Paul D. Hovland

107 papers A* 4A 5B 7C 6Misc 10Journal 35Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models. CoRR Zhengyang Wang, Ziyue Liu, Ruijie Zhang, Avinash Maurya, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Zheng Zhang
2025	A*	`conf`	CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. EMNLP Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang
2025	J	`jnl`	CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. CoRR Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Zheng Zhang
2025	Misc	`conf`	HOPPS: Hardware-Aware Optimal Phase Polynomial Synthesis with Blockwise Optimization for Quantum Circuits. HiPC Xinpeng Li, Ji Liu, Shuai Xu, Paul D. Hovland, Vipin Chaudhary
2025	A*	`conf`	Hardware-Software Co-design for Distributed Quantum Computing. DAC Ji Liu, Allen Zang, Martin Suchara, Tian Zhong, Paul D. Hovland
2025	J	`jnl`	Integrating ytopt and libEnsemble to autotune OpenMC. Int. J. High Perform. Comput. Appl. Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2025	J	`jnl`	Is Circuit Depth Accurate for Comparing Quantum Circuit Runtimes? CoRR Matthew Tremba, Ji Liu, Paul D. Hovland
2025	J	`jnl`	MITgcm-AD v2: Open source tangent linear and adjoint modeling framework for the oceans and atmosphere enabled by the Automatic Differentiation tool Tapenade. Future Gener. Comput. Syst. Shreyas Sunil Gaikwad, Sri Hari Krishna Narayanan, Laurent Hascoët, Jean-Michel Campin, Helen Pillar, An Nguyen, Jan Hückelheim, Paul D. Hovland, Patrick Heimbach
2025	A*	`conf`	QuCLEAR: Clifford Extraction and Absorption for Quantum Circuit Optimization. HPCA Ji Liu, Alvin Gonzales, Benchen Huang, Zain Hamid Saleem, Paul D. Hovland
2025	—	`conf`	State Dependent Optimization with Quantum Circuit Cutting. ISVLSI Xinpeng Li, Ji Liu, Jeffrey M. Larson, Shuai Xu, Sundararaja Sitharama Iyengar, Paul D. Hovland, Vipin Chaudhary
2025	—	`conf`	VSS Challenge Problem: Verifying the Correctness of AllReduce Algorithms in the MPICH Implementation of MPI. VSS@ETAPS Paul D. Hovland
2025	—	`conf`	Verifying PETSc Vector Components Using CIVL. CAV (1) Venkata Dhavala, Jan Hückelheim, Paul D. Hovland, Stephen F. Siegel
2025	J	`jnl`	ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. Concurr. Comput. Pract. Exp. Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2024	J	`jnl`	A taxonomy of automatic differentiation pitfalls. WIREs Data. Mining. Knowl. Discov. Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët
2024	J	`jnl`	Differentiating Through Linear Solvers. CoRR Paul D. Hovland, Jan Hückelheim
2024	J	`jnl`	Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2024	J	`jnl`	QuCLEAR: Clifford Extraction and Absorption for Significant Reduction in Quantum Circuit Size. CoRR Ji Liu, Alvin Gonzales, Benchen Huang, Zain H. Saleem, Paul D. Hovland
2024	A*	`conf`	QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits. ISCA Peiyi Li, Ji Liu, Alvin Gonzales, Zain H. Saleem, Huiyang Zhou, Paul D. Hovland
2024	J	`jnl`	Transfer-Learning-Based Autotuning Using Gaussian Copula. CoRR Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	—	`conf`	Accelerating VQE Algorithm via Parameters and Measurement Reuse. ICRC Xinpeng Li, Ji Liu, Ethan H. Hansen, Shuai Xu, Paul D. Hovland, Vipin Chaudhary
2023	C	`conf`	Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation. ICCD Peiyi Li, Ji Liu, Hrushikesh Pramod Patil, Paul D. Hovland, Huiyang Zhou
2023	—	`conf`	Model Checking Race-Freedom When "Sequential Consistency for Data-Race-Free Programs" is Guaranteed. CAV (2) Wenhao Wu, Jan Hückelheim, Paul D. Hovland, Ziqing Luo, Stephen F. Siegel
2023	J	`jnl`	Model Checking Race-freedom When "Sequential Consistency for Data-race-free Programs" is Guaranteed. CoRR Wenhao Wu, Jan Hückelheim, Paul D. Hovland, Ziqing Luo, Stephen F. Siegel
2023	C	`conf`	QContext: Context-Aware Decomposition for Quantum Gates. ISCAS Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
2023	J	`jnl`	QContext: Context-Aware Decomposition for Quantum Gates. CoRR Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
2023	Misc	`conf`	Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis. QCE Ji Liu, Ed Younis, Mathias Weiden, Paul D. Hovland, John Kubiatowicz, Costin Iancu
2023	J	`jnl`	Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis. CoRR Ji Liu, Ed Younis, Mathias Weiden, Paul D. Hovland, John Kubiatowicz, Costin Iancu
2023	A	`conf`	Transfer-learning-based Autotuning using Gaussian Copula. ICS Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	J	`jnl`	Understanding Automatic Differentiation Pitfalls. CoRR Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët
2023	J	`jnl`	ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2022	J	`jnl`	Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2022	—	`conf`	Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods. SciPy Robert Jackson, Rebecca Gjini, Sri Hari Krishna Narayanan, Matt Menickelly, Paul D. Hovland, Jan Hückelheim, Scott M. Collis
2022	—	`conf`	Reducing Memory Requirements of Quantum Optimal Control. ICCS (4) Sri Hari Krishna Narayanan, Thomas Propson, Marcelo Bongarti, Jan Hückelheim, Paul D. Hovland
2022	A	`conf`	Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation. SC William S. Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hückelheim, Johannes Doerfert, Paul D. Hovland
2022	—	`conf`	TROPHY: Trust Region Optimization Using a Precision Hierarchy. ICCS (1) Richard J. Clancy, Matt Menickelly, Jan Hückelheim, Paul D. Hovland, Prani Nalluri, Rebecca Gjini
2022	—	`conf`	Verifying Fortran Programs with CIVL. TACAS (1) Wenhao Wu, Jan Hückelheim, Paul D. Hovland, Stephen F. Siegel
2021	J	`jnl`	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2021	—	`conf`	Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. PMBS Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021	J	`jnl`	Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. CoRR Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021	—	`conf`	Error Estimation and Correction Using the Forward CENA Method. ICCS (1) Paul D. Hovland, Jan Hückelheim
2020	—	`conf`	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020	J	`jnl`	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020	B	`conf`	Vector Forward Mode Automatic Differentiation on SIMD/SIMT architectures. ICPP Jan Hückelheim, Michel Schanen, Sri Hari Krishna Narayanan, Paul D. Hovland
2019	B	`conf`	Automatic Differentiation for Adjoint Stencil Loops. ICPP Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland
2019	J	`jnl`	Automatic Differentiation for Adjoint Stencil Loops. CoRR Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland
2019	—	`conf`	Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems. Euro-Par Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul D. Hovland, Gerard Gorman
2019	J	`jnl`	Computing Derivatives for PETSc Adjoint Solvers using Algorithmic Differentiation. CoRR Joseph G. Wallwork, Paul D. Hovland, Hong Zhang, Oana Marin
2019	J	`jnl`	Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver. Int. J. High Perform. Comput. Appl. Jan Hückelheim, Paul D. Hovland, Michelle Mills Strout, Jens-Dominik Müller
2019	—	`conf`	Training on the Edge: The why and the how. IPDPS Workshops Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman
2019	J	`jnl`	Training on the Edge: The why and the how. CoRR Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman
2018	J	`jnl`	Combining checkpointing and data compression for large scale seismic inversion. CoRR Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman
2018	J	`jnl`	Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation. Optim. Methods Softw. Jan Christian Hückelheim, Paul D. Hovland, Michelle Mills Strout, Jens-Dominik Müller
2018	B	`conf`	Vectorised Computation of Diverging Ensembles. ICPP Jan Hückelheim, Paul D. Hovland, Sri Hari Krishna Narayanan, Paulius Velesko
2018	B	`conf`	Verifying Properties of Differentiable Programs. SAS Jan Hückelheim, Ziqing Luo, Sri Hari Krishna Narayanan, Stephen F. Siegel, Paul D. Hovland
2017	J	`jnl`	Report of the HPC Correctness Summit, Jan 25-26, 2017, Washington, DC. CoRR Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu, Sriram Krishnamoorthy, Ignacio Laguna, Richard A. Lethin, Koushik Sen, Stephen F. Siegel, Armando Solar-Lezama
2017	—	`conf`	Towards Self-Verification in Finite Difference Code Generation. CORRECTNESS@SC Jan Hückelheim, Ziqing Luo, Fabio Luporini, Navjot Kukreja, Michael Lange, Gerard Gorman, Stephen F. Siegel, Matthew B. Dwyer, Paul D. Hovland
2016	C	`conf`	AutoMOMML: Automatic Multi-objective Modeling with Machine Learning. ISC Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild, Laura Carrington, Paul D. Hovland
2016	—	`conf`	Edge Pushing is Equivalent to Vertex Elimination for Computing Hessians. CSC Mu Wang, Alex Pothen, Paul D. Hovland
2016	—	`conf`	Exploiting Performance Portability in Search Algorithms for Autotuning. IPDPS Workshops Amit Roy, Prasanna Balaprakash, Paul D. Hovland, Stefan M. Wild
2016	J	`jnl`	Optimal Multistage Algorithm for Adjoint Computation. SIAM J. Sci. Comput. Guillaume Aupy, Julien Herrmann, Paul D. Hovland, Yves Robert
2015	Misc	`conf`	Autotuning FPGA Design Parameters for Performance and Power. FCCM Azamat Mametjanov, Prasanna Balaprakash, Chekuri Choudary, Paul D. Hovland, Stefan M. Wild, Gerald Sabin
2015	C	`conf`	Collective I/O Tuning Using Analytical and Machine Learning Models. CLUSTER Florin Isaila, Prasanna Balaprakash, Stefan M. Wild, Dries Kimpe, Robert Latham, Robert B. Ross, Paul D. Hovland
2015	B	`conf`	Generating Efficient Tensor Contractions for GPUs. ICPP Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary W. Hall, Paul D. Hovland, Elizabeth R. Jessup, Boyana Norris
2014	—	`conf`	Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. PMBS@SC Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland
2014	C	`conf`	Energy-performance tradeoffs in multilevel checkpoint strategies. CLUSTER Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland
2013	—	`conf`	Empirical performance modeling of GPU kernels using active learning. PARCO Prasanna Balaprakash, Karl Rupp, Azamat Mametjanov, Robert B. Gramacy, Paul D. Hovland, Stefan M. Wild
2013	B	`conf`	Exascale workload characterization and architecture implications. ISPASS Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris
2013	—	`conf`	Exascale workload characterization and architecture implications. SpringSim (HPC) Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris
2013	J	`jnl`	Software Abstractions and Methodologies for HPC Simulation Codes on Future Architectures. CoRR 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
2012	—	`conf`	Abstract: An Exascale Workload Study. SC Companion Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris
2012	—	`conf`	An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning. VECPAR Prasanna Balaprakash, Stefan M. Wild, Paul D. Hovland
2012	—	`conf`	Poster: An Exascale Workload Study. SC Companion Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris
2011	Misc	`conf`	Can search algorithms save large-scale automatic performance tuning? ICCS Prasanna Balaprakash, Stefan M. Wild, Paul D. Hovland
2011	Misc	`conf`	Sparse Jacobian Computation Using ADIC2 and ColPack. ICCS Sri Hari Krishna Narayanan, Boyana Norris, Paul D. Hovland, Duc C. Nguyen, Assefaw Hadish Gebremedhin
2010	—	`ch.`	Autotuning and Specialization: Speeding up Matrix Multiply for Small Matrices with Compiler Technology. Software Automatic Tuning, From Concepts to State-of-the-Art Results Jaewook Shin, Mary W. Hall, Jacqueline Chame, Chun Chen, Paul D. Hovland
2010	—	`conf`	Generating Performance Bounds from Source Code. ICPP Workshops Sri Hari Krishna Narayanan, Boyana Norris, Paul D. Hovland
2010	A	`conf`	Speeding up Nek5000 with autotuning and specialization. ICS Jaewook Shin, Mary W. Hall, Jacqueline Chame, Chun Chen, Paul F. Fischer, Paul D. Hovland
2009	—	`ch.`	Automatic Differentiation: Parallel Computation. Encyclopedia of Optimization Christian H. Bischof, Paul D. Hovland
2009	—	`conf`	Evaluation of Hierarchical Mesh Reorderings. ICCS (1) Michelle Mills Strout, Nissa Osheim, Dave Rostron, Paul D. Hovland, Alex Pothen
2009	—	`conf`	Improving Random Walk Performance. CSC Ilya Safro, Paul D. Hovland, Jaewook Shin, Michelle Mills Strout
2009	A	`conf`	Toward adjoinable MPI. IPDPS Jean Utke, Laurent Hascoët, Patrick Heimbach, Chris Hill, Paul D. Hovland, Uwe Naumann
2008	—	`conf`	A Framework for Proving Correctness of Adjoint Message-Passing Programs. PVM/MPI Uwe Naumann, Laurent Hascoët, Chris Hill, Paul D. Hovland, Jan Riehme, Jean Utke
2008	—	`conf`	Improving the Performance of Graph Coloring Algorithms through Backtracking. ICCS (1) Sanjukta Bhowmick, Paul D. Hovland
2008	J	`jnl`	On the implementation of automatic differentiation tools. High. Order Symb. Comput. Christian H. Bischof, Paul D. Hovland, Boyana Norris
2007	Misc	`conf`	Comparison of two activity analyses for automatic differentiation: context-sensitive flow-insensitive vs. context-insensitive flow-sensitive. SAC Jaewook Shin, Paul D. Hovland
2006	B	`conf`	Data-Flow Analysis for MPI Programs. ICPP Michelle Mills Strout, Barbara Kreaseck, Paul D. Hovland
2006	Misc	`conf`	Hybrid Static/Dynamic Activity Analysis. International Conference on Computational Science (4) Barbara Kreaseck, Luis Ramos, Scott Easterday, Michelle Mills Strout, Paul D. Hovland
2006	Misc	`conf`	Linearity Analysis for Automatic Differentiation. International Conference on Computational Science (4) Michelle Mills Strout, Paul D. Hovland
2006	—	`conf`	Term Graphs for Computing Derivatives in Imperative Languages. TERMGRAPH@ETAPS Paul D. Hovland, Boyana Norris, Michelle Mills Strout, Jean Utke
2005	J	`jnl`	Making automatic differentiation truly automatic: coupling PETSc with ADIC. Future Gener. Comput. Syst. Paul D. Hovland, Boyana Norris, Barry F. Smith
2005	—	`conf`	Representation-independent program analysis. PASTE Michelle Mills Strout, John M. Mellor-Crummey, Paul D. Hovland
2004	—	`conf`	Metrics and models for reordering transformations. Memory System Performance Michelle Mills Strout, Paul D. Hovland
2002	C	`conf`	Implementation of automatic differentiation tools. PEPM Christian H. Bischof, Paul D. Hovland, Boyana Norris
2002	Misc	`conf`	Making Automatic Differentiation Truly Automatic: Coupling PETSc with ADIC. International Conference on Computational Science (2) Paul D. Hovland, Boyana Norris, Barry F. Smith
2002	J	`jnl`	Parallel components for PDEs and optimization: some issues and experiences. Parallel Comput. Boyana Norris, Satish Balay, Steven Benson, Lori A. Freitag, Paul D. Hovland, Lois C. McInnes, Barry F. Smith
2001	A	`conf`	A Distributed Application Server for Automatic Differentiation. IPDPS Boyana Norris, Paul D. Hovland
2001	J	`jnl`	Parallel simulation of compressible flow using automatic differentiation and PETSc. Parallel Comput. Paul D. Hovland, Lois C. McInnes
2000	—	`conf`	On Combining Computational Differentiation and Toolkits for Parallel Scientific Computing. Euro-Par Christian H. Bischof, H. Martin Bücker, Paul D. Hovland
1999	Misc	`conf`	Infrastructure and Interfaces for Large-Scale Numerical Software. PDPTA Lori A. Freitag, William Gropp, Paul D. Hovland, Lois C. McInnes, Barry F. Smith
1999	—	`conf`	Solving Nonlinear PDEs Using PETSc and Automatic Differentiation. PP Paul D. Hovland, Lois C. McInnes, Barry F. Smith
1998	—	`conf`	Automatic Differentiation for Message-Passing Parallel Programs. IPPS/SPDP Paul D. Hovland, Christian H. Bischof
1997	—	`—`	Automatic Differentiation of Parallel Programs Paul D. Hovland
1997	—	`conf`	Automatic Differentiation of a Parallel Molecular Dynamics Application. PP Paul D. Hovland, Christian H. Bischof, Lucas Roh
1997	J	`jnl`	Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics. SIAM J. Sci. Comput. Paul D. Hovland, Christian H. Bischof, Donna Spiegelman, Mario Casella
1993	—	`conf`	A Model for Automatic Dta Partitioning. ICPP (2) Paul D. Hovland, Lionel M. Ni
1993	—	`conf`	Further Research on Feature Selection and Classification Using Genetic Algorithms. ICGA William F. Punch III, Erik D. Goodman, Min Pei, Lai Chia-Shun, Paul D. Hovland, Richard J. Enbody
1992	J	`jnl`	ADIFOR - Generating Derivative Codes form Fortran Programs. Sci. Program. Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, Paul D. Hovland