Tom Peterka

According to our database, Tom Peterka authored at least 126 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network.

Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., January, 2025

2024

MFA-DVR: direct volume rendering of MFA models.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

J. Vis., February, 2024

TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones.

Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang

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

Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization.

Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka

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

Accelerating multivariate functional approximation computation with domain decomposition techniques.

Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka

J. Comput. Sci., 2024

Extreme-scale workflows: A perspective from the JLESC international community.

Orcun Yildiz, Amal Gueroudji, Julien Bigot, Bruno Raffin, Rosa M. Badia, Tom Peterka

Future Gener. Comput. Syst., 2024

ChatVis: Automating Scientific Visualization with a Large Language Model.

Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka

CoRR, 2024

Wilkins: HPC In Situ Workflows Made Easy.

Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka

CoRR, 2024

Critical Point Extraction from Multivariate Functional Approximation.

Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang

Proceedings of the IEEE Topological Data Analysis and Visualization, 2024

Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024

Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models.

Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Deep Hierarchical Super Resolution for Scientific Data.

Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu

IEEE Trans. Vis. Comput. Graph., December, 2023

Toward Feature-Preserving Vector Field Compression.

Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo

IEEE Trans. Vis. Comput. Graph., December, 2023

Fourier-informed knot placement schemes for B-spline approximation.

David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka

Math. Comput. Simul., November, 2023

Reinforcement Learning for Load-Balanced Parallel Particle Tracing.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka

IEEE Trans. Vis. Comput. Graph., June, 2023

Customizable adaptive regularization techniques for B-spline modeling.

David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka

J. Comput. Sci., 2023

Neural Stream Functions.

Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data.

Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan

Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

LowFive: In Situ Data Transport for High-Performance Workflows.

Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data.

Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka

IEEE Trans. Big Data, 2022

Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data.

Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka

CoRR, 2022

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.

Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

Adaptive Regularization of B-Spline Models for Scientific Data.

David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka

Proceedings of the Computational Science - ICCS 2022, 2022

Towards Low-Overhead Resilience for Data Parallel Deep Learning.

Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Accelerating Scientific Workflows on HPC Platforms with In Situ Processing.

Tu Mai Anh Do, Loïc Pottier, Orcun Yildiz, Karan Vahi, Patrycja Krawczuk, Tom Peterka, Ewa Deelman

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2021

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.

Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster

IEEE Trans. Vis. Comput. Graph., 2021

Online data analysis and reduction: An important Co-design motif for extreme-scale computers.

Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson

Int. J. High Perform. Comput. Appl., 2021

Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization.

Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu

CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows.

Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Exact Analytical Parallel Vectors.

Hanqi Guo, Tom Peterka

Proceedings of the 2021 IEEE Visualization Conference, 2021

IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms.

Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen

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

Shared-Memory Communication for Containerized Workflows.

Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks.

Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka

Vis. Informatics, 2020

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.

Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2020

eFESTA: Ensemble Feature Exploration with Surface Density Estimates.

Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2020

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources.

Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf

Int. J. High Perform. Comput. Appl., 2020

A terminology for in situ visualization and analysis systems.

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

Int. J. High Perform. Comput. Appl., 2020

FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.

Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster

CoRR, 2020

Distributed Asynchronous Union-Find for Scalable Feature Tracking.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka

CoRR, 2020

Fast Automatic Knot Placement Method for Accurate B-spline Curve Fitting.

Raine Yeh, Youssef S. G. Nashed, Tom Peterka, Xavier Tricoche

Comput. Aided Des., 2020

Toward Feature-Preserving 2D and 3D Vector Field Compression.

Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis.

Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2019

A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data.

Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs

IEEE Trans. Vis. Comput. Graph., 2019

Heterogeneous Hierarchical Workflow Composition.

Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka

Comput. Sci. Eng., 2019

Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY.

Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka

IEEE Access, 2019

The challenges of elastic in situ analysis and visualization.

Matthieu Dorier, Orcun Yildiz, Tom Peterka, Robert B. Ross

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019

ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.

Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang

Proceedings of the Advances in Visual Computing, 2019

Rational Approximation of Scientific Data.

Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu

Proceedings of the Computational Science - ICCS 2019, 2019

Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel.

Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing.

Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2018

The future of scientific workflows.

Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter

Int. J. High Perform. Comput. Appl., 2018

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.

Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire

Proceedings of the High Performance Computing, 2018

Foundations of Multivariate Functional Approximation for Scientific Data.

Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche

Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

Parallel Partial Reduction for Large-Scale Data Analysis and Visualization.

Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen

Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers.

Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello

Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.

Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models.

Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka

Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing.

Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka

Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017

HACC: extreme scaling and performance across diverse architectures.

Salman Habib, Vitali A. Morozov, Nicholas Frontiere, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Venkatram Vishwanath, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Zarija Lukic

Commun. ACM, 2017

In Situ Workflows at Exascale: System Software to the Rescue.

Matthieu Dreher, Swann Perarnau, Tom Peterka, Kamil Iskra, Peter H. Beckman

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

CoSS: proposing a contract-based storage system for HPC.

Matthieu Dorier, Matthieu Dreher, Tom Peterka, Robert B. Ross

Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

Distributed Automatic Differentiation for Ptychography.

Youssef S. G. Nashed, Tom Peterka, Junjing Deng, Chris Jacobsen

Proceedings of the International Conference on Computational Science, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.

Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics.

Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild

Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

Automatic Data Filtering for In Situ Workflows.

Clément Mommessin, Matthieu Dreher, Bruno Raffin, Tom Peterka

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers.

Pierre-Louis Guhur, Emil M. Constantinescu, Debojyoti Ghosh, Tom Peterka, Franck Cappello

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Manala: A Flexible Flow Control Library for Asynchronous Task Communication.

Matthieu Dreher, Kiran Sasikumar, Subramanian Sankaranarayanan, Tom Peterka

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations.

Hanqi Guo, Tom Peterka, Andreas Glatz

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016

Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data.

Hanqi Guo, Carolyn L. Phillips, Tom Peterka, Dmitry A. Karpeyev, Andreas Glatz

IEEE Trans. Vis. Comput. Graph., 2016

Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows.

Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus

IEEE Trans. Vis. Comput. Graph., 2016

Mining Graphs for Understanding Time-Varying Volumetric Data.

Yi Gu, Chaoli Wang, Tom Peterka, Robert L. Jacob, Seung Hyun Kim

IEEE Trans. Vis. Comput. Graph., 2016

Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations.

Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, Leigh Orf

ACM Trans. Parallel Comput., 2016

Self-Adaptive Density Estimation of Particle Data.

Tom Peterka, Hadrien Croubois, Nan Li, Esteban Rangel, Franck Cappello

SIAM J. Sci. Comput., 2016

Efficient delaunay tessellation through K-D tree decomposition.

Dmitriy Morozov, Tom Peterka

Proceedings of the International Conference for High Performance Computing, 2016

Block-parallel data analysis with DIY2.

Dmitriy Morozov, Tom Peterka

Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers.

Pierre-Louis Guhur, Hong Zhang, Tom Peterka, Emil M. Constantinescu, Franck Cappello

Proceedings of the Euro-Par 2016: Parallel Processing, 2016

Parallel DTFE Surface Density Field Reconstruction.

Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, Alok N. Choudhary

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Bredala: Semantic Data Redistribution for In Situ Applications.

Matthieu Dreher, Tom Peterka

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations.

Matthieu Dorier, Robert Sisneros, Leonardo Bautista-Gomez, Tom Peterka, Leigh Orf, Lokman Rahmani, Gabriel Antoniu, Luc Bougé

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015

Lessons Learned from Building In Situ Coupling Frameworks.

Matthieu Dorier, Matthieu Dreher, Tom Peterka, Justin M. Wozniak, Gabriel Antoniu, Bruno Raffin

Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

2014

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data.

John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur

IEEE Trans. Parallel Distributed Syst., 2014

Large-Scale Simulations of Sky Surveys.

Katrin Heitmann, Salman Habib, Hal Finkel, Nicholas Frontiere, Adrian Pope, Vitali A. Morozov, Steve Rangel, Eve Kovacs, Juliana Kwan, Nan Li, Silvio Rizzi, Joseph A. Insley, Venkatram Vishwanath, Tom Peterka, David Daniel, Patricia K. Fasel, George Zagaris

Comput. Sci. Eng., 2014

High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation.

Tom Peterka, Dmitriy Morozov, Carolyn L. Phillips

Proceedings of the International Conference for High Performance Computing, 2014

Scalable Computation of Stream Surfaces on Large Scale Vector Fields.

Kewei Lu, Han-Wei Shen, Tom Peterka

Proceedings of the International Conference for High Performance Computing, 2014

Efficient Range Distribution Query for Visualizing Scientific Data.

Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka

Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013

Scalable Resolution Display Walls.

Jason Leigh, Andrew E. Johnson, Luc Renambot, Tom Peterka, Byungil Jeong, Daniel J. Sandin, Jonas Talandis, Ratko Jagodic, Sungwon Nam, Hyejung Hur, Yiwen Sun

Proc. IEEE, 2013

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

Proceedings of the 8th International Workshop on Ultrascale Visualization, 2013

Dataflow coordination of data-parallel tasks via MPI 3.0.

Justin M. Wozniak, Tom Peterka, Timothy G. Armstrong, James Dinan, Ewing L. Lusk, Michael Wilde, Ian T. Foster

Proceedings of the 20th European MPI Users's Group Meeting, 2013

Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework.

Matthieu Dorier, Robert Sisneros, Tom Peterka, Gabriel Antoniu, B. David Semeraro

Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

Efficient range distribution query in large-scale scientific data.

Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka

Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

CAVE2: a hybrid reality environment for immersive simulation and information analysis.

Alessandro Febretti, Arthur Nishimoto, Terrance Thigpen, Jonas Talandis, Lance Long, J. D. Pirtle, Tom Peterka, Alan Verlo, Maxine D. Brown, Dana Plepys, Dan Sandin, Luc Renambot, Andrew E. Johnson, Jason Leigh

Proceedings of the Engineering Reality of Virtual Reality 2013, 2013

2012

Geometric Quantification of Features in Large Flow Fields.

Wesley Kendall, Jian Huang, Tom Peterka

IEEE Computer Graphics and Applications, 2012

Poster: Tracking and Visualizing the Evolution of the Universe: In situ Parallel Dark Matter Halo Merger Trees.

Jay Takle, Katrin Heitmann, Tom Peterka, Deborah Silver, George Zagaris, Salman Habib

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Tracking and Visualizing Evolution of the Universe: In Situ Parallel Dark Matter Halo Merger Trees.

Jay Takle, Katrin Heitmann, Tom Peterka, Deborah Silver, George Zagaris, Salman Habib

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

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

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Meshing the Universe: Integrating Analysis in Cosmological Simulations.

Tom Peterka, Juliana Kwan, Adrian Pope, Hal Finkel, Katrin Heitmann, Salman Habib, Jingyuan Wang, George Zagaris

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Parallel particle advection and FTLE computation for time-varying flow fields.

Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka

Proceedings of the SC Conference on High Performance Computing Networking, 2012

The universe at extreme scale: multi-petaflop sky simulation on the BG/Q.

Salman Habib, Vitali A. Morozov, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Nicholas Frontiere, Zarija Lukic

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Versatile Communication Algorithms for Data Analysis.

Tom Peterka, Robert B. Ross

Proceedings of the Recent Advances in the Message Passing Interface, 2012

Scalable computation of distributions from large scale data sets.

Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

The Parallel Computation of Morse-Smale Complexes.

Attila Gyulassy, Valerio Pascucci, Tom Peterka, Robert B. Ross

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

A simultaneous 2D/3D autostereo workstation.

Dennis Chau, Bradley McGinnis, Jonas Talandis, Jason Leigh, Tom Peterka, Aaron Knoll, Aslihan Sumer, Michael E. Papka, Julius Jellinek

Proceedings of the Stereoscopic Displays and Applications XXIII, 2012

Parallel Integral Curves.

David Pugmire, Tom Peterka, Christoph Garth

Proceedings of the High Performance Visualization, 2012

Parallel Image Compositing Methods.

Tom Peterka, Kwan-Liu Ma

Proceedings of the High Performance Visualization, 2012

2011

Toward a General I/O Layer for Parallel-Visualization Applications.

Wesley Kendall, Jian Huang, Tom Peterka, Robert Latham, Robert B. Ross

IEEE Computer Graphics and Applications, 2011

An image compositing solution at scale.

Kenneth Moreland, Wesley Kendall, Tom Peterka, Jian Huang

Proceedings of the Conference on High Performance Computing Networking, 2011

Simplified parallel domain traversal.

Wesley Kendall, Jingyuan Wang, Melissa R. Allen, Tom Peterka, Jian Huang, David Erickson

Proceedings of the Conference on High Performance Computing Networking, 2011

Scalable parallel building blocks for custom data analysis.

Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields.

Tom Peterka, Robert B. Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wesley Kendall, Jian Huang

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2010

Accelerating and Benchmarking Radix-k Image Compositing at Large Scale.

Wesley Kendall, Tom Peterka, Jian Huang, Han-Wei Shen, Robert B. Ross

Proceedings of the 10th Eurographics Symposium on Parallel Graphics and Visualization, 2010

2009

A configurable algorithm for parallel image-compositing applications.

Tom Peterka, David Goodell, Robert B. Ross, Han-Wei Shen, Rajeev Thakur

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Terascale data organization for discovering multivariate climatic trends.

Wesley Kendall, Markus Glatter, Jian Huang, Tom Peterka, Robert Latham, Robert B. Ross

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

End-to-End Study of Parallel Volume Rendering on the IBM Blue Gene/P.

Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma, Robert Latham

Proceedings of the ICPP 2009, 2009

2008

Advances in the Dynallax Solid-State Dynamic Parallax Barrier Autostereoscopic Visualization Display System.

Tom Peterka, Robert Kooima, Daniel J. Sandin, Andrew E. Johnson, Jason Leigh, Thomas A. DeFanti

IEEE Trans. Vis. Comput. Graph., 2008

A Point-Based Asynchronous Remote Visualization Framework for Real-Time Virtual Reality.

Jinghua Ge, Daniel J. Sandin, Tom Peterka, Robert Kooima, Javier Girado, Andrew E. Johnson

Int. J. Image Graph., 2008

Parallel Volume Rendering on the IBM Blue Gene/P.

Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma

Proceedings of the 8th Eurographics Symposium on Parallel Graphics and Visualization, 2008

2007

Dynallax: Solid State Dynamic Parallax Barrier Autostereoscopic VR Display.

Tom Peterka, Robert Kooima, Javier Girado, Jinghua Ge, Daniel J. Sandin, Andrew E. Johnson, Jason Leigh, Jürgen P. Schulze, Thomas A. DeFanti

Proceedings of the IEEE Virtual Reality Conference, 2007

A GPU Sub-pixel Algorithm for Autostereoscopic Virtual Reality.

Robert Kooima, Tom Peterka, Javier Girado, Jinghua Ge, Daniel J. Sandin, Thomas A. DeFanti

Proceedings of the IEEE Virtual Reality Conference, 2007

2006

Personal Varrier: Autostereoscopic virtual reality display for distributed scientific visualization.

Tom Peterka, Daniel J. Sandin, Jinghua Ge, Javier Girado, Robert Kooima, Jason Leigh, Andrew E. Johnson, Marcus Thiébaux, Thomas A. DeFanti

Future Gener. Comput. Syst., 2006

The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory.

Jason Leigh, Luc Renambot, Andrew E. Johnson, Byungil Jeong, Ratko Jagodic, Nicholas Schwarz, Dmitry Svistula, Rajvikram Singh, Julieta Aguilera, Xi Wang, Venkatram Vishwanath, Brenda Lopez, Daniel J. Sandin, Tom Peterka, Javier Girado, Robert Kooima, Jinghua Ge, Lance Long, Alan Verlo, Thomas A. DeFanti, Maxine D. Brown, Donna J. Cox, Robert Patterson, Patrick Dorn, Paul Wefel, Stuart Levy, Jonas Talandis, Joe Reitzer, Tom Prudhomme, Tom Coffin, Brian Davis, Paul Wielinga, Bram Stolk, Gee Bum Koo, Jaeyoun Kim, Sangwoo Han, JongWon Kim, Brian Corrie II, Todd Zimmerman, Pierre Boulanger, Manuel Garcia

Future Gener. Comput. Syst., 2006

Point-based VR visualization for large-scale mesh datasets by real-time remote computation.

Jinghua Ge, Daniel J. Sandin, Andrew E. Johnson, Tom Peterka, Robert Kooima, Javier Girado, Thomas A. DeFanti

Proceedings of the Proceedings VRCIA 2006 ACM International Conference on Virtual Reality Continuum and its Applications, 2006

2005

The Varrier^TM autostereoscopic virtual reality display.

Daniel J. Sandin, Todd Margolis, Jinghua Ge, Javier Girado, Tom Peterka, Thomas A. DeFanti

ACM Trans. Graph., 2005

Camera Based Automatic Calibration for the Varrier-System.

Jinghua Ge, Dan Sandin, Tom Peterka, Todd Margolis, Thomas A. DeFanti

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005