Todd S. Munson

Orcid: 0000-0002-0030-3648

Affiliations:
  • Argonne National Laboratory, IL, USA


According to our database1, Todd S. Munson authored at least 69 papers between 1999 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PETSc/TAO Developments for Early Exascale Systems.
CoRR, 2024

2023
Robust A-Optimal Experimental Design for Bayesian Inverse Problems.
CoRR, 2023

2022
The PetscSF Scalable Communication Layer.
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

The PETSc Community as Infrastructure.
Comput. Sci. Eng., 2022

The PETSc Community Is the Infrastructure.
CoRR, 2022

A codesign framework for online data analysis and reduction.
Concurr. Comput. Pract. Exp., 2022

Message from the DRBSD-8 Workshop Chairs.
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

Toward performance-portable PETSc for GPU-based exascale systems.
Parallel Comput., 2021

Minotaur: a mixed-integer nonlinear optimization toolkit.
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

ExaWorks: Workflows for Exascale.
CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2021

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021

Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments.
CoRR, 2021

ExaWorks: Workflows for Exascale.
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

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020
A survey of nonlinear robust optimization.
INFOR Inf. Syst. Oper. Res., 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

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2020

Feature-preserving Lossy Compression for In Situ Data Analysis.
Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

2019
PyDDA: A new Pythonic Wind Retrieval Package.
Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

A Codesign Framework for Online Data Analysis and Reduction.
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

Preconditioning Nonlinear Conjugate Gradient with Diagonalized Quasi-Newton.
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

Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization.
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


2017
Platoon formation maximization through centralized routing and departure time coordination.
CoRR, 2017

Scalable In situ Analysis of Molecular Dynamics Simulations.
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Exacution: Enhancing Scientific Data Management for Exascale.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
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

Coordinated Platoon Routing in a Metropolitan Network.
Proceedings of the 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2016

Optimal execution of co-analysis for large-scale molecular dynamics simulations.
Proceedings of the International Conference for High Performance Computing, 2016

2015
Optimal scheduling of in-situ analysis for large-scale scientific simulations.
Proceedings of the International Conference for High Performance Computing, 2015

Visualizing and Improving the Robustness of Phase Retrieval Algorithms.
Proceedings of the International Conference on Computational Science, 2015

Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q.
Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

2014
Addressing failures in exascale computing.
Int. J. High Perform. Comput. Appl., 2014

2013
A New Perspective on Convex Relaxations of Sparse SVM.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

2012
A pivoting algorithm for linear programming with linear complementarity constraints.
Optim. Methods Softw., 2012

2011
Advancing Nuclear Physics Through TOPS Solvers and Tools
CoRR, 2011

2010
Solving multi-leader-common-follower games.
Optim. Methods Softw., 2010

2008
Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server.
INFORMS J. Comput., 2008

2007
Mesh shape-quality optimization using the inverse mean-ratio metric.
Math. Program., 2007

2006
Optimality Measures for Performance Profiles.
SIAM J. Optim., 2006

Flexible complementarity solvers for large-scale applications.
Optim. Methods Softw., 2006

A comparison of two optimization methods for mesh quality improvement.
Eng. Comput., 2006

Leader-Follower Equilibria for Electric Power and NO<sub> <i>x</i> </sub> Allowances Markets.
Comput. Manag. Sci., 2006

2004
Computing mountain passes and transition states.
Math. Program., 2004

Semismooth support vector machines.
Math. Program., 2004

A Comparison of Inexact Newton and Coordinate Descent Mesh Optimization Techniques.
Proceedings of the 13th International Meshing Roundtable, 2004

2002
Interior-Point Methods for Massive Support Vector Machines.
SIAM J. Optim., 2002

A Comparison Of Optimization Software For Mesh Shape-Quality Improvement Problems.
Proceedings of the 11th International Meshing Roundtable, 2002

2001
The Semismooth Algorithm for Large Scale Complementarity Problems.
INFORMS J. Comput., 2001

2000
Modeling languages and Condor: metacomputing for optimization.
Math. Program., 2000

A practical approach to sample-path simulation optimization.
Proceedings of the 32nd conference on Winter simulation, 2000

1999
Feasible descent algorithms for mixed complementarity problems.
Math. Program., 1999

Interfaces to PATH 3.0: Design, Implementation and Usage.
Comput. Optim. Appl., 1999


  Loading...