James P. Ahrens
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
8
Active years
1993–2025
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | PerfAnalyzer: Revealing Performance Trends using Version Oriented Visual Analysis of Scientific Software. | Sayef Azad Sakin, James P. Ahrens |
| 2025 | SC | InferA: A Smart Assistant for Cosmological Ensemble Data. | Justin Z. Tam, Pascal Grosset, Divya Banesh, Nesar Ramachandra, Terece L. Turton, James P. Ahrens |
| 2025 | SC | STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data. | 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 |
| 2024 | SC | 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 |
| 2024 | SC | 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 |
| 2024 | SC | 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, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao |
| 2023 | SC | 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 |
| 2023 | SC | 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, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao |
| 2022 | HPDC | 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 |
| 2021 | EGPGV | 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 |
| 2021 | HPDC | 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 |
| 2021 | SC | Lightweight Interface for In Situ Analysis and Visualization of Particle Data. | Pascal Grosset, James P. Ahrens |
| 2020 | EGPGV | Approaches for In Situ Computation of Moments in a Data-Parallel Environment. | Karen C. Tsai, Roxana Bujack, Berk Geveci, Utkarsh Ayachit, James P. Ahrens |
| 2020 | SC | 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, Daniel Livescu, James P. Ahrens |
| 2020 | SC | Personalized In Situ Steering for Analysis and Visualization. | Pascal Grosset, Jesus Pulido, James P. Ahrens |
| 2018 | ICDCS | BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. | 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 | SC | In situ data-driven adaptive sampling for large-scale simulation data summarization. | Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens |
| 2017 | SC | 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 |
| 2017 | SC | Cosmological Particle Data Compression in Practice. | Max Zeyen, James P. Ahrens, Hans Hagen, Katrin Heitmann, Salman Habib |
| 2016 | CHI | 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, James P. Ahrens |
| 2015 | CHI | Colormaps that Improve Perception of High-Resolution Ocean Data. | Francesca Samsel, Mark R. Petersen, Terece Geld, Greg Abram, Joanne Wendelberger, James P. Ahrens |
| 2015 | SC | 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, James P. Ahrens |
| 2014 | SC | An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis. | James P. Ahrens, Sbastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen |
| 2013 | HPDC | Taming massive distributed datasets: data sampling using bitmap indices. | Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens |
| 2013 | SC | 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 |
| 2013 | SC | 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 |
| 2012 | EGPGV | 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 |
| 2012 | EGPGV | PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators. | Li-Ta Lo, Christopher M. Sewell, James P. Ahrens |
| 2012 | SC | 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 |
| 2011 | EGPGV | Revisiting Parallel Rendering for Shared Memory Machines. | Boonthanome Nouanesengsy, James P. Ahrens, Jonathan Woodring, Han-Wei Shen |
| 2007 | VDA | A modular extensible visualization system architecture for culled prioritized data streaming. | James P. Ahrens, Nehal Desai, Patrick S. McCormick, Ken Martin, Jonathan Woodring |
| 2006 | EGPGV | Remote Large Data Visualization in the ParaView Framework. | Andy Cedilnik, Berk Geveci, Kenneth Moreland, James P. Ahrens, Jean M. Favre |
| 2006 | SC | Ultra-scale visualization - Workshop on ultra-scale visualization. | 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 | SAC | Time-varying, multivariate volume data reduction. | Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens |
| 1995 | ICPP | Cost-Effective Data-Parallel Load Balancing. | James P. Ahrens, Charles D. Hansen |
| 1993 | SC | Fast data parallel polygon rendering. | Frank A. Ortega, Charles D. Hansen, James P. Ahrens |