Todd S. Munson

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 48

Top Topics

Experimental Design

Nonlinear Optimization

Molecular Dynamics

Top Venues

Int. J. High Perform. Comput. Appl.

SIAM J. Sci. Comput.

Publications

Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Jacob Faibussowitsch, Toby Isaac, Matthew G. Knepley, Todd S. Munson, Hansol Suh, Stefano Zampini, Hong Zhang, Junchao Zhang
PETSc/TAO Developments for Early Exascale Systems. CoRR (2024)
Ahmed Attia, Sven Leyffer, Todd S. Munson
Robust A-Optimal Experimental Design for Bayesian Inverse Problems. CoRR (2023)
Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER (2022)
Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang
The PETSc Community Is the Infrastructure. CoRR (2022)
Ryan H. Vogt, Sven Leyffer, Todd S. Munson
A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking. SIAM J. Sci. Comput. 44 (1) (2022)
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini
The PetscSF Scalable Communication Layer. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. IPDPS (2022)
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC (2022)
Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34 (14) (2022)
Ahmed Attia, Sven Leyffer, Todd S. Munson
Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM J. Sci. Comput. 44 (2) (2022)
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang
The PETSc Community as Infrastructure. Comput. Sci. Eng. 24 (3) (2022)
Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang
Toward performance-portable PETSc for GPU-based exascale systems. Parallel Comput. 108 (2021)
Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC (2021)
Alexander Brace, Hyungro Lee, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. CoRR (2021)
Ashutosh Mahajan, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Todd S. Munson
Minotaur: a mixed-integer nonlinear optimization toolkit. Math. Program. Comput. 13 (2) (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini
The PetscSF Scalable Communication Layer. CoRR (2021)
Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak
ExaWorks: Workflows for Exascale. WORKS (2021)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27 (8) (2021)
Ahmed Attia, Sven Leyffer, Todd S. Munson
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. CoRR (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS (2021)
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR (2021)
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan Williams, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR (2021)
Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak
ExaWorks: Workflows for Exascale. CoRR (2021)
Sven Leyffer, Matt Menickelly, Todd S. Munson, Charlie Vanaret, Stefan M. Wild
A survey of nonlinear robust optimization. INFOR Inf. Syst. Oper. Res. 58 (2) (2020)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR (2020)
Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang
Toward Performance-Portable PETSc for GPU-based Exascale Systems. CoRR (2020)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2020)
Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson
Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops (2020)
Alp Dener, Marco Andres Miller, Randy Michael Churchill, Todd S. Munson, Choong-Seock Chang
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach. CoRR (2020)
Michael Retzlaff, Todd S. Munson, Zichao (Wendy) Di
Data Compression for Optimization of a Molecular Dynamics System: Preserving Basins of Attraction. ICCS (3) (2019)
Alp Dener, Todd S. Munson
Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization. ICCS (3) (2019)
Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC (2019)
Alp Dener, Adam Denchfield, Todd S. Munson
Preconditioning Nonlinear Conjugate Gradient with Diagonalized Quasi-Newton. PASC (2019)
Robert Jackson, Scott Collis, Timothy Lang, Corey K. Potvin, Todd S. Munson
PyDDA: A new Pythonic Wind Retrieval Package. SciPy (2019)
Preeti Malakar, Todd S. Munson, Christopher Knight, Venkatram Vishwanath, Michael E. Papka
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. SC (2018)
Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience (2018)
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS (2017)
Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka
Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC (2017)
Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski
Platoon formation maximization through centralized routing and departure time coordination. CoRR (2017)
Fu Lin, Sven Leyffer, Todd S. Munson
A two-level approach to large mixed-integer programs with application to cogeneration in energy-efficient buildings. Comput. Optim. Appl. 65 (1) (2016)
Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka
Optimal execution of co-analysis for large-scale molecular dynamics simulations. SC (2016)
Jeffrey Larson, Todd S. Munson, Vadim Sokolov
Coordinated Platoon Routing in a Metropolitan Network. CSC (2016)
Huy Bui, Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Eun-Sung Jung, Andrew E. Johnson, Michael E. Papka, Jason Leigh
Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q. HiPC (2015)
Ashish Tripathi, Sven Leyffer, Todd S. Munson, Stefan M. Wild
Visualizing and Improving the Robustness of Phase Retrieval Algorithms. ICCS (2015)
Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael E. Papka
Optimal scheduling of in-situ analysis for large-scale scientific simulations. SC (2015)
Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V. Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan DeBardeleben, Pedro C. Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson, Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd S. Munson, Rob Schreiber, Jon Stearley, Eric Van Hensbergen
Addressing failures in exascale computing. Int. J. High Perform. Comput. Appl. 28 (2) (2014)
Noam Goldberg, Sven Leyffer, Todd S. Munson
A New Perspective on Convex Relaxations of Sparse SVM. SDM (2013)
Haw-ren Fang, Sven Leyffer, Todd S. Munson
A pivoting algorithm for linear programming with linear complementarity constraints. Optim. Methods Softw. 27 (1) (2012)
Esmond G. Ng, Jason Sarich, Stefan M. Wild, Todd S. Munson, Hasan Metin Aktulga, Chao Yang, Pieter Maris, James P. Vary, Nicolas Schunck, M. G. Bertolli, Markus Kortelainen, Witold Nazarewicz, Thomas Papenbrock, M. V. Stoitsov
Advancing Nuclear Physics Through TOPS Solvers and Tools CoRR (2011)
Sven Leyffer, Todd S. Munson
Solving multi-leader-common-follower games. Optim. Methods Softw. 25 (4) (2010)
Elizabeth D. Dolan, Robert Fourer, Jean-Pierre Goux, Todd S. Munson, Jason Sarich
Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server. INFORMS J. Comput. 20 (4) (2008)
Todd S. Munson
Mesh shape-quality optimization using the inverse mean-ratio metric. Math. Program. 110 (3) (2007)
Elizabeth D. Dolan, Jorge J. Moré, Todd S. Munson
Optimality Measures for Performance Profiles. SIAM J. Optim. 16 (3) (2006)
Steven J. Benson, Todd S. Munson
Flexible complementarity solvers for large-scale applications. Optim. Methods Softw. 21 (1) (2006)
Yihsu Chen, Benjamin F. Hobbs, Sven Leyffer, Todd S. Munson
Allowances Markets. Comput. Manag. Sci. 3 (4) (2006)
Lori Freitag Diachin, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz
A comparison of two optimization methods for mesh quality improvement. Eng. Comput. 22 (2) (2006)
Lori Freitag Diachin, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz
A Comparison of Inexact Newton and Coordinate Descent Mesh Optimization Techniques. IMR (2004)
Michael C. Ferris, Todd S. Munson
Semismooth support vector machines. Math. Program. 101 (1) (2004)
Jorge J. Moré, Todd S. Munson
Computing mountain passes and transition states. Math. Program. 100 (1) (2004)
Michael C. Ferris, Todd S. Munson
Interior-Point Methods for Massive Support Vector Machines. SIAM J. Optim. 13 (3) (2002)
Lori A. Freitag, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz
A Comparison Of Optimization Software For Mesh Shape-Quality Improvement Problems. IMR (2002)
Todd S. Munson, Francisco Facchinei, Michael C. Ferris, Andreas Fischer, Christian Kanzow
The Semismooth Algorithm for Large Scale Complementarity Problems. INFORMS J. Comput. 13 (4) (2001)
Michael C. Ferris, Todd S. Munson
Modeling languages and Condor: metacomputing for optimization. Math. Program. 88 (3) (2000)
Michael C. Ferris, Todd S. Munson, Krung Sinapiromsaran
A practical approach to sample-path simulation optimization. WSC (2000)
Michael C. Ferris, Todd S. Munson
Interfaces to PATH 3.0: Design, Implementation and Usage. Comput. Optim. Appl. 12 (1-3) (1999)
Michael C. Ferris, Christian Kanzow, Todd S. Munson
Feasible descent algorithms for mixed complementarity problems. Math. Program. 86 (3) (1999)