Terece L. Turton

32 papers A 1Journal 17Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. IEEE Trans. Vis. Comput. Graph. Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence
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	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 ECP SICM project: Managing complex memory hierarchies for exascale applications. Int. J. High Perform. Comput. Appl. Roxana Bujack, Maya B. Gokhale, Latchesar Ionkov, Keita Iwabuchi, Michael R. Jantz, Terry R. Jones, Sumathi Lakshmiranganatha, Michael K. Lang, Jason Lee, Matthew Ben Olson, Scott Pakin, Roger Pearce, Jonathan Pietarila Graham, Li Tang, Terece L. Turton, Sean Williams
2025	J	`jnl`	The Geometry of Color in the Light of a Non-Riemannian Space. Comput. Graph. Forum Roxana Bujack, Emily N. Stark, Terece L. Turton, Jonah M. Miller, David H. Rogers
2025	J	`jnl`	VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. CoRR Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence
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	J	`jnl`	Efficient Computation of Geodesics in Color Space. IEEE Trans. Vis. Comput. Graph. Roxana Bujack, Elektra Caffrey, Emily Teti, Terece L. Turton, David H. Rogers, Jonah M. Miller
2024	J	`jnl`	Human-machine partnerships at the exascale: exploring simulation ensembles through image databases. J. Vis. Mai Dahshan, Nicholas F. Polys, Leanna House, Chris North, Ryan M. Pollyea, Terece L. Turton, David H. Rogers
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`	Exploration and Analysis of Image-base Simulation Ensembles. EuroVis (Posters) Mai Dahshan, Terece L. Turton, Nicholas F. Polys
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`	Information-Theoretic Exploration of Multivariate Time-Varying Image Databases. Comput. Sci. Eng. Humayra Tasnim, Soumya Dutta, Terece L. Turton, David H. Rogers, Melanie E. Moses
2021	J	`jnl`	A Confidence-Guided Technique for Tracking Time-Varying Features. Comput. Sci. Eng. Soumya Dutta, Terece L. Turton, James P. Ahrens
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`	Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. LDAV Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs
2020	J	`jnl`	Enabling Domain Expertise in Scientific Visualization With CinemaScience. IEEE Computer Graphics and Applications Terece L. Turton, Divya Banesh, Trinity Overmyer, Benjamin H. Sims, David H. Rogers, Theresa-Marie Rhyne
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
2019	J	`jnl`	Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data. Comput. Graph. Forum Allison H. Baker, Dorit Hammerling, Terece L. Turton
2019	J	`jnl`	Measuring and Modeling the Feature Detection Threshold Functions of Colormaps. IEEE Trans. Vis. Comput. Graph. Colin Ware, Terece L. Turton, Roxana Bujack, Francesca Samsel, Piyush Shrivastava, David H. Rogers
2018	—	`conf`	Ordering Perceptions about Perceptual Order. SciVis Roxana Bujack, Terece L. Turton, David H. Rogers, James P. Ahrens
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
2017	—	`conf`	A Crowdsourced Approach to Colormap Assessment. EuroRV³@EuroVis Terece L. Turton, Colin Ware, Francesca Samsel, David H. Rogers
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`	Evaluating the Perceptual Uniformity of Color Sequences for Feature Discrimination. EuroRV³@EuroVis Colin Ware, Terece L. Turton, Francesca Samsel, Roxana Bujack, David H. Rogers
2017	—	`conf`	Intuitive Colormaps for Environmental Visualization. EnvirVis@EuroVis Francesca Samsel, Terece L. Turton, Philip J. Wolfram, Roxana Bujack
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	—	`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