order Symb. Comput., 2008

A Framework for Proving Correctness of Adjoint Message-Passing Programs.

Uwe Naumann, Laurent Hascoët, Chris Hill, Paul D. Hovland, Jan Riehme, Jean Utke

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2008

Improving the Performance of Graph Coloring Algorithms through Backtracking.

Sanjukta Bhowmick, Paul D. Hovland

Proceedings of the Computational Science, 2008

2007

Comparison of two activity analyses for automatic differentiation: context-sensitive flow-insensitive vs. context-insensitive flow-sensitive.

Jaewook Shin, Paul D. Hovland

Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

2006

Term Graphs for Computing Derivatives in Imperative Languages.

Paul D. Hovland, Boyana Norris, Michelle Mills Strout, Jean Utke

Proceedings of the Third International Workshop on Term Graph Rewriting, 2006

Data-Flow Analysis for MPI Programs.

Michelle Mills Strout, Barbara Kreaseck, Paul D. Hovland

Proceedings of the 2006 International Conference on Parallel Processing (ICPP 2006), 2006

Linearity Analysis for Automatic Differentiation.

Michelle Mills Strout, Paul D. Hovland

Proceedings of the Computational Science, 2006

Hybrid Static/Dynamic Activity Analysis.

Barbara Kreaseck, Luis Ramos, Scott Easterday, Michelle Mills Strout, Paul D. Hovland

Proceedings of the Computational Science, 2006

2005

Making automatic differentiation truly automatic: coupling PETSc with ADIC.

Paul D. Hovland, Boyana Norris, Barry F. Smith

Future Gener. Comput. Syst., 2005

Representation-independent program analysis.

Michelle Mills Strout, John M. Mellor-Crummey, Paul D. Hovland

Proceedings of the 2005 ACM SIGPLAN-SIGSOFT Workshop on Program Analysis For Software Tools and Engineering, 2005

2004

Metrics and models for reordering transformations.

Michelle Mills Strout, Paul D. Hovland

Proceedings of the 2004 workshop on Memory System Performance, 2004

2002

Parallel components for PDEs and optimization: some issues and experiences.

Boyana Norris, Satish Balay, Steven Benson, Lori A. Freitag, Paul D. Hovland, Lois C. McInnes, Barry F. Smith

Parallel Comput., 2002

2001

Parallel simulation of compressible flow using automatic differentiation and PETSc.

Paul D. Hovland, Lois C. McInnes

Parallel Comput., 2001

A Distributed Application Server for Automatic Differentiation.

Boyana Norris, Paul D. Hovland

Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000

On Combining Computational Differentiation and Toolkits for Parallel Scientific Computing.

Christian H. Bischof, H. Martin Bücker, Paul D. Hovland

Proceedings of the Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29, 2000

1999

Solving Nonlinear PDEs Using PETSc and Automatic Differentiation.

Paul D. Hovland, Lois C. McInnes, Barry F. Smith

Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Infrastructure and Interfaces for Large-Scale Numerical Software.

Lori A. Freitag, William Gropp, Paul D. Hovland, Lois C. McInnes, Barry F. Smith

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

1998

Automatic Differentiation for Message-Passing Parallel Programs.

Paul D. Hovland, Christian H. Bischof

Proceedings of the 12th International Parallel Processing Symposium / 9th Symposium on Parallel and Distributed Processing (IPPS/SPDP '98), March 30, 1998

1997

Automatic Differentiation of Parallel Programs

Paul D. Hovland

PhD thesis, 1997

Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics.

Paul D. Hovland, Christian H. Bischof, Donna Spiegelman, Mario Casella

SIAM J. Sci. Comput., 1997

Automatic Differentiation of a Parallel Molecular Dynamics Application.

Paul D. Hovland, Christian H. Bischof, Lucas Roh

Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

1993

A Model for Automatic Dta Partitioning.

Paul D. Hovland, Lionel M. Ni

Proceedings of the 1993 International Conference on Parallel Processing, 1993

Further Research on Feature Selection and Classification Using Genetic Algorithms.

William F. Punch III, Erik D. Goodman, Min Pei, Lai Chia-Shun, Paul D. Hovland, Richard J. Enbody

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992

ADIFOR - Generating Derivative Codes form Fortran Programs.

Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, Paul D. Hovland

Sci. Program., 1992