James P. Ahrens

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 82

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

LDAV

ISAV@SC

Publications

Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. CoRR (2024)
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Trans. Parallel Distributed Syst. 35 (3) (2024)
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
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR (2023)
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. CoRR (2023)
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. SC Workshops (2023)
Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. CoRR (2023)
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
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC (2023)
Soumya Dutta, Dan Lipsa, Terece L. Turton, Berk Geveci, James P. Ahrens
In Situ Analysis and Visualization of Extreme-Scale Particle Simulations. ISC Workshops (2022)
James P. Ahrens
Technology Trends and Challenges for Large-Scale Scientific Visualization. IEEE Computer Graphics and Applications 42 (4) (2022)
Soumya Dutta, Terece L. Turton, David Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren
In situ feature analysis for large-scale multiphase flow simulations. J. Comput. Sci. 63 (2022)
Quincy Wofford, James Hurd, Hugh Greenberg, Patrick G. Bridges, James P. Ahrens
Complete Provenance for Application Experiments with Containers and Hardware Interface Metadata. CANOPIE-HPC@SC (2022)
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. CoRR (2022)
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. HPDC (2022)
Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. DRBSD@SC (2022)
Hamish A. Carr, Oliver Rübel, Gunther H. Weber, James P. Ahrens
Optimization and Augmentation for Data Parallel Contour Trees. IEEE Trans. Vis. Comput. Graph. 28 (10) (2022)
Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren
In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations. CoRR (2022)
Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. EuroVis (Short Papers) (2021)
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. HPDC (2021)
Soumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens
In Situ Adaptive Spatio-Temporal Data Summarization. IEEE BigData (2021)
Soumya Dutta, Terece L. Turton, James P. Ahrens
A Confidence-Guided Technique for Tracking Time-Varying Features. Comput. Sci. Eng. 23 (2) (2021)
Nathan Marshak, Pascal Grosset, Aaron Knoll, James P. Ahrens, Chris R. Johnson
Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering. EGPGV@EuroVis (2021)
Pascal Grosset, James P. Ahrens
Lightweight Interface for In Situ Analysis and Visualization of Particle Data. ISAV@SC (2021)
Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27 (12) (2021)
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. CoRR (2021)
Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton
Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. Comput. Sci. Eng. 23 (1) (2021)
Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, Oliver Rübel, Patricia K. Fasel, James P. Ahrens
Scalable Contour Tree Computation by Data Parallel Peak Pruning. IEEE Trans. Vis. Comput. Graph. 27 (4) (2021)
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. CoRR (2020)
Karen C. Tsai, Roxana Bujack, Berk Geveci, Utkarsh Ayachit, James P. Ahrens
Approaches for In Situ Computation of Moments in a Data-Parallel Environment. EGPGV@Eurographics/EuroVis (2020)
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. IPDPS (2020)
Pascal Grosset, Jesus Pulido, James P. Ahrens
Personalized In Situ Steering for Analysis and Visualization. ISAV@SC (2020)
Gregory D. Abram, Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens
ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization. IPDPS (2020)
Garrett Aldrich, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth, Heike Leitte, James P. Ahrens, Bernd Hamann
A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Comput. Sci. Eng. 22 (2) (2020)
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
Foresight: analysis that matters for data reduction. SC (2020)
Ayan Biswas, Christopher M. Biwer, David J. Walters, James P. Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, Cynthia Bolme
An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. Comput. Sci. Eng. 22 (2) (2020)
Petar Hristov, Gunther H. Weber, Hamish A. Carr, Oliver Rübel, James P. Ahrens
Data Parallel Hypersweeps for in Situ Topological Analysis. LDAV (2020)
Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. CoRR (2020)
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
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. LDAV (2020)
Soumya Dutta, Ayan Biswas, James P. Ahrens
Multivariate Pointwise Information-Driven Data Sampling and Visualization. Entropy 21 (7) (2019)
James P. Ahrens
IEEE Visualization and Graphics Technical Committee (VGTC). IEEE Trans. Vis. Comput. Graph. 25 (5) (2019)
Soumya Dutta, Ayan Biswas, James P. Ahrens
Multivariate Pointwise Information-Driven Data Sampling and Visualization. CoRR (2019)
Daniel Orban, Daniel F. Keefe, Ayan Biswas, James P. Ahrens, David H. Rogers
Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Divya Banesh, Joanne Wendelberger, Mark R. Petersen, James P. Ahrens, Bernd Hamann
Change Point Detection for Ocean Eddy Analysis. EnvirVis@EuroVis (2018)
Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens
In situ data-driven adaptive sampling for large-scale simulation data summarization. ISAV@SC (2018)
Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis (2018)
Roxana Bujack, Terece L. Turton, Francesca Samsel, Colin Ware, David H. Rogers, James P. Ahrens
The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Petra Gospodnetic, Divya Banesh, Phillip Wolfram, Mark R. Petersen, Hans Hagen, James P. Ahrens, Markus Rauhut
Ocean Current Segmentation at Different Depths and Correlation with Temperature in a MPAS-Ocean Simulation. SciVis (2018)
Greg Abram, Paul A. Navrátil, Pascal Grossett, David H. Rogers, James P. Ahrens
Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. LDAV (2018)
Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada
In situ TensorView: In situ Visualization of Convolutional Neural Networks. CoRR (2018)
Max Zeyen, Tobias Post, Hans Hagen, James P. Ahrens, David H. Rogers, Roxana Bujack
Color Interpolation for Non-Euclidean Color Spaces. SciVis (2018)
John Patchett, James P. Ahrens
Optimizing Scientist Time through In Situ Visualization and Analysis. IEEE Computer Graphics and Applications 38 (1) (2018)
Christina Gillmann, Thomas Wischgoll, Bernd Hamann, James P. Ahrens
Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions. PacificVis (2018)
Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann
Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. 120 (2018)
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
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. ICDCS (2018)
Roxana Bujack, Terece L. Turton, David H. Rogers, James P. Ahrens
Ordering Perceptions about Perceptual Order. SciVis (2018)
Jonas Lukasczyk, Eric Kinner, James P. Ahrens, Heike Leitte, Christoph Garth
VOIDGA: A View-Approximation Oriented Image Database Generation Approach. LDAV (2018)
Soumya Dutta, Jonathan Woodring, Han-Wei Shen, Jen-Ping Chen, James P. Ahrens
Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets. PacificVis (2017)
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
Preface. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Divya Banesh, Joseph A. Schoonover, James P. Ahrens, Bernd Hamann
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments. EnvirVis@EuroVis (2017)
Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens, Scott Pakin
Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. IPDPS (2017)
John M. Patchett, Boonthanome Nouanesengsy, Galen Gisler, James P. Ahrens, Hans Hagen
In Situ and Post Processing Workflows for Asteroid Ablation Studies. EuroVis (Short Papers) (2017)
Terece L. Turton, Anne S. Berres, David H. Rogers, James P. Ahrens
ETK: An Evaluation Toolkit for Visualization User Studies. EuroVis (Short Papers) (2017)
Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, David H. Rogers
High-dimensional scientific data exploration via cinema. DSIA (2017)
John M. Patchett, Boonthanome Nouanesengsy, Joachim Pouderoux, James P. Ahrens, Hans Hagen
Parallel multi-layer ghost cell generation for distributed unstructured grids. LDAV (2017)
Max Zeyen, James P. Ahrens, Hans Hagen, Katrin Heitmann, Salman Habib
Cosmological Particle Data Compression in Practice. ISAV@SC (2017)
Matthew Larsen, James P. Ahrens, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. ISAV@SC (2017)
Anne S. Berres, Terece L. Turton, Mark R. Petersen, David H. Rogers, James P. Ahrens
Video Compression for Ocean Simulation Image Databases. EnvirVis@EuroVis (2017)
Hamish A. Carr, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
Hybrid Data-Parallel Contour Tree Computation. CGVC (2016)
Jonathan Woodring, Mark R. Petersen, Andre Schmeißer, John Patchett, James P. Ahrens, Hans Hagen
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Colin Ware, David H. Rogers, Mark R. Petersen, James P. Ahrens, Erol Aygar
Optimizing for Visual Cognition in High Performance Scientific Computing. HVEI (2016)
Francesca Samsel, Sebastian Klaassen, Mark R. Petersen, Terece L. Turton, Gregory D. Abram, David H. Rogers, James P. Ahrens
Interactive Colormapping: Enabling Multiple Data Range and Detailed Views of Ocean Salinity. CHI Extended Abstracts (2016)
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
Methods, Infrastructures, and Applications on High Performance Computing Platforms. Comput. Graph. Forum 35 (3) (2016)
Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, James P. Ahrens
Parallel peak pruning for scalable SMP contour tree computation. LDAV (2016)
Colin Ware, Daniel Bolan, Ricky Miller, David H. Rogers, James P. Ahrens
Animated versus static views of steady flow patterns. SAP (2016)
Patrick O'Leary, James P. Ahrens, Sébastien Jourdain, Scott Wittenburg, David H. Rogers, Mark R. Petersen
Cinema image-based in situ analysis and visualization of MPAS-ocean simulations. Parallel Comput. 55 (2016)
Christopher M. Sewell, Li-Ta Lo, Katrin Heitmann, Salman Habib, James P. Ahrens
Utilizing many-core accelerators for halo and center finding within a cosmology simulation. LDAV (2015)
Vignesh Adhinarayanan, Wu-chun Feng, Jonathan Woodring, David H. Rogers, James P. Ahrens
On the Greenness of In-Situ and Post-Processing Visualization Pipelines. IPDPS Workshops (2015)
James P. Ahrens
Increasing Scientific Data Insights about Exascale Class Simulations under Power and Storage Constraints. IEEE Computer Graphics and Applications 35 (2) (2015)
Francesca Samsel, Mark R. Petersen, Terece Geld, Greg Abram, Joanne Wendelberger, James P. Ahrens
Colormaps that Improve Perception of High-Resolution Ocean Data. CHI Extended Abstracts (2015)
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
Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach. SC (2015)
Wathsala Widanagamaachchi, Karl D. Hammond, Li-Ta Lo, Brian Wirth, Francesca Samsel, Christopher M. Sewell, James P. Ahrens, Valerio Pascucci
Visualization and Analysis of Large-Scale Atomistic Simulations of Plasma-Surface Interactions. EuroVis (Short Papers) (2015)
Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers, James P. Ahrens
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. LDAV (2014)
James P. Ahrens, Sébastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen
An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis. SC (2014)
Wathsala Widanagamaachchi, Peer-Timo Bremer, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens, Valerio Pascucci
Data-parallel halo finding with variable linking lengths. LDAV (2014)
Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens
Effective and efficient data sampling using bitmap indices. Clust. Comput. 17 (4) (2014)
Boonthanome Nouanesengsy, John Patchett, James P. Ahrens, Andrew C. Bauer, Aashish Chaudhary, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams
A model for optimizing file access patterns using spatio-temporal parallelism. UltraVis@SC (2013)
Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens
Taming massive distributed datasets: data sampling using bitmap indices. HPDC (2013)
Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
Portable data-parallel visualization and analysis in distributed memory environments. LDAV (2013)
Christopher M. Brislawn, Jonathan Woodring, Susan M. Mniszewski, David E. DeMarle, James P. Ahrens
Subband coding for large-scale scientific simulation data using JPEG 2000. CoRR (2013)
Jonathan Woodring, James P. Ahrens, Timothy J. Tautges, Tom Peterka, Venkatram Vishwanath, Berk Geveci
On-demand unstructured mesh translation for reducing memory pressure during in situ analysis. UltraVis@SC (2013)
James P. Ahrens, Kurt Debattista
Guest Editor's Introduction: Special Section on the Eurographics Symposium on Parallel Graphics and Visualization (EGPGV). IEEE Trans. Vis. Comput. Graph. 18 (1) (2012)
Christopher M. Sewell, Jeremy S. Meredith, Kenneth Moreland, Tom Peterka, David E. DeMarle, Li-Ta Lo, James P. Ahrens, Robert Maynard, Berk Geveci
The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures. SC Companion (2012)
Li-Ta Lo, Christopher M. Sewell, James P. Ahrens
PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators. EGPGV@Eurographics (2012)
Carson Brownlee, John Patchett, Li-Ta Lo, David E. DeMarle, Christopher Mitchell, James P. Ahrens, Charles D. Hansen
A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications. EGPGV@Eurographics (2012)
Sean Williams, Mark R. Petersen, Matthew Hecht, Mathew Maltrud, John Patchett, James P. Ahrens, Bernd Hamann
Interface Exchange as an Indicator for Eddy Heat Transport. Comput. Graph. Forum 31 (3pt3) (2012)
Christopher M. Brislawn, Jonathan Woodring, Susan M. Mniszewski, David E. DeMarle, James P. Ahrens
Subband coding for large-scale scientific simulation data using JPEG 2000. SSIAI (2012)
Uliana Popov, Eddy Chandra, Katrin Heitmann, Salman Habib, James P. Ahrens, Alex Pang
Analyzing the evolution of large scale structures in the universe with velocity based methods. PacificVis (2012)
James P. Ahrens, Bruce Hendrickson, Gabrielle Long, Steve Miller, Rob Ross, Dean N. Williams
Data-Intensive Science in the US DOE: Case Studies and Future Challenges. Comput. Sci. Eng. 13 (6) (2011)
Sean Williams, Matthew Hecht, Mark R. Petersen, Richard Strelitz, Mathew Maltrud, James P. Ahrens, Mario Hlawitschka, Bernd Hamann
Visualization and Analysis of Eddies in a Global Ocean Simulation. Comput. Graph. Forum 30 (3) (2011)

James P. Ahrens.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

James P. Ahrens