James P. Ahrens

148 papers A 21B 5Misc 2Journal 57Unranked 58
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Scalable In Transit Solution for Comprehensive Exploration of Simulation Data.
CoRR
Pascal Grosset, James P. Ahrens
2025 — conf
InferA: A Smart Assistant for Cosmological Ensemble Data.
SC Workshops
Justin Z. Tam, Pascal Grosset, Divya Banesh, Nesar Ramachandra, Terece L. Turton, James P. Ahrens
2025 J jnl
InferA: A Smart Assistant for Cosmological Ensemble Data.
CoRR
Justin Z. Tam, Pascal Grosset, Divya Banesh, Nesar Ramachandra, Terece L. Turton, James P. Ahrens
2025 — conf
PerfAnalyzer: Revealing Performance Trends using Version Oriented Visual Analysis of Scientific Software.
SC Workshops
Sayef Azad Sakin, James P. Ahrens
2025 A conf
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 J jnl
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 J jnl
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.
Int. J. High Perform. Comput. Appl.
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, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure
2025 J jnl
The Origins of the ParaView and VisIt Scientific Visualization Tools.
IEEE Computer Graphics and Applications
James P. Ahrens, Hank Childs, Kenneth Moreland
2024 A conf
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 J jnl
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 — conf
An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction.
SC Workshops
Yanni Etchi, Daoce Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens, David H. Rogers
2024 — conf
Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data.
SC Workshops
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
2024 J jnl
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations.
IEEE Trans. Vis. Comput. Graph.
Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski
2024 — conf
Robust Cut for Hierarchical Clustering and Merge Trees.
EuroVis (Short Papers)
Divya Banesh, James P. Ahrens, Roxana Bujack
2024 J jnl
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
IEEE Trans. Parallel Distributed Syst.
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2023 A conf
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 J jnl
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 — conf
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
SC Workshops
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
2023 J jnl
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
2023 J jnl
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations.
CoRR
Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski
2023 J jnl
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2022 — conf
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data.
DRBSD@SC
Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens
2022 — conf
Complete Provenance for Application Experiments with Containers and Hardware Interface Metadata.
CANOPIE-HPC@SC
Quincy Wofford, James Hurd, Hugh Greenberg, Patrick G. Bridges, James P. Ahrens
2022 — conf
In Situ Analysis and Visualization of Extreme-Scale Particle Simulations.
ISC Workshops
Soumya Dutta, Dan Lipsa, Terece L. Turton, Berk Geveci, James P. Ahrens
2022 J jnl
In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations.
CoRR
Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren
2022 J jnl
In situ feature analysis for large-scale multiphase flow simulations.
J. Comput. Sci.
Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren
2022 J jnl
Optimization and Augmentation for Data Parallel Contour Trees.
IEEE Trans. Vis. Comput. Graph.
Hamish A. Carr, Oliver Rübel, Gunther H. Weber, James P. Ahrens
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2022 A conf
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
HPDC
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2022 J jnl
Technology Trends and Challenges for Large-Scale Scientific Visualization.
IEEE Computer Graphics and Applications
James P. Ahrens
2021 J jnl
A Confidence-Guided Technique for Tracking Time-Varying Features.
Comput. Sci. Eng.
Soumya Dutta, Terece L. Turton, James P. Ahrens
2021 A conf
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
HPDC
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 J jnl
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
CoRR
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 — conf
Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering.
EGPGV@EuroVis
Nathan Marshak, Pascal Grosset, Aaron Knoll, James P. Ahrens, Chris R. Johnson
2021 J jnl
Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case.
Comput. Sci. Eng.
Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton
2021 — conf
In Situ Adaptive Spatio-Temporal Data Summarization.
IEEE BigData
Soumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens
2021 — conf
Lightweight Interface for In Situ Analysis and Visualization of Particle Data.
ISAV@SC
Pascal Grosset, James P. Ahrens
2021 J jnl
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.
IEEE Trans. Vis. Comput. Graph.
Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens
2021 J jnl
Scalable Contour Tree Computation by Data Parallel Peak Pruning.
IEEE Trans. Vis. Comput. Graph.
Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, Oliver Rübel, Patricia K. Fasel, James P. Ahrens
2021 — conf
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.
EuroVis (Short Papers)
Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
2020 J jnl
A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles.
Comput. Sci. Eng.
Garrett Aldrich, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth, Heike Leitte, James P. Ahrens, Bernd Hamann
2020 J jnl
A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl.
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, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler
2020 J jnl
An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study.
Comput. Sci. Eng.
Ayan Biswas, Christopher M. Biwer, David J. Walters, James P. Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, Cynthia Bolme
2020 — conf
Approaches for In Situ Computation of Moments in a Data-Parallel Environment.
EGPGV@Eurographics/EuroVis
Karen C. Tsai, Roxana Bujack, Berk Geveci, Utkarsh Ayachit, James P. Ahrens
2020 — conf
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets.
LDAV
Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski
2020 J jnl
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets.
CoRR
Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski
2020 — conf
Data Parallel Hypersweeps for in Situ Topological Analysis.
LDAV
Petar Hristov, Gunther H. Weber, Hamish A. Carr, Oliver Rübel, James P. Ahrens
2020 A conf
ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization.
IPDPS
Gregory D. Abram, Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens
2020 A conf
Foresight: analysis that matters for data reduction.
SC
Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James P. Ahrens
2020 — conf
Personalized In Situ Steering for Analysis and Visualization.
ISAV@SC
Pascal Grosset, Jesus Pulido, James P. Ahrens
2020 A conf
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
IPDPS
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2020 J jnl
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
CoRR
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2019 J jnl
Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space.
IEEE Trans. Vis. Comput. Graph.
Daniel Orban, Daniel F. Keefe, Ayan Biswas, James P. Ahrens, David H. Rogers
2019 J jnl
IEEE Visualization and Graphics Technical Committee (VGTC).
IEEE Trans. Vis. Comput. Graph.
James P. Ahrens
2019 J jnl
Multivariate Pointwise Information-Driven Data Sampling and Visualization.
CoRR
Soumya Dutta, Ayan Biswas, James P. Ahrens
2019 J jnl
Multivariate Pointwise Information-Driven Data Sampling and Visualization.
Entropy
Soumya Dutta, Ayan Biswas, James P. Ahrens
2018 A conf
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
ICDCS
Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, James P. Ahrens
2018 — conf
Change Point Detection for Ocean Eddy Analysis.
EnvirVis@EuroVis
Divya Banesh, Joanne Wendelberger, Mark R. Petersen, James P. Ahrens, Bernd Hamann
2018 — conf
Color Interpolation for Non-Euclidean Color Spaces.
SciVis
Max Zeyen, Tobias Post, Hans Hagen, James P. Ahrens, David H. Rogers, Roxana Bujack
2018 — conf
Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization.
LDAV
Greg Abram, Paul A. Navrátil, Pascal Grossett, David H. Rogers, James P. Ahrens
2018 J jnl
In situ TensorView: In situ Visualization of Convolutional Neural Networks.
CoRR
Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada
2018 — conf
In situ data-driven adaptive sampling for large-scale simulation data summarization.
ISAV@SC
Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens
2018 B conf
Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions.
PacificVis
Christina Gillmann, Thomas Wischgoll, Bernd Hamann, James P. Ahrens
2018 — conf
Ocean Current Segmentation at Different Depths and Correlation with Temperature in a MPAS-Ocean Simulation.
SciVis
Petra Gospodnetic, Divya Banesh, Phillip Wolfram, Mark R. Petersen, Hans Hagen, James P. Ahrens, Markus Rauhut
2018 J jnl
Optimizing Scientist Time through In Situ Visualization and Analysis.
IEEE Computer Graphics and Applications
John Patchett, James P. Ahrens
2018 — conf
Ordering Perceptions about Perceptual Order.
SciVis
Roxana Bujack, Terece L. Turton, David H. Rogers, James P. Ahrens
2018 J jnl
Remote visual analysis of large turbulence databases at multiple scales.
J. Parallel Distributed Comput.
Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann
2018 J jnl
The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps.
IEEE Trans. Vis. Comput. Graph.
Roxana Bujack, Terece L. Turton, Francesca Samsel, Colin Ware, David H. Rogers, James P. Ahrens
2018 — conf
VOIDGA: A View-Approximation Oriented Image Database Generation Approach.
LDAV
Jonas Lukasczyk, Eric Kinner, James P. Ahrens, Heike Leitte, Christoph Garth
2018 — conf
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators.
SciVis
Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens
2017 A conf
Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization.
IPDPS
Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens, Scott Pakin
2017 — conf
Cosmological Particle Data Compression in Practice.
ISAV@SC
Max Zeyen, James P. Ahrens, Hans Hagen, Katrin Heitmann, Salman Habib
2017 — conf
ETK: An Evaluation Toolkit for Visualization User Studies.
EuroVis (Short Papers)
Terece L. Turton, Anne S. Berres, David H. Rogers, James P. Ahrens
2017 — conf
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments.
EnvirVis@EuroVis
Divya Banesh, Joseph A. Schoonover, James P. Ahrens, Bernd Hamann
2017 — conf
High-dimensional scientific data exploration via cinema.
DSIA
Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, David H. Rogers
2017 B conf
Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets.
PacificVis
Soumya Dutta, Jonathan Woodring, Han-Wei Shen, Jen-Ping Chen, James P. Ahrens
2017 — conf
In Situ and Post Processing Workflows for Asteroid Ablation Studies.
EuroVis (Short Papers)
John M. Patchett, Boonthanome Nouanesengsy, Galen Gisler, James P. Ahrens, Hans Hagen
2017 — conf
Parallel multi-layer ghost cell generation for distributed unstructured grids.
LDAV
John M. Patchett, Boonthanome Nouanesengsy, Joachim Pouderoux, James P. Ahrens, Hans Hagen
2017 J jnl
Preface.
IEEE Trans. Vis. Comput. Graph.
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
2017 — conf
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman.
ISAV@SC
Matthew Larsen, James P. Ahrens, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison
2017 — conf
Video Compression for Ocean Simulation Image Databases.
EnvirVis@EuroVis
Anne S. Berres, Terece L. Turton, Mark R. Petersen, David H. Rogers, James P. Ahrens
2016 B conf
Animated versus static views of steady flow patterns.
SAP
Colin Ware, Daniel Bolan, Ricky Miller, David H. Rogers, James P. Ahrens
2016 J jnl
Cinema image-based in situ analysis and visualization of MPAS-ocean simulations.
Parallel Comput.
Patrick O'Leary, James P. Ahrens, Sébastien Jourdain, Scott Wittenburg, David H. Rogers, Mark R. Petersen
2016 — conf
Hybrid Data-Parallel Contour Tree Computation.
CGVC
Hamish A. Carr, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
2016 J jnl
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model.
IEEE Trans. Vis. Comput. Graph.
Jonathan Woodring, Mark R. Petersen, Andre Schmeißer, John Patchett, James P. Ahrens, Hans Hagen
2016 — conf
Interactive Colormapping: Enabling Multiple Data Range and Detailed Views of Ocean Salinity.
CHI Extended Abstracts
Francesca Samsel, Sebastian Klaassen, Mark R. Petersen, Terece L. Turton, Gregory D. Abram, David H. Rogers, James P. Ahrens
2016 — conf
Optimizing for Visual Cognition in High Performance Scientific Computing.
HVEI
Colin Ware, David H. Rogers, Mark R. Petersen, James P. Ahrens, Erol Aygar
2016 — conf
Parallel peak pruning for scalable SMP contour tree computation.
LDAV
Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, James P. Ahrens
2015 — ed.
2015 IEEE Scientific Visualization Conference, SciVis 2015, Chicago, IL, USA, October 25-30, 2015
SciVis
James P. Ahrens, Huamin Qu, Jos B. T. M. Roerdink
2015 — conf
Colormaps that Improve Perception of High-Resolution Ocean Data.
CHI Extended Abstracts
Francesca Samsel, Mark R. Petersen, Terece Geld, Greg Abram, Joanne Wendelberger, James P. Ahrens
2015 J jnl
Increasing Scientific Data Insights about Exascale Class Simulations under Power and Storage Constraints.
IEEE Computer Graphics and Applications
James P. Ahrens
2015 A conf
Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach.
SC
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, James P. Ahrens
2015 — conf
On the Greenness of In-Situ and Post-Processing Visualization Pipelines.
IPDPS Workshops
Vignesh Adhinarayanan, Wu-chun Feng, Jonathan Woodring, David H. Rogers, James P. Ahrens
2015 — conf
Utilizing many-core accelerators for halo and center finding within a cosmology simulation.
LDAV
Christopher M. Sewell, Li-Ta Lo, Katrin Heitmann, Salman Habib, James P. Ahrens
2015 — conf
Visualization and Analysis of Large-Scale Atomistic Simulations of Plasma-Surface Interactions.
EuroVis (Short Papers)
Wathsala Widanagamaachchi, Karl D. Hammond, Li-Ta Lo, Brian Wirth, Francesca Samsel, Christopher M. Sewell, James P. Ahrens, Valerio Pascucci
2014 — conf
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement.
LDAV
Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers, James P. Ahrens
2014 A conf
An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis.
SC
James P. Ahrens, Sébastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen
2014 — conf
Data-parallel halo finding with variable linking lengths.
LDAV
Wathsala Widanagamaachchi, Peer-Timo Bremer, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens, Valerio Pascucci
2014 J jnl
Effective and efficient data sampling using bitmap indices.
Clust. Comput.
Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens
2013 — conf
A model for optimizing file access patterns using spatio-temporal parallelism.
UltraVis@SC
Boonthanome Nouanesengsy, John Patchett, James P. Ahrens, Andrew C. Bauer, Aashish Chaudhary, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams
2013 — conf
On-demand unstructured mesh translation for reducing memory pressure during in situ analysis.
UltraVis@SC
Jonathan Woodring, James P. Ahrens, Timothy J. Tautges, Tom Peterka, Venkatram Vishwanath, Berk Geveci
2013 — conf
Portable data-parallel visualization and analysis in distributed memory environments.
LDAV
Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
2013 J jnl
Subband coding for large-scale scientific simulation data using JPEG 2000.
CoRR
Christopher M. Brislawn, Jonathan Woodring, Susan M. Mniszewski, David E. DeMarle, James P. Ahrens
2013 A conf
Taming massive distributed datasets: data sampling using bitmap indices.
HPDC
Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens
2012 — conf
A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications.
EGPGV@Eurographics
Carson Brownlee, John Patchett, Li-Ta Lo, David E. DeMarle, Christopher Mitchell, James P. Ahrens, Charles D. Hansen
2012 B conf
Analyzing the evolution of large scale structures in the universe with velocity based methods.
PacificVis
Uliana Popov, Eddy Chandra, Katrin Heitmann, Salman Habib, James P. Ahrens, Alex Pang
2012 J jnl
Guest Editor's Introduction: Special Section on the Eurographics Symposium on Parallel Graphics and Visualization (EGPGV).
IEEE Trans. Vis. Comput. Graph.
James P. Ahrens, Kurt Debattista
2012 J jnl
Interface Exchange as an Indicator for Eddy Heat Transport.
Comput. Graph. Forum
Sean Williams, Mark R. Petersen, Matthew Hecht, Mathew Maltrud, John Patchett, James P. Ahrens, Bernd Hamann
2012 — conf
PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators.
EGPGV@Eurographics
Li-Ta Lo, Christopher M. Sewell, James P. Ahrens
2012 — conf
Subband coding for large-scale scientific simulation data using JPEG 2000.
SSIAI
Christopher M. Brislawn, Jonathan Woodring, Susan M. Mniszewski, David E. DeMarle, James P. Ahrens
2012 — conf
The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures.
SC Companion
Christopher M. Sewell, Jeremy S. Meredith, Kenneth Moreland, Tom Peterka, David E. DeMarle, Li-Ta Lo, James P. Ahrens, Robert Maynard, Berk Geveci
2011 J jnl
Adaptive Extraction and Quantification of Geophysical Vortices.
IEEE Trans. Vis. Comput. Graph.
Sean Williams, Mark R. Petersen, Peer-Timo Bremer, Matthew Hecht, Valerio Pascucci, James P. Ahrens, Mario Hlawitschka, Bernd Hamann
2011 J jnl
Data-Intensive Science in the US DOE: Case Studies and Future Challenges.
Comput. Sci. Eng.
James P. Ahrens, Bruce Hendrickson, Gabrielle Long, Steve Miller, Robert B. Ross, Dean N. Williams
2011 J jnl
In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis.
Comput. Graph. Forum
Jonathan Woodring, James P. Ahrens, J. Figg, Joanne Wendelberger, Salman Habib, Katrin Heitmann
2011 — conf
Revisiting Parallel Rendering for Shared Memory Machines.
EGPGV@Eurographics
Boonthanome Nouanesengsy, James P. Ahrens, Jonathan Woodring, Han-Wei Shen
2011 — conf
Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision.
LDAV
Jonathan Woodring, Susan M. Mniszewski, Christopher M. Brislawn, David E. DeMarle, James P. Ahrens
2011 A conf
VisIO: Enabling Interactive Visualization of Ultra-Scale, Time Series Data via High-Bandwidth Distributed I/O Systems.
IPDPS
Christopher Mitchell, James P. Ahrens, Jun Wang
2011 J jnl
Visualization and Analysis of Eddies in a Global Ocean Simulation.
Comput. Graph. Forum
Sean Williams, Matthew Hecht, Mark R. Petersen, Richard Strelitz, Mathew Maltrud, James P. Ahrens, Mario Hlawitschka, Bernd Hamann
2010 — ed.
10th Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@Eurographics 2010, Norrköping, Sweden, May 2-3, 2010
EGPGV@Eurographics
James P. Ahrens, Kurt Debattista, Renato Pajarola
2010 J jnl
Guest Editors' Introduction: Ultrascale Visualization.
IEEE Computer Graphics and Applications
James P. Ahrens, Han-Wei Shen
2010 B conf
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization.
PacificVis
Chung-Hsing Hsu, James P. Ahrens, Katrin Heitmann
2010 J jnl
Verifying Scientific Simulations via Comparative and Quantitative Visualization.
IEEE Computer Graphics and Applications
James P. Ahrens, Katrin Heitmann, Mark R. Petersen, Jonathan Woodring, Sean Williams, Patricia K. Fasel, Christine Ahrens, Chung-Hsing Hsu, Berk Geveci
2009 J jnl
VisMashup: Streamlining the Creation of Custom Visualization Applications.
IEEE Trans. Vis. Comput. Graph.
Emanuele Santos, Lauro Didier Lins, James P. Ahrens, Juliana Freire, Cláudio T. Silva
2008 — conf
A First Study on Clustering Collections of Workflow Graphs.
IPAW
Emanuele Santos, Lauro Didier Lins, James P. Ahrens, Juliana Freire, Cláudio T. Silva
2008 J jnl
Provenance in Comparative Analysis: A Study in Cosmology.
Comput. Sci. Eng.
Erik W. Anderson, James P. Ahrens, Katrin Heitmann, Salman Habib, Cláudio T. Silva
2007 Misc conf
A modular extensible visualization system architecture for culled prioritized data streaming.
Visualization and Data Analysis
James P. Ahrens, Nehal Desai, Patrick S. McCormick, Ken Martin, Jonathan Woodring
2007 J jnl
Scout: a data-parallel programming language for graphics processors.
Parallel Comput.
Patrick S. McCormick, Jeff T. Inman, James P. Ahrens, Jamaludin Mohd-Yusof, Greg Roth, Sharen J. Cummins
2006 — conf
Remote Large Data Visualization in the ParaView Framework.
EGPGV@EuroVis/EGVE
Andy Cedilnik, Berk Geveci, Kenneth Moreland, James P. Ahrens, Jean M. Favre
2006 A conf
Ultra-scale visualization - Workshop on ultra-scale visualization.
SC
James P. Ahrens, Hank Childs, John P. Clyne, Wes Bethel, Jian Huang, Scott Klasky, Kwan-Liu Ma, Kenneth Moreland, Michael E. Papka, Valerio Pascucci, Han-Wei Shen, Deborah Silver
2005 — ch.
Large-Scale Data Visualization and Rendering: A Problem-Driven Approach.
The Visualization Handbook
Patrick S. McCormick, James P. Ahrens
2005 — ch.
ParaView: An End-User Tool for Large-Data Visualization.
The Visualization Handbook
James P. Ahrens, Berk Geveci, C. Charles Law
2005 Misc conf
Time-varying, multivariate volume data reduction.
SAC
Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens
2004 A conf
Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis.
IEEE Visualization
Patrick S. McCormick, Jeff T. Inman, James P. Ahrens, Charles D. Hansen, Greg Roth
2003 A conf
Interoperability of Visualization Software and Data Models is NOT an Achievable Goal.
IEEE Visualization
E. Wes Bethel, Greg Abram, John Shalf, Randy Frank, James P. Ahrens, Steven G. Parker, Nagiza F. Samatova, Mark C. Miller
2003 — conf
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering.
IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, James P. Ahrens, John Patchett
2001 — conf
An application architecture for large data visualization: a case study.
IEEE Symposium on Parallel and Large-Data Visualization and Graphics
C. Charles Law, Amy Henderson, James P. Ahrens
2001 J jnl
Interactive Texture-Based Volume Rendering for Large Data Sets.
IEEE Computer Graphics and Applications
Joe Kniss, Patrick S. McCormick, Allen McPherson, James P. Ahrens, James S. Painter, Alan Keahey, Charles D. Hansen
2001 J jnl
Large-Scale Data Visualization Using Parallel Data Streaming.
IEEE Computer Graphics and Applications
James P. Ahrens, Kristi Brislawn, Ken Martin, Berk Geveci, C. Charles Law, Michael E. Papka
2000 J jnl
Ligature: Component Architecture for High Performance Applications.
Int. J. High Perform. Comput. Appl.
Katarzyna Keahey, Peter H. Beckman, James P. Ahrens
2000 A conf
Next-generation visualization displays: the research challenges of building tiled displays (panel session).
IEEE Visualization
James P. Ahrens, Kai Li, Daniel A. Reed
1999 — conf
An Evolving Infrastructure to Support Accelerated Strategic Computing Initiative (ASCI) Multi-Source Visualization and Data Analysis Needs.
PP
James P. Ahrens, Patrick S. McCormick, Allen McPherson, Jamie Painter
1999 — ed.
Proceedings of the 1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999, San Francisco, California, USA, October 25-26, 1999
PVGS
James P. Ahrens, Alan Chalmers, Han-Wei Shen
1998 A conf
Multi-source data analysis challenges.
IEEE Visualization
Samuel P. Uselton, Lloyd Treinish, James P. Ahrens, E. Wes Bethel, Andrei State
1998 J jnl
Visualization of Wildfire Simulations.
IEEE Computer Graphics and Applications
Patrick S. McCormick, James P. Ahrens
1997 A conf
Wildfire visualization (case study).
IEEE Visualization
James P. Ahrens, Patrick S. McCormick, James Bossert, Jon Reisner, Judith Winterkamp
1996 J jnl
A Visual Database Environment for Scientific Research.
J. Vis. Lang. Comput.
Rex M. Jakobovits, Lara M. Lewis, James P. Ahrens, Linda G. Shapiro, Steven L. Tanimoto, James F. Brinkley
1995 — conf
Cost-Effective Data-Parallel Load Balancing.
ICPP (2)
James P. Ahrens, Charles D. Hansen
1993 A conf
Fast data parallel polygon rendering.
SC
Frank A. Ortega, Charles D. Hansen, James P. Ahrens