Fast data parallel polygon rendering. - Frank A. Ortega; Charles D. Hansen; James P. Ahrens (SC, 1993)

Cost-Effective Data-Parallel Load Balancing. - James P. Ahrens; Charles D. Hansen (ICPP (2), 1995)

A Visual Database Environment for Scientific Research. - Rex M. Jakobovits; Lara M. Lewis; James P. Ahrens; Linda G. Shapiro; Steven L. Tanimoto; James F. Brinkley (J. Vis. Lang. Comput., 1996)

Wildfire visualization (case study). - James P. Ahrens; Patrick S. McCormick; James Bossert; Jon Reisner; Judith Winterkamp (IEEE Visualization, 1997)

Multi-source data analysis challenges. - Samuel P. Uselton; Lloyd Treinish; James P. Ahrens; E. Wes Bethel; Andrei State (IEEE Visualization, 1998)

Visualization of Wildfire Simulations. - Patrick S. McCormick; James P. Ahrens (IEEE Computer Graphics and Applications, 1998)

An Evolving Infrastructure to Support Accelerated Strategic Computing Initiative (ASCI) Multi-Source Visualization and Data Analysis Needs. - James P. Ahrens; Patrick S. McCormick; Allen McPherson; Jamie Painter (PP, 1999)

Next-generation visualization displays: the research challenges of building tiled displays (panel session). - James P. Ahrens; Kai Li 001; Daniel A. Reed (IEEE Visualization, 2000)

Ligature: Component Architecture for High Performance Applications. - Katarzyna Keahey; Peter H. Beckman; James P. Ahrens (Int. J. High Perform. Comput. Appl., 2000)

An application architecture for large data visualization: a case study. - C. Charles Law; Amy Henderson; James P. Ahrens (IEEE Symposium on Parallel and Large-Data Visualization and Graphics, 2001)

Large-Scale Data Visualization Using Parallel Data Streaming. - James P. Ahrens; Kristi Brislawn; Ken Martin; Berk Geveci; C. Charles Law; Michael E. Papka (IEEE Computer Graphics and Applications, 2001)

Interactive Texture-Based Volume Rendering for Large Data Sets. - Joe Kniss; Patrick S. McCormick; Allen McPherson; James P. Ahrens; James S. Painter; Alan Keahey; Charles D. Hansen (IEEE Computer Graphics and Applications, 2001)

SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering. - Aleksander Stompel; Kwan-Liu Ma; Eric B. Lum; James P. Ahrens; John Patchett (IEEE Symposium on Parallel and Large-Data Visualization and Graphics, 2003)

Interoperability of Visualization Software and Data Models is NOT an Achievable Goal. - E. Wes Bethel; Greg Abram; John Shalf; Randy Frank; James P. Ahrens; Steven G. Parker; Nagiza F. Samatova; Mark C. Miller (IEEE Visualization, 2003)

Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis. - Patrick S. McCormick; Jeff T. Inman; James P. Ahrens; Charles D. Hansen; Greg Roth (IEEE Visualization, 2004)

ParaView: An End-User Tool for Large-Data Visualization. - James P. Ahrens; Berk Geveci; C. Charles Law (The Visualization Handbook, 2005)

Large-Scale Data Visualization and Rendering: A Problem-Driven Approach. - Patrick S. McCormick; James P. Ahrens (The Visualization Handbook, 2005)

Time-varying, multivariate volume data reduction. - Nathaniel Fout; Kwan-Liu Ma; James P. Ahrens (SAC, 2005)

Remote Large Data Visualization in the ParaView Framework. - Andy Cedilnik; Berk Geveci; Kenneth Moreland; James P. Ahrens; Jean M. Favre (EGPGV@EuroVis/EGVE, 2006)

Ultra-scale visualization - Workshop on ultra-scale visualization. - James P. Ahrens; Hank Childs; John P. Clyne; Wes Bethel; Jian Huang 007; Scott Klasky; Kwan-Liu Ma; Kenneth Moreland; Michael E. Papka; Valerio Pascucci; Han-Wei Shen; Deborah Silver (SC, 2006)

A modular extensible visualization system architecture for culled prioritized data streaming. - James P. Ahrens; Nehal Desai; Patrick S. McCormick; Ken Martin; Jonathan Woodring (Visualization and Data Analysis, 2007)

Scout: a data-parallel programming language for graphics processors. - Patrick S. McCormick; Jeff T. Inman; James P. Ahrens; Jamaludin Mohd-Yusof; Greg Roth; Sharen J. Cummins (Parallel Comput., 2007)

A First Study on Clustering Collections of Workflow Graphs. - Emanuele Santos; Lauro Didier Lins; James P. Ahrens; Juliana Freire; Cláudio T. Silva (IPAW, 2008)

Provenance in Comparative Analysis: A Study in Cosmology. - Erik W. Anderson; James P. Ahrens; Katrin Heitmann; Salman Habib 002; Cláudio T. Silva (Comput. Sci. Eng., 2008)

VisMashup: Streamlining the Creation of Custom Visualization Applications. - Emanuele Santos; Lauro Didier Lins; James P. Ahrens; Juliana Freire; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2009)

Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization. - Chung-Hsing Hsu; James P. Ahrens; Katrin Heitmann (PacificVis, 2010)

Verifying Scientific Simulations via Comparative and Quantitative Visualization. - James P. Ahrens; Katrin Heitmann; Mark R. Petersen; Jonathan Woodring; Sean Williams; Patricia K. Fasel; Christine Ahrens; Chung-Hsing Hsu; Berk Geveci (IEEE Computer Graphics and Applications, 2010)

Guest Editors' Introduction: Ultrascale Visualization. - James P. Ahrens; Han-Wei Shen (IEEE Computer Graphics and Applications, 2010)

Revisiting Parallel Rendering for Shared Memory Machines. - Boonthanome Nouanesengsy; James P. Ahrens; Jonathan Woodring; Han-Wei Shen (EGPGV@Eurographics, 2011)

VisIO: Enabling Interactive Visualization of Ultra-Scale, Time Series Data via High-Bandwidth Distributed I/O Systems. - Christopher Mitchell; James P. Ahrens; Jun Wang 001 (IPDPS, 2011)

Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision. - Jonathan Woodring; Susan M. Mniszewski; Christopher M. Brislawn; David E. DeMarle; James P. Ahrens (LDAV, 2011)

Visualization and Analysis of Eddies in a Global Ocean Simulation. - Sean Williams; Matthew Hecht; Mark R. Petersen; Richard Strelitz; Mathew Maltrud; James P. Ahrens; Mario Hlawitschka; Bernd Hamann (Comput. Graph. Forum, 2011)

In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis. - Jonathan Woodring; James P. Ahrens; J. Figg; Joanne Wendelberger; Salman Habib 002; Katrin Heitmann (Comput. Graph. Forum, 2011)

Data-Intensive Science in the US DOE: Case Studies and Future Challenges. - James P. Ahrens; Bruce Hendrickson; Gabrielle Long; Steve Miller; Robert B. Ross; Dean N. Williams (Comput. Sci. Eng., 2011)

Adaptive Extraction and Quantification of Geophysical Vortices. - Sean Williams; Mark R. Petersen; Peer-Timo Bremer; Matthew Hecht; Valerio Pascucci; James P. Ahrens; Mario Hlawitschka; Bernd Hamann (IEEE Trans. Vis. Comput. Graph., 2011)

The ParaView Visualization Application. - Utkarsh Ayachit; Berk Geveci; Kenneth Moreland; John Patchett; Jim Ahrens (High Performance Visualization, 2012)

Streaming and Out-of-Core Methods. - David E. DeMarle; Berk Geveci; Jon Woodring; Jim Ahrens (High Performance Visualization, 2012)

Analyzing the evolution of large scale structures in the universe with velocity based methods. - Uliana Popov; Eddy Chandra; Katrin Heitmann; Salman Habib 002; James P. Ahrens; Alex Pang (PacificVis, 2012)

A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications. - Carson Brownlee; John Patchett; Li-Ta Lo; David E. DeMarle; Christopher Mitchell; James P. Ahrens; Charles D. Hansen (EGPGV@Eurographics, 2012)

PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators. - Li-Ta Lo; Christopher M. Sewell; James P. Ahrens (EGPGV@Eurographics, 2012)

Jitter-free co-processing on a prototype exascale storage stack. - John Bent; Sorin Faibish; Jim Ahrens; Gary Grider; John Patchett; Percy Tzelnic; Jon Woodring (MSST, 2012)

The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures. - Christopher M. Sewell; Jeremy S. Meredith; Kenneth Moreland; Tom Peterka; David E. DeMarle; Li-Ta Lo; James P. Ahrens; Robert Maynard; Berk Geveci (SC Companion, 2012)

Subband coding for large-scale scientific simulation data using JPEG 2000. - Christopher M. Brislawn; Jonathan Woodring; Susan M. Mniszewski; David E. DeMarle; James P. Ahrens (SSIAI, 2012)

Interface Exchange as an Indicator for Eddy Heat Transport. - Sean Williams; Mark R. Petersen; Matthew Hecht; Mathew Maltrud; John Patchett; James P. Ahrens; Bernd Hamann (Comput. Graph. Forum, 2012)

Guest Editor's Introduction: Special Section on the Eurographics Symposium on Parallel Graphics and Visualization (EGPGV). - James P. Ahrens; Kurt Debattista (IEEE Trans. Vis. Comput. Graph., 2012)

Taming massive distributed datasets: data sampling using bitmap indices. - Yu Su 011; Gagan Agrawal; Jonathan Woodring; Kary L. Myers; Joanne Wendelberger; James P. Ahrens (HPDC, 2013)

Portable data-parallel visualization and analysis in distributed memory environments. - Christopher M. Sewell; Li-Ta Lo; James P. Ahrens (LDAV, 2013)

A model for optimizing file access patterns using spatio-temporal parallelism. - Boonthanome Nouanesengsy; John Patchett; James P. Ahrens; Andrew C. Bauer; Aashish Chaudhary; Ross Miller; Berk Geveci; Galen M. Shipman; Dean N. Williams (UltraVis@SC, 2013)

On-demand unstructured mesh translation for reducing memory pressure during in situ analysis. - Jonathan Woodring; James P. Ahrens; Timothy J. Tautges; Tom Peterka; Venkatram Vishwanath; Berk Geveci (UltraVis@SC, 2013)

ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. - Boonthanome Nouanesengsy; Jonathan Woodring; John Patchett; Kary L. Myers; James P. Ahrens (LDAV, 2014)

Data-parallel halo finding with variable linking lengths. - Wathsala Widanagamaachchi; Peer-Timo Bremer; Christopher M. Sewell; Li-Ta Lo; James P. Ahrens; Valerio Pascucci (LDAV, 2014)

An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis. - James P. Ahrens; Sébastien Jourdain; Patrick O'Leary; John Patchett; David H. Rogers 001; Mark R. Petersen (SC, 2014)

Effective and efficient data sampling using bitmap indices. - Yu Su 011; Gagan Agrawal; Jonathan Woodring; Kary L. Myers; Joanne Wendelberger; James P. Ahrens (Clust. Comput., 2014)

Colormaps that Improve Perception of High-Resolution Ocean Data. - Francesca Samsel; Mark R. Petersen; Terece Geld; Greg Abram; Joanne Wendelberger; James P. Ahrens (CHI Extended Abstracts, 2015)

On the Greenness of In-Situ and Post-Processing Visualization Pipelines. - Vignesh Adhinarayanan; Wu-chun Feng; Jonathan Woodring; David H. Rogers 001; James P. Ahrens (IPDPS Workshops, 2015)

Utilizing many-core accelerators for halo and center finding within a cosmology simulation. - Christopher M. Sewell; Li-Ta Lo; Katrin Heitmann; Salman Habib 002; James P. Ahrens (LDAV, 2015)

Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach. - Christopher M. Sewell; Katrin Heitmann; Hal Finkel; George Zagaris; Suzanne Parete-Koon; Patricia K. Fasel; Adrian Pope; Nicholas Frontiere; Li-Ta Lo; O. E. Bronson Messer; Salman Habib 002; James P. Ahrens (SC, 2015)

Visualization and Analysis of Large-Scale Atomistic Simulations of Plasma-Surface Interactions. - Wathsala Widanagamaachchi; Karl D. Hammond; Li-Ta Lo; Brian Wirth; Francesca Samsel; Christopher M. Sewell; James P. Ahrens; Valerio Pascucci (EuroVis (Short Papers), 2015)

Increasing Scientific Data Insights about Exascale Class Simulations under Power and Storage Constraints. - James P. Ahrens (IEEE Computer Graphics and Applications, 2015)

Animated versus static views of steady flow patterns. - Colin Ware; Daniel Bolan; Ricky Miller; David H. Rogers 001; James P. Ahrens (SAP, 2016)

Interactive Colormapping: Enabling Multiple Data Range and Detailed Views of Ocean Salinity. - Francesca Samsel; Sebastian Klaassen; Mark R. Petersen; Terece L. Turton; Gregory D. Abram; David H. Rogers 001; James P. Ahrens (CHI Extended Abstracts, 2016)

Optimizing for Visual Cognition in High Performance Scientific Computing. - Colin Ware; David H. Rogers 001; Mark R. Petersen; James P. Ahrens; Erol Aygar (HVEI, 2016)

Parallel peak pruning for scalable SMP contour tree computation. - Hamish A. Carr; Gunther H. Weber; Christopher M. Sewell; James P. Ahrens (LDAV, 2016)

Hybrid Data-Parallel Contour Tree Computation. - Hamish A. Carr; Christopher M. Sewell; Li-Ta Lo; James P. Ahrens (CGVC, 2016)

In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. - Andrew C. Bauer; Hasan Abbasi; James P. Ahrens; Hank Childs; Berk Geveci; Scott Klasky; Kenneth Moreland; Patrick O'Leary; Venkatram Vishwanath; Brad Whitlock; E. Wes Bethel (Comput. Graph. Forum, 2016)

Cinema image-based in situ analysis and visualization of MPAS-ocean simulations. - Patrick O'Leary; James P. Ahrens; Sébastien Jourdain; Scott Wittenburg; David H. Rogers 001; Mark R. Petersen (Parallel Comput., 2016)

Partitioning a Large Simulation as It Runs. - Kary L. Myers; Earl Lawrence; Michael Fugate; Claire McKay Bowen; Lawrence Ticknor; Jon Woodring; Joanne Wendelberger; Jim Ahrens (Technometrics, 2016)

In Situ Eddy Analysis in a High-Resolution Ocean Climate Model. - Jonathan Woodring; Mark R. Petersen; Andre Schmeißer; John Patchett; James P. Ahrens; Hans Hagen (IEEE Trans. Vis. Comput. Graph., 2016)

Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets. - Soumya Dutta; Jonathan Woodring; Han-Wei Shen; Jen-Ping Chen; James P. Ahrens (PacificVis, 2017)

High-dimensional scientific data exploration via cinema. - Jonathan Woodring; James P. Ahrens; John Patchett; Cameron Tauxe; David H. Rogers 001 (DSIA, 2017)

Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments. - Divya Banesh; Joseph A. Schoonover; James P. Ahrens; Bernd Hamann (EnvirVis@EuroVis, 2017)

Video Compression for Ocean Simulation Image Databases. - Anne S. Berres; Terece L. Turton; Mark R. Petersen; David H. Rogers 001; James P. Ahrens (EnvirVis@EuroVis, 2017)

Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. - Vignesh Adhinarayanan; Wu-chun Feng; David H. Rogers 001; James P. Ahrens; Scott Pakin (IPDPS, 2017)

Parallel multi-layer ghost cell generation for distributed unstructured grids. - John M. Patchett; Boonthanome Nouanesengsy; Joachim Pouderoux; James P. Ahrens; Hans Hagen (LDAV, 2017)

The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. - Matthew Larsen; James P. Ahrens; Utkarsh Ayachit; Eric Brugger; Hank Childs; Berk Geveci; Cyrus Harrison (ISAV@SC, 2017)

Cosmological Particle Data Compression in Practice. - Max Zeyen; James P. Ahrens; Hans Hagen; Katrin Heitmann; Salman Habib 002 (ISAV@SC, 2017)

In Situ and Post Processing Workflows for Asteroid Ablation Studies. - John M. Patchett; Boonthanome Nouanesengsy; Galen Gisler; James P. Ahrens; Hans Hagen (EuroVis (Short Papers), 2017)

ETK: An Evaluation Toolkit for Visualization User Studies. - Terece L. Turton; Anne S. Berres; David H. Rogers 001; James P. Ahrens (EuroVis (Short Papers), 2017)

Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. - Jieyang Chen; Qiang Guan; Xin Liang 001; Louis James Vernon; Allen McPherson; Li-Ta Lo; Zizhong Chen; James Paul Ahrens (CoRR, 2017)

Preface. - Gennady L. Andrienko; Shixia Liu; John T. Stasko; Niklas Elmqvist; Bongshin Lee; Kwan-Liu Ma; James P. Ahrens; Robert M. Kirby; Jos B. T. M. Roerdink (IEEE Trans. Vis. Comput. Graph., 2017)

Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions. - Christina Gillmann; Thomas Wischgoll; Bernd Hamann; James P. Ahrens (PacificVis, 2018)

Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. - Jieyang Chen; Qiang Guan; Xin Liang 001; Paul Bryant; Patricia Grubel; Allen McPherson; Li-Ta Lo; Timothy Randles; Zizhong Chen; James Paul Ahrens (IEEE BigData, 2018)

In situ TensorView: In situ Visualization of Convolutional Neural Networks. - Xinyu Chen; Qiang Guan; Li-Ta Lo; Simon Su; Zhengyong Ren; James Paul Ahrens; Trilce Estrada (IEEE BigData, 2018)

Change Point Detection for Ocean Eddy Analysis. - Divya Banesh; Joanne Wendelberger; Mark R. Petersen; James P. Ahrens; Bernd Hamann (EnvirVis@EuroVis, 2018)

BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. - Jieyang Chen; Qiang Guan; Zhao Zhang 007; Xin Liang 001; Louis James Vernon; Allen McPherson; Li-Ta Lo; Patricia Grubel; Tim Randles; Zizhong Chen; James P. Ahrens (ICDCS, 2018)

Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. - Greg Abram; Paul A. Navrátil; Pascal Grossett; David H. Rogers 001; James P. Ahrens (LDAV, 2018)

VOIDGA: A View-Approximation Oriented Image Database Generation Approach. - Jonas Lukasczyk; Eric Kinner; James P. Ahrens; Heike Leitte; Christoph Garth (LDAV, 2018)

In situ data-driven adaptive sampling for large-scale simulation data summarization. - Ayan Biswas; Soumya Dutta; Jesus Pulido; James P. Ahrens (ISAV@SC, 2018)

Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. - Ayan Biswas; Kelly R. Moran; Earl Lawrence; James P. Ahrens (SciVis, 2018)

Ordering Perceptions about Perceptual Order. - Roxana Bujack; Terece L. Turton; David H. Rogers 001; James P. Ahrens (SciVis, 2018)

Ocean Current Segmentation at Different Depths and Correlation with Temperature in a MPAS-Ocean Simulation. - Petra Gospodnetic; Divya Banesh; Phillip Wolfram; Mark R. Petersen; Hans Hagen; James P. Ahrens; Markus Rauhut (SciVis, 2018)

Color Interpolation for Non-Euclidean Color Spaces. - Max Zeyen; Tobias Post; Hans Hagen; James P. Ahrens; David H. Rogers 001; Roxana Bujack (SciVis, 2018)

Optimizing Scientist Time through In Situ Visualization and Analysis. - John Patchett; James P. Ahrens (IEEE Computer Graphics and Applications, 2018)

In situ TensorView: In situ Visualization of Convolutional Neural Networks. - Xinyu Chen; Qiang Guan; Li-Ta Lo; Simon Su; James P. Ahrens; Trilce Estrada (CoRR, 2018)

Remote visual analysis of large turbulence databases at multiple scales. - Jesus Pulido; Daniel Livescu; Kalin Kanov; Randal C. Burns; Curtis Canada; James P. Ahrens; Bernd Hamann (J. Parallel Distributed Comput., 2018)

The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps. - Roxana Bujack; Terece L. Turton; Francesca Samsel; Colin Ware; David H. Rogers 001; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2018)

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. - Qun Liu; Subhashis Hazarika; John M. Patchett; James Paul Ahrens; Ayan Biswas (CoRR, 2019)

Multivariate Pointwise Information-Driven Data Sampling and Visualization. - Soumya Dutta; Ayan Biswas; James P. Ahrens (Entropy, 2019)

IEEE Visualization and Graphics Technical Committee (VGTC). - James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2019)

Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. - Daniel Orban; Daniel F. Keefe; Ayan Biswas; James P. Ahrens; David H. Rogers 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Approaches for In Situ Computation of Moments in a Data-Parallel Environment. - Karen C. Tsai; Roxana Bujack; Berk Geveci; Utkarsh Ayachit; James P. Ahrens (EGPGV@Eurographics/EuroVis, 2020)

ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization. - Gregory D. Abram; Vignesh Adhinarayanan; Wu-chun Feng; David H. Rogers 001; James P. Ahrens (IPDPS, 2020)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. - Sian Jin; Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Jiannan Tian; Dingwen Tao; James P. Ahrens (IPDPS, 2020)

Data Parallel Hypersweeps for in Situ Topological Analysis. - Petar Hristov; Gunther H. Weber; Hamish A. Carr; Oliver Rübel; James P. Ahrens (LDAV, 2020)

Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. - Jonas Lukasczyk; Christoph Garth; Matthew Larsen; Wito Engelke; Ingrid Hotz; David H. Rogers 001; James P. Ahrens; Ross Maciejewski (LDAV, 2020)

Foresight: analysis that matters for data reduction. - Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Arvind T. Mohan; Ayan Biswas; John Patchett; Terece L. Turton; David H. Rogers 001; Daniel Livescu; James P. Ahrens (SC, 2020)

Personalized In Situ Steering for Analysis and Visualization. - Pascal Grosset; Jesus Pulido; James P. Ahrens (ISAV@SC, 2020)

A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. - Garrett Aldrich; Jonas Lukasczyk; Jeffrey D. Hyman; Gowri Srinivasan; Hari S. Viswanathan; Christoph Garth; Heike Leitte; James P. Ahrens; Bernd Hamann (Comput. Sci. Eng., 2020)

An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. - Ayan Biswas; Christopher M. Biwer; David J. Walters; James P. Ahrens; Devin Francom; Earl Lawrence; Richard L. Sandberg; D. Anthony Fredenburg; Cynthia Bolme (Comput. Sci. Eng., 2020)

A terminology for in situ visualization and analysis systems. - Hank Childs; Sean Ahern; James P. Ahrens; Andrew C. Bauer; Janine Bennett; E. Wes Bethel; Peer-Timo Bremer; Eric Brugger; Joseph Cottam; Matthieu Dorier; Soumya Dutta; Jean M. Favre; et al. (Int. J. High Perform. Comput. Appl., 2020)

In Situ Adaptive Spatio-Temporal Data Summarization. - Soumya Dutta; Humayra Tasnim; Terece L. Turton; James P. Ahrens (IEEE BigData, 2021)

Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering. - Nathan Marshak; Pascal Grosset; Aaron Knoll; James P. Ahrens; Chris R. Johnson 001 (EGPGV@EuroVis, 2021)

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. - Sian Jin; Jesus Pulido; Pascal Grosset; Jiannan Tian; Dingwen Tao; James P. Ahrens (HPDC, 2021)

Lightweight Interface for In Situ Analysis and Visualization of Particle Data. - Pascal Grosset; James P. Ahrens (ISAV@SC, 2021)

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. - Jesus Pulido; John Patchett; Manish Bhattarai; Boian S. Alexandrov; James P. Ahrens (EuroVis (Short Papers), 2021)

Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. - Ayan Biswas; James P. Ahrens; Soumya Dutta; Jordan M. Musser; Ann S. Almgren; Terece L. Turton (Comput. Sci. Eng., 2021)

A Confidence-Guided Technique for Tracking Time-Varying Features. - Soumya Dutta; Terece L. Turton; James P. Ahrens (Comput. Sci. Eng., 2021)

Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. - Ayan Biswas; Soumya Dutta; Earl Lawrence; John Patchett; Jon C. Calhoun; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2021)

Scalable Contour Tree Computation by Data Parallel Peak Pruning. - Hamish A. Carr; Gunther H. Weber; Christopher M. Sewell; Oliver Rübel; Patricia K. Fasel; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2021)

Complete Provenance for Application Experiments with Containers and Hardware Interface Metadata. - Quincy Wofford; James Hurd; Hugh Greenberg; Patrick G. Bridges; James P. Ahrens (CANOPIE-HPC@SC, 2022)

TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; James P. Ahrens; Dingwen Tao (HPDC, 2022)

In Situ Analysis and Visualization of Extreme-Scale Particle Simulations. - Soumya Dutta; Dan Lipsa; Terece L. Turton; Berk Geveci; James P. Ahrens (ISC Workshops, 2022)

Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. - Jinzhen Wang; Pascal Grosset; Terece L. Turton; James P. Ahrens (DRBSD@SC, 2022)

Technology Trends and Challenges for Large-Scale Scientific Visualization. - James P. Ahrens (IEEE Computer Graphics and Applications, 2022)

In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations. - Soumya Dutta; Terece L. Turton; David H. Rogers 001; Jordan M. Musser; James P. Ahrens; Ann S. Almgren (CoRR, 2022)

Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; James P. Ahrens; Dingwen Tao (CoRR, 2022)

In situ feature analysis for large-scale multiphase flow simulations. - Soumya Dutta; Terece L. Turton; David H. Rogers 001; Jordan M. Musser; James P. Ahrens; Ann S. Almgren (J. Comput. Sci., 2022)

Optimization and Augmentation for Data Parallel Contour Trees. - Hamish A. Carr; Oliver Rübel; Gunther H. Weber; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2022)

Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; James P. Ahrens; Dingwen Tao (SC Workshops, 2023)

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; Sian Jin; Houjun Tang; Jean M. Sexton; Sheng Di; Kai Zhao 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (CoRR, 2023)

Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. - Ayan Biswas; Aditi Mishra; Meghanto Majumder; Subhashis Hazarika; Alexander Most; Juan Castorena; Christopher Bryan; Patrick S. McCormick; James P. Ahrens; Earl Lawrence; Aric A. Hagberg (SC Workshops, 2024)

An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction. - Yanni Etchi; Daoce Wang; Pascal Grosset; Terece L. Turton; James P. Ahrens; David H. Rogers 001 (SC Workshops, 2024)

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. - Daoce Wang; Pascal Grosset; Jesus Pulido; Tushar M. Athawale; Jiannan Tian; Kai Zhao 008; Zarija Lukic; Axel Huebl; Zhe Wang 059; James P. Ahrens; Dingwen Tao (SC, 2024)

Robust Cut for Hierarchical Clustering and Merge Trees. - Divya Banesh; James P. Ahrens; Roxana Bujack (EuroVis (Short Papers), 2024)

Explainable AI Integrated Feature Engineering for Wildfire Prediction. - Di Fan; Ayan Biswas; James Paul Ahrens (CoRR, 2024)

MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. - Rostyslav Hnatyshyn; Jieqiong Zhao; Danny Perez; James P. Ahrens; Ross Maciejewski (IEEE Trans. Vis. Comput. Graph., 2024)

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (IEEE Trans. Parallel Distributed Syst., 2024)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - James P. Ahrens; Marco Arienti; Utkarsh Ayachit; Janine Bennett; Roba Binyahib; Ayan Biswas; Peer-Timo Bremer; Eric Brugger; Roxana Bujack; Hamish A. Carr; Jieyang Chen; Hank Childs; et al. (Int. J. High Perform. Comput. Appl., 2025)