Tom Peterka - RankMe

150 papers A* 2A 12B 11C 10Misc 1Journal 70Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding. IEEE Trans. Vis. Comput. Graph. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2026	J	`jnl`	Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization Using Reconstruction Neural Networks. IEEE Trans. Vis. Comput. Graph. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2026	J	`jnl`	Physics-Informed Tree Search for High-Dimensional Computational Design. CoRR Suvo Banik, Troy D. Loeffler, Henry Chan, Sukriti Manna, Orcun Yildiz, Tom Peterka, Subramanian Sankaranarayanan
2026	J	`jnl`	SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents. CoRR Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu
2025	—	`conf`	ChatVis: Large Language Model Agent for Generating Scientific Visualizations. LDAV Tom Peterka, Tanwi Mallick, Orcun Yildiz, David Lenz, Cory Quammen, Berk Geveci
2025	J	`jnl`	ChatVis: Large Language Model Agent for Generating Scientific Visualizations. CoRR Tom Peterka, Tanwi Mallick, Orcun Yildiz, David Lenz, Cory Quammen, Berk Geveci
2025	—	`conf`	Do Large Language Models Speak Scientific Workflows? SC Workshops Orcun Yildiz, Tom Peterka
2025	—	`conf`	Energy-Efficient Neural Network Training for Scientific Datasets with Advanced Similarity Analytics and Orchestration. ICCS (1) Kin Wai Ng, Orcun Yildiz, Tom Peterka, Florence Tama, Osamu Miyashita, Catherine D. Schuman, Michela Taufer
2025	—	`conf`	Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs. LDAV Guanqun Ma, David Lenz, Hanqi Guo, Tom Peterka, Bei Wang
2025	J	`jnl`	Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs. CoRR Guanqun Ma, David Lenz, Hanqi Guo, Tom Peterka, Bei Wang
2025	J	`jnl`	F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2025	J	`jnl`	Make the Fastest Faster: Importance Mask for Interactive Volume Visualization using Reconstruction Neural Networks. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2025	J	`jnl`	Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. IEEE Trans. Vis. Comput. Graph. Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2024	—	`conf`	Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. LDAV Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2024	J	`jnl`	Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2024	J	`jnl`	Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. IEEE Trans. Vis. Comput. Graph. Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
2024	J	`jnl`	Automated defect identification in coherent diffraction imaging with smart continual learning. Neural Comput. Appl. Orcun Yildiz, Krishnan Raghavan, Henry Chan, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka
2024	—	`conf`	ChatVis: Automating Scientific Visualization with a Large Language Model. SC Workshops Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka
2024	J	`jnl`	ChatVis: Automating Scientific Visualization with a Large Language Model. CoRR Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka
2024	—	`conf`	Critical Point Extraction from Multivariate Functional Approximation. TopoInVis@VIS Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang
2024	J	`jnl`	Critical Point Extraction from Multivariate Functional Approximation. CoRR Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang
2024	J	`jnl`	Do Large Language Models Speak Scientific Workflows? CoRR Orcun Yildiz, Tom Peterka
2024	J	`jnl`	Extreme-scale workflows: A perspective from the JLESC international community. Future Gener. Comput. Syst. Orcun Yildiz, Amal Gueroudji, Julien Bigot, Bruno Raffin, Rosa M. Badia, Tom Peterka
2024	J	`jnl`	MFA-DVR: direct volume rendering of MFA models. J. Vis. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2024	J	`jnl`	Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. CoRR Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2024	B	`conf`	Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. ICPP Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae
2024	J	`jnl`	Wilkins: HPC In Situ Workflows Made Easy. CoRR Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka
2023	J	`jnl`	Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. CoRR Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
2023	J	`jnl`	Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2023	J	`jnl`	Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2023	J	`jnl`	Deep Hierarchical Super Resolution for Scientific Data. IEEE Trans. Vis. Comput. Graph. Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu
2023	J	`jnl`	Fourier-informed knot placement schemes for B-spline approximation. Math. Comput. Simul. David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka
2023	A	`conf`	LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis
2023	B	`conf`	Neural Stream Functions. PacificVis Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2023	J	`jnl`	Neural Stream Functions. CoRR Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2023	J	`jnl`	Reinforcement Learning for Load-Balanced Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka
2023	B	`conf`	Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. IEEE Big Data Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2023	J	`jnl`	Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2023	J	`jnl`	Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
2023	—	`conf`	Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan
2022	J	`jnl`	A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data. IEEE Trans. Big Data Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka
2022	B	`conf`	Accelerating Scientific Workflows on HPC Platforms with In Situ Processing. CCGRID Tu Mai Anh Do, Loïc Pottier, Orcun Yildiz, Karan Vahi, Patrycja Krawczuk, Tom Peterka, Ewa Deelman
2022	—	`conf`	Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2022	J	`jnl`	Adaptive Regularization of B-Spline Models for Scientific Data. CoRR David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2022	—	`conf`	Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging. AI4S Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka
2022	J	`jnl`	MFA-DVR: Direct Volume Rendering of MFA Models. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2022	B	`conf`	Towards Low-Overhead Resilience for Data Parallel Deep Learning. CCGRID Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov
2021	J	`jnl`	Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka
2021	—	`conf`	Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows. WORKS Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka
2021	—	`conf`	Exact Analytical Parallel Vectors. IEEE VIS (Short Papers) Hanqi Guo, Tom Peterka
2021	J	`jnl`	Exact Analytical Parallel Vectors. CoRR Hanqi Guo, Tom Peterka
2021	J	`jnl`	FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2021	—	`conf`	IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. LDAV Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen
2021	J	`jnl`	Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 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
2021	J	`jnl`	Reinforcement Learning for Load-balanced Parallel Particle Tracing. CoRR Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
2021	B	`conf`	Shared-Memory Communication for Containerized Workflows. CCGRID Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka
2021	J	`jnl`	Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR 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
2020	J	`jnl`	A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 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
2020	J	`jnl`	CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks. Vis. Informatics Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka
2020	J	`jnl`	Distributed Asynchronous Union-Find for Scalable Feature Tracking. CoRR Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka
2020	J	`jnl`	FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2020	J	`jnl`	Fast Automatic Knot Placement Method for Accurate B-spline Curve Fitting. Comput. Aided Des. Raine Yeh, Youssef S. G. Nashed, Tom Peterka, Xavier Tricoche
2020	J	`jnl`	Fourier-Informed Knot Placement Schemes for B-Spline Approximation. CoRR David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka
2020	J	`jnl`	InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. IEEE Trans. Vis. Comput. Graph. Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
2020	J	`jnl`	Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. Int. J. High Perform. Comput. Appl. Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf
2020	B	`conf`	Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
2020	J	`jnl`	eFESTA: Ensemble Feature Exploration with Surface Density Estimates. IEEE Trans. Vis. Comput. Graph. Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka
2019	J	`jnl`	A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. IEEE Trans. Vis. Comput. Graph. Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs
2019	—	`conf`	ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data. ISVC (1) Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang
2019	J	`jnl`	Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, Tom Peterka
2019	J	`jnl`	Heterogeneous Hierarchical Workflow Composition. Comput. Sci. Eng. Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka
2019	J	`jnl`	InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. CoRR Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
2019	—	`conf`	Rational Approximation of Scientific Data. ICCS (1) Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu
2019	C	`conf`	Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. CLUSTER Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed
2019	—	`conf`	The challenges of elastic in situ analysis and visualization. ISAV@SC Matthieu Dorier, Orcun Yildiz, Tom Peterka, Robert B. Ross
2019	J	`jnl`	Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka
2018	—	`conf`	Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 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
2018	B	`conf`	Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing. PacificVis Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka
2018	J	`jnl`	Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka
2018	—	`conf`	Foundations of Multivariate Functional Approximation for Scientific Data. LDAV Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche
2018	—	`conf`	In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops 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
2018	—	`conf`	La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello
2018	—	`conf`	Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. LDAV Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen
2018	C	`conf`	Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. BDCAT Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka
2018	J	`jnl`	The future of scientific workflows. Int. J. High Perform. Comput. Appl. Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter
2017	C	`conf`	Automatic Data Filtering for In Situ Workflows. CLUSTER Clément Mommessin, Matthieu Dreher, Bruno Raffin, Tom Peterka
2017	—	`conf`	CoSS: proposing a contract-based storage system for HPC. PDSW-DISCS@SC Matthieu Dorier, Matthieu Dreher, Tom Peterka, Robert B. Ross
2017	—	`conf`	Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 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
2017	C	`conf`	Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. CLUSTER Pierre-Louis Guhur, Emil M. Constantinescu, Debojyoti Ghosh, Tom Peterka, Franck Cappello
2017	Misc	`conf`	Distributed Automatic Differentiation for Ptychography. ICCS Youssef S. G. Nashed, Tom Peterka, Junjing Deng, Chris Jacobsen
2017	J	`jnl`	HACC: extreme scaling and performance across diverse architectures. Commun. ACM 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
2017	—	`conf`	In Situ Workflows at Exascale: System Software to the Rescue. ISAV@SC Matthieu Dreher, Swann Perarnau, Tom Peterka, Kamil Iskra, Peter H. Beckman
2017	B	`conf`	In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations. PacificVis Hanqi Guo, Tom Peterka, Andreas Glatz
2017	C	`conf`	Manala: A Flexible Flow Control Library for Asynchronous Task Communication. CLUSTER Matthieu Dreher, Kiran Sasikumar, Subramanian Sankaranarayanan, Tom Peterka
2016	C	`conf`	Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations. CLUSTER Matthieu Dorier, Robert Sisneros, Leonardo Bautista-Gomez, Tom Peterka, Leigh Orf, Lokman Rahmani, Gabriel Antoniu, Luc Bougé
2016	—	`conf`	Block-parallel data analysis with DIY2. LDAV Dmitriy Morozov, Tom Peterka
2016	C	`conf`	Bredala: Semantic Data Redistribution for In Situ Applications. CLUSTER Matthieu Dreher, Tom Peterka
2016	J	`jnl`	Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations. ACM Trans. Parallel Comput. Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, Leigh Orf
2016	A	`conf`	Efficient delaunay tessellation through K-D tree decomposition. SC Dmitriy Morozov, Tom Peterka
2016	J	`jnl`	Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data. IEEE Trans. Vis. Comput. Graph. Hanqi Guo, Carolyn L. Phillips, Tom Peterka, Dmitry A. Karpeyev, Andreas Glatz
2016	J	`jnl`	Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows. IEEE Trans. Vis. Comput. Graph. Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus
2016	—	`conf`	Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers. Euro-Par Pierre-Louis Guhur, Hong Zhang, Tom Peterka, Emil M. Constantinescu, Franck Cappello
2016	J	`jnl`	Mining Graphs for Understanding Time-Varying Volumetric Data. IEEE Trans. Vis. Comput. Graph. Yi Gu, Chaoli Wang, Tom Peterka, Robert L. Jacob, Seung Hyun Kim
2016	C	`conf`	Parallel DTFE Surface Density Field Reconstruction. CLUSTER Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2016	J	`jnl`	Self-Adaptive Density Estimation of Particle Data. SIAM J. Sci. Comput. Tom Peterka, Hadrien Croubois, Nan Li, Esteban Rangel, Franck Cappello
2015	—	`conf`	Lessons Learned from Building In Situ Coupling Frameworks. ISAV@SC Matthieu Dorier, Matthieu Dreher, Tom Peterka, Justin M. Wozniak, Gabriel Antoniu, Bruno Raffin
2014	B	`conf`	Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
2014	A	`conf`	High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation. SC Tom Peterka, Dmitriy Morozov, Carolyn L. Phillips
2014	J	`jnl`	Large-Scale Simulations of Sky Surveys. Comput. Sci. Eng. 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
2014	J	`jnl`	Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data. IEEE Trans. Parallel Distributed Syst. John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur
2014	A	`conf`	Scalable Computation of Stream Surfaces on Large Scale Vector Fields. SC Kewei Lu, Han-Wei Shen, Tom Peterka
2013	—	`conf`	CAVE2: a hybrid reality environment for immersive simulation and information analysis. ERVR 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
2013	—	`conf`	Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework. LDAV Matthieu Dorier, Robert Sisneros, Tom Peterka, Gabriel Antoniu, B. David Semeraro
2013	C	`conf`	Dataflow coordination of data-parallel tasks via MPI 3.0. EuroMPI Justin M. Wozniak, Tom Peterka, Timothy G. Armstrong, James Dinan, Ewing L. Lusk, Michael Wilde, Ian T. Foster
2013	—	`conf`	Efficient range distribution query in large-scale scientific data. LDAV Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
2013	—	`conf`	On-demand unstructured mesh translation for reducing memory pressure during in situ analysis. UltraVis@SC Jonathan Woodring, James P. Ahrens, Timothy J. Tautges, Tom Peterka, Venkatram Vishwanath, Berk Geveci
2013	J	`jnl`	Scalable Resolution Display Walls. Proc. IEEE Jason Leigh, Andrew E. Johnson, Luc Renambot, Tom Peterka, Byungil Jeong, Daniel J. Sandin, Jonas Talandis, Ratko Jagodic, Sungwon Nam, Hyejung Hur, Yiwen Sun
2012	—	`conf`	A simultaneous 2D/3D autostereo workstation. SD&A Dennis Chau, Bradley McGinnis, Jonas Talandis, Jason Leigh, Tom Peterka, Aaron Knoll, Aslihan Sumer, Michael E. Papka, Julius Jellinek
2012	—	`conf`	Abstract: Tracking and Visualizing Evolution of the Universe: In Situ Parallel Dark Matter Halo Merger Trees. SC Companion Jay Takle, Katrin Heitmann, Tom Peterka, Deborah Silver, George Zagaris, Salman Habib
2012	J	`jnl`	Geometric Quantification of Features in Large Flow Fields. IEEE Computer Graphics and Applications Wesley Kendall, Jian Huang, Tom Peterka
2012	—	`conf`	Meshing the Universe: Integrating Analysis in Cosmological Simulations. SC Companion Tom Peterka, Juliana Kwan, Adrian Pope, Hal Finkel, Katrin Heitmann, Salman Habib, Jingyuan Wang, George Zagaris
2012	—	`ch.`	Parallel Image Compositing Methods. High Performance Visualization Tom Peterka, Kwan-Liu Ma
2012	—	`ch.`	Parallel Integral Curves. High Performance Visualization David Pugmire, Tom Peterka, Christoph Garth
2012	A	`conf`	Parallel particle advection and FTLE computation for time-varying flow fields. SC Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka
2012	—	`conf`	Poster: Tracking and Visualizing the Evolution of the Universe: In situ Parallel Dark Matter Halo Merger Trees. SC Companion Jay Takle, Katrin Heitmann, Tom Peterka, Deborah Silver, George Zagaris, Salman Habib
2012	—	`conf`	Scalable computation of distributions from large scale data sets. LDAV Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang
2012	A	`conf`	The Parallel Computation of Morse-Smale Complexes. IPDPS Attila Gyulassy, Valerio Pascucci, Tom Peterka, Robert B. Ross
2012	—	`conf`	The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures. SC Companion Christopher M. Sewell, Jeremy S. Meredith, Kenneth Moreland, Tom Peterka, David E. DeMarle, Li-Ta Lo, James P. Ahrens, Robert Maynard, Berk Geveci
2012	J	`jnl`	The Universe at Extreme Scale: Multi-Petaflop Sky Simulation on the BG/Q CoRR 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
2012	A	`conf`	The universe at extreme scale: multi-petaflop sky simulation on the BG/Q. SC 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
2012	C	`conf`	Versatile Communication Algorithms for Data Analysis. EuroMPI Tom Peterka, Robert B. Ross
2011	A	`conf`	A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields. IPDPS Tom Peterka, Robert B. Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wesley Kendall, Jian Huang
2011	A	`conf`	An image compositing solution at scale. SC Kenneth Moreland, Wesley Kendall, Tom Peterka, Jian Huang
2011	—	`conf`	Scalable parallel building blocks for custom data analysis. LDAV Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri
2011	A	`conf`	Simplified parallel domain traversal. SC Wesley Kendall, Jingyuan Wang, Melissa R. Allen, Tom Peterka, Jian Huang, David Erickson
2011	J	`jnl`	Toward a General I/O Layer for Parallel-Visualization Applications. IEEE Computer Graphics and Applications Wesley Kendall, Jian Huang, Tom Peterka, Robert Latham, Robert B. Ross
2010	—	`conf`	Accelerating and Benchmarking Radix-k Image Compositing at Large Scale. EGPGV@Eurographics Wesley Kendall, Tom Peterka, Jian Huang, Han-Wei Shen, Robert B. Ross
2009	A	`conf`	A configurable algorithm for parallel image-compositing applications. SC Tom Peterka, David Goodell, Robert B. Ross, Han-Wei Shen, Rajeev Thakur
2009	B	`conf`	End-to-End Study of Parallel Volume Rendering on the IBM Blue Gene/P. ICPP Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma, Robert Latham
2009	A	`conf`	Terascale data organization for discovering multivariate climatic trends. SC Wesley Kendall, Markus Glatter, Jian Huang, Tom Peterka, Robert Latham, Robert B. Ross
2008	J	`jnl`	A Point-Based Asynchronous Remote Visualization Framework for Real-Time Virtual Reality. Int. J. Image Graph. Jinghua Ge, Daniel J. Sandin, Tom Peterka, Robert Kooima, Javier Girado, Andrew E. Johnson
2008	J	`jnl`	Advances in the Dynallax Solid-State Dynamic Parallax Barrier Autostereoscopic Visualization Display System. IEEE Trans. Vis. Comput. Graph. Tom Peterka, Robert Kooima, Daniel J. Sandin, Andrew E. Johnson, Jason Leigh, Thomas A. DeFanti
2008	—	`conf`	Parallel Volume Rendering on the IBM Blue Gene/P. EGPGV@Eurographics Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma
2007	A*	`conf`	A GPU Sub-pixel Algorithm for Autostereoscopic Virtual Reality. VR Robert Kooima, Tom Peterka, Javier Girado, Jinghua Ge, Daniel J. Sandin, Thomas A. DeFanti
2007	A*	`conf`	Dynallax: Solid State Dynamic Parallax Barrier Autostereoscopic VR Display. VR Tom Peterka, Robert Kooima, Javier Girado, Jinghua Ge, Daniel J. Sandin, Andrew E. Johnson, Jason Leigh, Jürgen P. Schulze, Thomas A. DeFanti
2006	J	`jnl`	Personal Varrier: Autostereoscopic virtual reality display for distributed scientific visualization. Future Gener. Comput. Syst. Tom Peterka, Daniel J. Sandin, Jinghua Ge, Javier Girado, Robert Kooima, Jason Leigh, Andrew E. Johnson, Marcus Thiébaux, Thomas A. DeFanti
2006	—	`conf`	Point-based VR visualization for large-scale mesh datasets by real-time remote computation. VRCIA Jinghua Ge, Daniel J. Sandin, Andrew E. Johnson, Tom Peterka, Robert Kooima, Javier Girado, Thomas A. DeFanti
2006	J	`jnl`	The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory. Future Gener. Comput. Syst. 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
2005	—	`conf`	Camera Based Automatic Calibration for the Varrier-System. CVPR Workshops Jinghua Ge, Dan Sandin, Tom Peterka, Todd Margolis, Thomas A. DeFanti
2005	J	`jnl`	The Varrier ACM Trans. Graph. Daniel J. Sandin, Todd Margolis, Jinghua Ge, Javier Girado, Tom Peterka, Thomas A. DeFanti