Terece L. Turton

According to our database, Terece L. Turton authored at least 27 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The ECP SICM project: Managing complex memory hierarchies for exascale applications.

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

Int. J. High Perform. Comput. Appl., 2025

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.

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

Int. J. High Perform. Comput. Appl., 2025

2024

Human-machine partnerships at the exascale: exploring simulation ensembles through image databases.

Mai Dahshan, Nicholas F. Polys, Leanna House, Chris North, Ryan M. Pollyea, Terece L. Turton, David H. Rogers

J. Vis., October, 2024

Efficient Computation of Geodesics in Color Space.

Roxana Bujack, Elektra Caffrey, Emily Teti, Terece L. Turton, David H. Rogers, Jonah M. Miller

IEEE Trans. Vis. Comput. Graph., September, 2024

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

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2022

In situ feature analysis for large-scale multiphase flow simulations.

Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren

J. Comput. Sci., 2022

Information-Theoretic Exploration of Multivariate Time-Varying Image Databases.

Humayra Tasnim, Soumya Dutta, Terece L. Turton, David H. Rogers, Melanie E. Moses

Comput. Sci. Eng., 2022

In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations.

Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren

CoRR, 2022

Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data.

Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

Exploration and Analysis of Image-base Simulation Ensembles.

Mai Dahshan, Terece L. Turton, Nicholas F. Polys

Proceedings of the 24th Eurographics Conference on Visualization, 2022

In Situ Analysis and Visualization of Extreme-Scale Particle Simulations.

Soumya Dutta, Dan Lipsa, Terece L. Turton, Berk Geveci, James P. Ahrens

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

2021

A Confidence-Guided Technique for Tracking Time-Varying Features.

Soumya Dutta, Terece L. Turton, James P. Ahrens

Comput. Sci. Eng., 2021

Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case.

Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton

Comput. Sci. Eng., 2021

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis.

Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs

Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

In Situ Adaptive Spatio-Temporal Data Summarization.

Soumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Enabling Domain Expertise in Scientific Visualization With CinemaScience.

Terece L. Turton, Divya Banesh, Trinity Overmyer, Benjamin H. Sims, David H. Rogers, Theresa-Marie Rhyne

IEEE Computer Graphics and Applications, 2020

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

Proceedings of the International Conference for High Performance Computing, 2020

2019

Measuring and Modeling the Feature Detection Threshold Functions of Colormaps.

Colin Ware, Terece L. Turton, Roxana Bujack, Francesca Samsel, Piyush Shrivastava, David H. Rogers

IEEE Trans. Vis. Comput. Graph., 2019

Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data.

Allison H. Baker, Dorit Hammerling, Terece L. Turton

Comput. Graph. Forum, 2019

2018

The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps.

Roxana Bujack, Terece L. Turton, Francesca Samsel, Colin Ware, David H. Rogers, James P. Ahrens

IEEE Trans. Vis. Comput. Graph., 2018

Ordering Perceptions about Perceptual Order.

Roxana Bujack, Terece L. Turton, David H. Rogers, James P. Ahrens

Proceedings of the 2018 IEEE Scientific Visualization Conference, 2018

2017

ETK: An Evaluation Toolkit for Visualization User Studies.

Terece L. Turton, Anne S. Berres, David H. Rogers, James P. Ahrens

Proceedings of the 19th Eurographics Conference on Visualization, 2017

Evaluating the Perceptual Uniformity of Color Sequences for Feature Discrimination.

Colin Ware, Terece L. Turton, Francesca Samsel, Roxana Bujack, David H. Rogers

Proceedings of the 5th EuroVis Workshop on Reproducibility, 2017

A Crowdsourced Approach to Colormap Assessment.

Terece L. Turton, Colin Ware, Francesca Samsel, David H. Rogers

Proceedings of the 5th EuroVis Workshop on Reproducibility, 2017

Intuitive Colormaps for Environmental Visualization.

Francesca Samsel, Terece L. Turton, Philip J. Wolfram, Roxana Bujack

Proceedings of the 5th Workshop on Visualisation in Environmental Sciences, 2017

Video Compression for Ocean Simulation Image Databases.

Anne S. Berres, Terece L. Turton, Mark R. Petersen, David H. Rogers, James P. Ahrens

Proceedings of the 5th Workshop on Visualisation in Environmental Sciences, 2017

2016

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

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016