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ORCIDJames P. Ahrens
James Paul Ahrens – Jim Ahrens
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- affiliation: Los Alamos National Laboratory, NM, USA
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2020 – today
- 2024
[j41]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): 421-438 (2024)- [j40]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): 727-737 (2024) - [i16]Di Fan, Ayan Biswas, James Paul Ahrens:
Explainable AI Integrated Feature Engineering for Wildfire Prediction. CoRR abs/2404.01487 (2024) - [i15]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 abs/2407.04267 (2024) - 2023
- [c82]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: 44:1-44:15 - [c81]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: 263-271 - [i14]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. CoRR abs/2301.01901 (2023) - [i13]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 abs/2307.09609 (2023) - [i12]Rostyslav Hnatyshyn, Jieqiong Zhao, Danny Perez, James P. Ahrens, Ross Maciejewski:
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations. CoRR abs/2308.11724 (2023) - [i11]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 abs/2309.16980 (2023) - 2022
- [j39]James P. Ahrens:
Technology Trends and Challenges for Large-Scale Scientific Visualization. IEEE Computer Graphics and Applications 42(4): 114-119 (2022) - [j38]Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren:
In situ feature analysis for large-scale multiphase flow simulations. J. Comput. Sci. 63: 101773 (2022) - [j37]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): 3471-3485 (2022) - [c80]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: 12-24 - [c79]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: 135-147 - [c78]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: 283-294 - [c77]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: 11-20 - [i10]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 abs/2201.02557 (2022) - [i9]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 abs/2204.00711 (2022) - 2021
- [j36]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): 75-82 (2021) - [j35]Soumya Dutta, Terece L. Turton, James P. Ahrens:
A Confidence-Guided Technique for Tracking Time-Varying Features. Comput. Sci. Eng. 23(2): 84-92 (2021) - [j34]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): 2437-2454 (2021) - [j33]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): 4439-4454 (2021) - [c76]Soumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens:
In Situ Adaptive Spatio-Temporal Data Summarization. IEEE BigData 2021: 315-321 - [c75]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: 31-35 - [c74]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: 45-56 - [c73]Pascal Grosset, James P. Ahrens:
Lightweight Interface for In Situ Analysis and Visualization of Particle Data. ISAV@SC 2021: 12-17 - [c72]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: 55-59 - [i8]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 abs/2104.00178 (2021) - 2020
- [j32]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): 44-54 (2020) - [j31]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): 64-76 (2020) - [j30]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) - [c71]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: 57-68 - [c70]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: 105-115 - [c69]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: 515-526 - [c68]Petar Hristov, Gunther H. Weber, Hamish A. Carr, Oliver Rübel, James P. Ahrens:
Data Parallel Hypersweeps for in Situ Topological Analysis. LDAV 2020: 12-21 - [c67]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: 37-41 - [c66]Pascal Grosset, Jesus Pulido, James P. Ahrens:
Personalized In Situ Steering for Analysis and Visualization. ISAV@SC 2020: 1-6 - [c65]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: 83 - [i7]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 abs/2004.00224 (2020) - [i6]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 abs/2010.03936 (2020)
2010 – 2019
- 2019
- [j29]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. Entropy 21(7): 699 (2019) - [j28]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): 256-266 (2019) - [j27]James P. Ahrens:
IEEE Visualization and Graphics Technical Committee (VGTC). IEEE Trans. Vis. Comput. Graph. 25(5): vi (2019) - [i5]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. CoRR abs/1907.11762 (2019) - [i4]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [j26]John Patchett, James P. Ahrens:
Optimizing Scientist Time through In Situ Visualization and Analysis. IEEE Computer Graphics and Applications 38(1): 119-127 (2018) - [j25]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: 115-126 (2018) - [j24]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): 923-933 (2018) - [c64]Christina Gillmann, Thomas Wischgoll, Bernd Hamann, James P. Ahrens:
Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions. PacificVis 2018: 106-110 - [c63]Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens:
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. IEEE BigData 2018: 1737-1746 - [c62]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData 2018: 1899-1904 - [c61]Divya Banesh, Joanne Wendelberger, Mark R. Petersen, James P. Ahrens, Bernd Hamann:
Change Point Detection for Ocean Eddy Analysis. EnvirVis@EuroVis 2018: 27-33 - [c60]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: 1029-1038 - [c59]Jonas Lukasczyk, Eric Kinner, James P. Ahrens, Heike Leitte, Christoph Garth:
VOIDGA: A View-Approximation Oriented Image Database Generation Approach. LDAV 2018: 12-22 - [c58]Greg Abram, Paul A. Navrátil, Pascal Grossett, David H. Rogers, James P. Ahrens:
Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. LDAV 2018: 72-76 - [c57]Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens:
In situ data-driven adaptive sampling for large-scale simulation data summarization. ISAV@SC 2018: 13-18 - [c56]Max Zeyen, Tobias Post, Hans Hagen, James P. Ahrens, David H. Rogers, Roxana Bujack:
Color Interpolation for Non-Euclidean Color Spaces. SciVis 2018: 11-15 - [c55]Roxana Bujack, Terece L. Turton, David H. Rogers, James P. Ahrens:
Ordering Perceptions about Perceptual Order. SciVis 2018: 32-36 - [c54]Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens:
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis 2018: 47-51 - [c53]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: 62-66 - [i3]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 abs/1806.07382 (2018) - 2017
- [j23]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): xi-xv (2017) - [c52]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: 111-120 - [c51]Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, David H. Rogers:
High-dimensional scientific data exploration via cinema. DSIA 2017: 1-5 - [c50]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: 43-47 - [c49]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: 49-53 - [c48]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: 978-987 - [c47]John M. Patchett, Boonthanome Nouanesengsy, Joachim Pouderoux, James P. Ahrens, Hans Hagen:
Parallel multi-layer ghost cell generation for distributed unstructured grids. LDAV 2017: 84-91 - [c46]Max Zeyen, James P. Ahrens, Hans Hagen, Katrin Heitmann, Salman Habib:
Cosmological Particle Data Compression in Practice. ISAV@SC 2017: 12-16 - [c45]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: 42-46 - [c44]Terece L. Turton, Anne S. Berres, David H. Rogers, James P. Ahrens:
ETK: An Evaluation Toolkit for Visualization User Studies. EuroVis (Short Papers) 2017: 43-47 - [c43]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: 61-65 - [i2]Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens:
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. CoRR abs/1712.06790 (2017) - 2016
- [j22]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:
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. Comput. Graph. Forum 35(3): 577-597 (2016) - [j21]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: 43-48 (2016) - [j20]Kary L. Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens:
Partitioning a Large Simulation as It Runs. Technometrics 58(3): 329-340 (2016) - [j19]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): 857-866 (2016) - [c42]Colin Ware, Daniel Bolan, Ricky Miller, David H. Rogers, James P. Ahrens:
Animated versus static views of steady flow patterns. SAP 2016: 77-84 - [c41]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: 700-709 - [c40]Colin Ware, David H. Rogers, Mark R. Petersen, James P. Ahrens, Erol Aygar:
Optimizing for Visual Cognition in High Performance Scientific Computing. HVEI 2016: 1-9 - [c39]Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, James P. Ahrens:
Parallel peak pruning for scalable SMP contour tree computation. LDAV 2016: 75-84 - [c38]Hamish A. Carr, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens:
Hybrid Data-Parallel Contour Tree Computation. CGVC 2016: 73-80 - 2015
- [j18]James P. Ahrens:
Increasing Scientific Data Insights about Exascale Class Simulations under Power and Storage Constraints. IEEE Computer Graphics and Applications 35(2): 8-11 (2015) - [c37]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: 703-710 - [c36]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: 880-887 - [c35]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: 91-98 - [c34]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: 50:1-50:11 - [c33]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: 7-11 - [e3]James P. Ahrens, Huamin Qu, Jos B. T. M. Roerdink:
2015 IEEE Scientific Visualization Conference, SciVis 2015, Chicago, IL, USA, October 25-30, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-9785-8 [contents] - 2014
- [j17]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): 1081-1100 (2014) - [c32]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: 27-34 - [c31]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: 43-50 - [c30]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: 424-434 - 2013
- [c29]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: 13-24 - [c28]Christopher M. Sewell, Li-Ta Lo, James P. Ahrens:
Portable data-parallel visualization and analysis in distributed memory environments. LDAV 2013: 25-33 - [c27]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: 3:1-3:8 - [c26]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: 4:1-4:8 - [i1]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 abs/1310.2289 (2013) - 2012
- [j16]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): 1125-1134 (2012) - [j15]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): 3-4 (2012) - [c25]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: 49-56 - [c24]Li-Ta Lo, Christopher M. Sewell, James P. Ahrens:
PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators. EGPGV@Eurographics 2012: 11-20 - [c23]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: 51-60 - [c22]John Bent, Sorin Faibish, Jim Ahrens, Gary Grider, John Patchett, Percy Tzelnic, Jon Woodring:
Jitter-free co-processing on a prototype exascale storage stack. MSST 2012: 1-5 - [c21]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: 206-214 - [c20]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: 201-204 - [p4]Utkarsh Ayachit, Berk Geveci, Kenneth Moreland, John Patchett, Jim Ahrens:
The ParaView Visualization Application. High Performance Visualization 2012 - [p3]David E. DeMarle, Berk Geveci, Jon Woodring, Jim Ahrens:
Streaming and Out-of-Core Methods. High Performance Visualization 2012 - 2011
- [j14]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): 991-1000 (2011) - [j13]Jonathan Woodring, James P. Ahrens, J. Figg, Joanne Wendelberger, Salman Habib, Katrin Heitmann:
In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis. Comput. Graph. Forum 30(3): 1151-1160 (2011) - [j12]James P. Ahrens, Bruce Hendrickson, Gabrielle Long, Steve Miller, Robert B. Ross, Dean N. Williams:
Data-Intensive Science in the US DOE: Case Studies and Future Challenges. Comput. Sci. Eng. 13(6): 14-24 (2011) - [j11]Sean Williams, Mark R. Petersen, Peer-Timo Bremer, Matthew Hecht, Valerio Pascucci, James P. Ahrens, Mario Hlawitschka, Bernd Hamann:
Adaptive Extraction and Quantification of Geophysical Vortices. IEEE Trans. Vis. Comput. Graph. 17(12): 2088-2095 (2011) - [c19]Boonthanome Nouanesengsy, James P. Ahrens, Jonathan Woodring, Han-Wei Shen:
Revisiting Parallel Rendering for Shared Memory Machines. EGPGV@Eurographics 2011: 31-40 - [c18]Christopher Mitchell, James P. Ahrens, Jun Wang:
VisIO: Enabling Interactive Visualization of Ultra-Scale, Time Series Data via High-Bandwidth Distributed I/O Systems. IPDPS 2011: 68-79 - [c17]Jonathan Woodring, Susan M. Mniszewski, Christopher M. Brislawn, David E. DeMarle, James P. Ahrens:
Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision. LDAV 2011: 31-38 - 2010
- [j10]James P. Ahrens, Han-Wei Shen:
Guest Editors' Introduction: Ultrascale Visualization. IEEE Computer Graphics and Applications 30(3): 20-21 (2010) - [j9]James P. Ahrens, Katrin Heitmann, Mark R. Petersen, Jonathan Woodring, Sean Williams, Patricia K. Fasel, Christine Ahrens, Chung-Hsing Hsu, Berk Geveci:
Verifying Scientific Simulations via Comparative and Quantitative Visualization. IEEE Computer Graphics and Applications 30(6): 16-28 (2010) - [c16]Chung-Hsing Hsu, James P. Ahrens, Katrin Heitmann:
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization. PacificVis 2010: 81-88 - [e2]James P. Ahrens, Kurt Debattista, Renato Pajarola:
10th Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@Eurographics 2010, Norrköping, Sweden, May 2-3, 2010. Eurographics Association 2010, ISBN 978-3-905674-21-7 [contents]
2000 – 2009
- 2009
- [j8]Emanuele Santos, Lauro Didier Lins, James P. Ahrens, Juliana Freire, Cláudio T. Silva:
VisMashup: Streamlining the Creation of Custom Visualization Applications. IEEE Trans. Vis. Comput. Graph. 15(6): 1539-1546 (2009) - 2008
- [j7]Erik W. Anderson, James P. Ahrens, Katrin Heitmann, Salman Habib, Cláudio T. Silva:
Provenance in Comparative Analysis: A Study in Cosmology. Comput. Sci. Eng. 10(3): 30-37 (2008) - [c15]Emanuele Santos, Lauro Didier Lins, James P. Ahrens, Juliana Freire, Cláudio T. Silva:
A First Study on Clustering Collections of Workflow Graphs. IPAW 2008: 160-173 - 2007
- [j6]Patrick S. McCormick, Jeff T. Inman, James P. Ahrens, Jamaludin Mohd-Yusof, Greg Roth, Sharen J. Cummins:
Scout: a data-parallel programming language for graphics processors. Parallel Comput. 33(10-11): 648-662 (2007) - [c14]James P. Ahrens, Nehal Desai, Patrick S. McCormick, Ken Martin, Jonathan Woodring:
A modular extensible visualization system architecture for culled prioritized data streaming. Visualization and Data Analysis 2007: 64950I - 2006
- [c13]Andy Cedilnik, Berk Geveci, Kenneth Moreland, James P. Ahrens, Jean M. Favre:
Remote Large Data Visualization in the ParaView Framework. EGPGV@EuroVis/EGVE 2006: 163-170 - [c12]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:
Ultra-scale visualization - Workshop on ultra-scale visualization. SC 2006: 235 - 2005
- [c11]Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens:
Time-varying, multivariate volume data reduction. SAC 2005: 1224-1230 - [p2]Patrick S. McCormick, James P. Ahrens:
Large-Scale Data Visualization and Rendering: A Problem-Driven Approach. The Visualization Handbook 2005: 533-549 - [p1]James P. Ahrens, Berk Geveci, C. Charles Law:
ParaView: An End-User Tool for Large-Data Visualization. The Visualization Handbook 2005: 717-731 - 2004
- [c10]Patrick S. McCormick, Jeff T. Inman, James P. Ahrens, Charles D. Hansen, Greg Roth:
Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis. IEEE Visualization 2004: 171-178 - 2003
- [c9]Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, James P. Ahrens, John Patchett:
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003: 33-40 - [c8]E. Wes Bethel, Greg Abram, John Shalf, Randy Frank, James P. Ahrens, Steven G. Parker, Nagiza F. Samatova, Mark C. Miller:
Interoperability of Visualization Software and Data Models is NOT an Achievable Goal. IEEE Visualization 2003: 607-610 - 2001
- [j5]James P. Ahrens, Kristi Brislawn, Ken Martin, Berk Geveci, C. Charles Law, Michael E. Papka:
Large-Scale Data Visualization Using Parallel Data Streaming. IEEE Computer Graphics and Applications 21(4): 34-41 (2001) - [j4]Joe Kniss, Patrick S. McCormick, Allen McPherson, James P. Ahrens, James S. Painter, Alan Keahey, Charles D. Hansen:
Interactive Texture-Based Volume Rendering for Large Data Sets. IEEE Computer Graphics and Applications 21(4): 52-61 (2001) - [c7]C. Charles Law, Amy Henderson, James P. Ahrens:
An application architecture for large data visualization: a case study. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2001: 125-128 - 2000
- [j3]Katarzyna Keahey, Peter H. Beckman, James P. Ahrens:
Ligature: Component Architecture for High Performance Applications. Int. J. High Perform. Comput. Appl. 14(4): 347-356 (2000) - [c6]James P. Ahrens, Kai Li, Daniel A. Reed:
Next-generation visualization displays: the research challenges of building tiled displays (panel session). IEEE Visualization 2000: 527-529
1990 – 1999
- 1999
- [c5]James P. Ahrens, Patrick S. McCormick, Allen McPherson, Jamie Painter:
An Evolving Infrastructure to Support Accelerated Strategic Computing Initiative (ASCI) Multi-Source Visualization and Data Analysis Needs. PP 1999 - [e1]James P. Ahrens, Alan Chalmers, Han-Wei Shen:
Proceedings of the 1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999, San Francisco, California, USA, October 25-26, 1999. IEEE Computer Society 1999, ISBN 978-1-58113-237-3 [contents] - 1998
- [j2]Patrick S. McCormick, James P. Ahrens:
Visualization of Wildfire Simulations. IEEE Computer Graphics and Applications 18(2): 17-19 (1998) - [c4]Samuel P. Uselton, Lloyd Treinish, James P. Ahrens, E. Wes Bethel, Andrei State:
Multi-source data analysis challenges. IEEE Visualization 1998: 501-504 - 1997
- [c3]James P. Ahrens, Patrick S. McCormick, James Bossert, Jon Reisner, Judith Winterkamp:
Wildfire visualization (case study). IEEE Visualization 1997: 451-454 - 1996
- [j1]Rex M. Jakobovits, Lara M. Lewis, James P. Ahrens, Linda G. Shapiro, Steven L. Tanimoto, James F. Brinkley:
A Visual Database Environment for Scientific Research. J. Vis. Lang. Comput. 7(4): 361-375 (1996) - 1995
- [c2]James P. Ahrens, Charles D. Hansen:
Cost-Effective Data-Parallel Load Balancing. ICPP (2) 1995: 218-221 - 1993
- [c1]Frank A. Ortega, Charles D. Hansen, James P. Ahrens:
Fast data parallel polygon rendering. SC 1993: 709-718
Coauthor Index
Pascal Grosset
aka: Pascal Grossett
aka: Pascal Grossett
John Patchett
aka: John M. Patchett
aka: John M. Patchett
Jonathan Woodring
aka: Jon Woodring
aka: Jon Woodring
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