Todd S. Munson
Orcid: 0000-0002-0030-3648Affiliations:
- Argonne National Laboratory, IL, USA
According to our database1,
Todd S. Munson
authored at least 68 papers
between 1999 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on mcs.anl.gov
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on orcid.org
On csauthors.net:
Bibliography
2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst., 2022
A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking.
SIAM J. Sci. Comput., 2022
Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments.
SIAM J. Sci. Comput., 2022
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022
Concurr. Comput. Pract. Exp., 2022
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.
IEEE Trans. Vis. Comput. Graph., 2021
Parallel Comput., 2021
Math. Program. Comput., 2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021
CoRR, 2021
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.
CoRR, 2021
CoRR, 2021
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments.
CoRR, 2021
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
2020
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
CoRR, 2020
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach.
CoRR, 2020
CoRR, 2020
Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020
2019
Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019
Data Compression for Optimization of a Molecular Dynamics System: Preserving Basins of Attraction.
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations.
Proceedings of the International Conference for High Performance Computing, 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
2017
Platoon formation maximization through centralized routing and departure time coordination.
CoRR, 2017
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
2016
A two-level approach to large mixed-integer programs with application to cogeneration in energy-efficient buildings.
Comput. Optim. Appl., 2016
Proceedings of the 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2016
Proceedings of the International Conference for High Performance Computing, 2016
2015
Proceedings of the International Conference for High Performance Computing, 2015
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015
2014
2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
2012
Optim. Methods Softw., 2012
2011
2010
2008
INFORMS J. Comput., 2008
2007
Math. Program., 2007
2006
Optim. Methods Softw., 2006
Eng. Comput., 2006
Leader-Follower Equilibria for Electric Power and NO<sub> <i>x</i> </sub> Allowances Markets.
Comput. Manag. Sci., 2006
2004
Proceedings of the 13th International Meshing Roundtable, 2004
2002
Proceedings of the 11th International Meshing Roundtable, 2002
2001
INFORMS J. Comput., 2001
2000
Proceedings of the 32nd conference on Winter simulation, 2000
1999