David Pugmire

Orcid: 0000-0003-0647-2634

According to our database1, David Pugmire authored at least 82 papers between 1995 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.
IEEE Trans. Vis. Comput. Graph., January, 2025

2024
A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations.
IEEE Trans. Vis. Comput. Graph., January, 2024

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead.
CoRR, 2024

An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations.
Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

Uncertainty-Informed Volume Visualization using Implicit Neural Representation.
Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

FunM<sup>2</sup>C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices.
Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

A Personalized AI Assistant For Intuition-Driven Visual Explorations.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
State-of-the-Art Report on Optimizing Particle Advection Performance.
Comput. Graph. Forum, June, 2023

Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models.
IEEE Trans. Vis. Comput. Graph., 2023

VTK-m: Visualization for the Exascale Era and Beyond.
Proceedings of the ACM SIGGRAPH 2023 Talks, 2023

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

FunMC<sup>2</sup>: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices.
Proceedings of the 23rd Eurographics Symposium on Parallel Graphics and Visualization, 2023

2022
Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst., 2022

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers, 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022

A Guide to Particle Advection Performance.
CoRR, 2022

Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

The Need for Pervasive In Situ Analysis and Visualization (P-ISAV).
Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 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
Minimizing development costs for efficient many-core visualization using MCD<sup>3</sup>.
Parallel Comput., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

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

Fides: A General Purpose Data Model Library for Streaming Data.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 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

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
Proceedings of the International Conference for High Performance Computing, 2021

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

Machine Learning-Based Autotuning for Parallel Particle Advection.
Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data.
Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020

A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020

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

Towards 1ULP evaluation of Daubechies Wavelets.
CoRR, 2020

The moving target of visualization software for an increasingly complex world.
Comput. Graph., 2020

Opportunities for Cost Savings with In-Transit Visualization.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Visualization as a Service for Scientific Data.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

Parallel Particle Advection Bake-Off for Scientific Visualization Workloads.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
Comparing the Efficiency of In Situ Visualization Paradigms at Scale.
Proceedings of the High Performance Computing - 34th International Conference, 2019

In situ particle advection via parallelizing over particles.
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019

A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection.
Proceedings of the 9th IEEE Symposium on Large Data Analysis and Visualization, 2019

2018
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation.
Proceedings of the High Performance Computing, 2018

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
Proceedings of the High Performance Computing, 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Performance-Portable Particle Advection with VTK-m.
Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018

Dense Texture Flow Visualization using Data-Parallel Primitives.
Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018


2017
Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

In Situ Visualization of Radiation Transport Geometry.
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

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.
Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers.
Supercomput. Front. Innov., 2016

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures.
IEEE Computer Graphics and Applications, 2016

Performance modeling of in situ rendering.
Proceedings of the International Conference for High Performance Computing, 2016

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code.
Proceedings of the Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2016

Tuned to Terrible: A Study of Parallel Particle Advection State of the Practice.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay.
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

2013
A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data.
Technometrics, 2013

Ultrascale Visualization of Climate Data.
Computer, 2013

Exploring Collaborative HPC Visualization Workflows using VisIt and Python.
Proceedings of the 12th Python in Science Conference, 2013

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting.
Proceedings of the 13th Eurographics Symposium on Parallel Graphics and Visualization, 2013

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.
Proceedings of the 9th IEEE International Conference on eScience, 2013

2012
Parallel stream surface computation for large data sets.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

EAVL: The Extreme-scale Analysis and Visualization Library.
Proceedings of the 12th Eurographics Symposium on Parallel Graphics and Visualization, 2012

Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

Collaborative monitoring and visualization of HPC data.
Proceedings of the 2012 International Conference on Collaboration Technologies and Systems, 2012

A distributed data-parallel framework for analysis and visualization algorithm development.
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, 2012

Parallel Integral Curves.
Proceedings of the High Performance Visualization, 2012

Visualization at Extreme Scale Concurrency.
Proceedings of the High Performance Visualization, 2012


Hybrid Parallelism.
Proceedings of the High Performance Visualization, 2012

2011
Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture.
IEEE Trans. Vis. Comput. Graph., 2011

Magnetic field outflows from active galactic nuclei.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

2010
Analysis of Recurrent Patterns in Toroidal Magnetic Fields.
IEEE Trans. Vis. Comput. Graph., 2010

Extreme Scaling of Production Visualization Software on Diverse Architectures.
IEEE Computer Graphics and Applications, 2010

2009
Scalable computation of streamlines on very large datasets.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2007
NPU-Based Image Compositing in a Distributed Visualization System.
IEEE Trans. Vis. Comput. Graph., 2007

1995
Visual Interfaces for Solids Modeling.
Proceedings of the 8th Annual ACM Symposium on User Interface Software and Technology, 1995


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