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2020 – today
- 2025
[j43]Tianyu Xiong, Skylar W. Wurster
, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. IEEE Trans. Vis. Comput. Graph. 31(1): 645-655 (2025)- 2024
- [j42]Orcun Yildiz, Amal Gueroudji, Julien Bigot, Bruno Raffin, Rosa M. Badia, Tom Peterka:
Extreme-scale workflows: A perspective from the JLESC international community. Future Gener. Comput. Syst. 161: 502-513 (2024) - [j41]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating multivariate functional approximation computation with domain decomposition techniques. J. Comput. Sci. 78: 102268 (2024) - [j40]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
MFA-DVR: direct volume rendering of MFA models. J. Vis. 27(1): 109-126 (2024) - [j39]Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka:
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. IEEE Trans. Vis. Comput. Graph. 30(1): 965-974 (2024) - [j38]Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang:
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. IEEE Trans. Vis. Comput. Graph. 30(1): 1249-1259 (2024) - [c75]Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae:
Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. ICPP 2024: 812-821 - [c74]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. LDAV 2024: 33-42 - [c73]Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang:
Critical Point Extraction from Multivariate Functional Approximation. TopoInVis@VIS 2024: 12-22 - [i22]Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka:
Wilkins: HPC In Situ Workflows Made Easy. CoRR abs/2404.03591 (2024) - [i21]Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. CoRR abs/2407.19082 (2024) - [i20]Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang:
Critical Point Extraction from Multivariate Functional Approximation. CoRR abs/2408.13193 (2024) - [i19]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. CoRR abs/2409.00184 (2024) - [i18]Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka:
ChatVis: Automating Scientific Visualization with a Large Language Model. CoRR abs/2410.11863 (2024) - 2023
- [j37]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71: 102037 (2023) - [j36]David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka:
Fourier-informed knot placement schemes for B-spline approximation. Math. Comput. Simul. 213: 374-393 (2023) - [j35]Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka:
Reinforcement Learning for Load-Balanced Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. 29(6): 3052-3066 (2023) - [j34]Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo:
Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. 29(12): 5434-5450 (2023) - [j33]Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu:
Deep Hierarchical Super Resolution for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29(12): 5483-5495 (2023) - [c72]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. IEEE Big Data 2023: 905-914 - [c71]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques. ICCS (1) 2023: 89-103 - [c70]Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis:
LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS 2023: 985-995 - [c69]Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan:
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV 2023: 32-41 - [c68]Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Neural Stream Functions. PacificVis 2023: 132-141 - [i17]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR abs/2301.01209 (2023) - [i16]Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Neural Stream Functions. CoRR abs/2307.08142 (2023) - [i15]Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang:
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. CoRR abs/2307.15243 (2023) - [i14]Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka:
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. CoRR abs/2308.02494 (2023) - [i13]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. CoRR abs/2312.15073 (2023) - 2022
- [j32]Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka:
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data. IEEE Trans. Big Data 8(6): 1637-1649 (2022) - [c67]Tu Mai Anh Do, Loïc Pottier, Orcun Yildiz, Karan Vahi, Patrycja Krawczuk, Tom Peterka, Ewa Deelman:
Accelerating Scientific Workflows on HPC Platforms with In Situ Processing. CCGRID 2022: 1-10 - [c66]Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov:
Towards Low-Overhead Resilience for Data Parallel Deep Learning. CCGRID 2022: 336-345 - [c65]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) 2022: 150-163 - [c64]Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka:
Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging. AI4S 2022: 1-6 - [i12]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. CoRR abs/2203.12730 (2022) - [i11]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
MFA-DVR: Direct Volume Rendering of MFA Models. CoRR abs/2204.11762 (2022) - [i10]Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. CoRR abs/2210.06528 (2022) - 2021
- [j31]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:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [j30]Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka:
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. 27(6): 2808-2820 (2021) - [j29]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27(8): 3463-3480 (2021) - [c63]Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka:
Shared-Memory Communication for Containerized Workflows. CCGRID 2021: 123-132 - [c62]Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen:
IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. LDAV 2021: 12-21 - [c61]Hanqi Guo, Tom Peterka:
Exact Analytical Parallel Vectors. IEEE VIS (Short Papers) 2021: 101-105 - [c60]Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka:
Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows. WORKS 2021: 25-32 - [i9]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:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i8]Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu:
Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization. CoRR abs/2107.00462 (2021) - [i7]Hanqi Guo, Tom Peterka:
Exact Analytical Parallel Vectors. CoRR abs/2107.02708 (2021) - [i6]Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka:
Reinforcement Learning for Load-balanced Parallel Particle Tracing. CoRR abs/2109.05679 (2021) - 2020
- [j28]Raine Yeh, Youssef S. G. Nashed, Tom Peterka, Xavier Tricoche:
Fast Automatic Knot Placement Method for Accurate B-spline Curve Fitting. Comput. Aided Des. 128: 102905 (2020) - [j27]Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf:
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. Int. J. High Perform. Comput. Appl. 34(4) (2020) - [j26]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:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j25]Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka:
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. IEEE Trans. Vis. Comput. Graph. 26(1): 23-33 (2020) - [j24]Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka:
eFESTA: Ensemble Feature Exploration with Surface Density Estimates. IEEE Trans. Vis. Comput. Graph. 26(4): 1716-1731 (2020) - [j23]Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka:
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks. Vis. Informatics 4(2): 109-121 (2020) - [c59]Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka:
Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis 2020: 81-90 - [i5]Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka:
Distributed Asynchronous Union-Find for Scalable Feature Tracking. CoRR abs/2003.02351 (2020) - [i4]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR abs/2011.08697 (2020) - [i3]David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka:
Fourier-Informed Knot Placement Schemes for B-Spline Approximation. CoRR abs/2012.04123 (2020)
2010 – 2019
- 2019
- [j22]Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka:
Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access 7: 156929-156955 (2019) - [j21]Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka:
Heterogeneous Hierarchical Workflow Composition. Comput. Sci. Eng. 21(4): 76-86 (2019) - [j20]Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs:
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. IEEE Trans. Vis. Comput. Graph. 25(7): 2349-2361 (2019) - [j19]Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, Tom Peterka:
Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. 25(9): 2710-2724 (2019) - [c58]Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed:
Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. CLUSTER 2019: 1-9 - [c57]Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu:
Rational Approximation of Scientific Data. ICCS (1) 2019: 18-31 - [c56]Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang:
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data. ISVC (1) 2019: 289-301 - [c55]Matthieu Dorier, Orcun Yildiz, Tom Peterka, Robert B. Ross:
The challenges of elastic in situ analysis and visualization. ISAV@SC 2019: 23-28 - [i2]Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka:
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. CoRR abs/1908.00407 (2019) - 2018
- [j18]Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter:
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32(1): 159-175 (2018) - [j17]Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka:
Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. 24(1): 954-963 (2018) - [c54]Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka:
Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing. PacificVis 2018: 86-95 - [c53]Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka:
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. BDCAT 2018: 1-10 - [c52]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:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c51]Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello:
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis 2018: 91-100 - [c50]Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen:
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. LDAV 2018: 45-55 - [c49]Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche:
Foundations of Multivariate Functional Approximation for Scientific Data. LDAV 2018: 61-71 - [c48]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:
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops 2018: 230-242 - 2017
- [j16]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:
HACC: extreme scaling and performance across diverse architectures. Commun. ACM 60(1): 97-104 (2017) - [c47]Hanqi Guo, Tom Peterka, Andreas Glatz:
In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations. PacificVis 2017: 71-80 - [c46]Clément Mommessin, Matthieu Dreher, Bruno Raffin, Tom Peterka:
Automatic Data Filtering for In Situ Workflows. CLUSTER 2017: 370-378 - [c45]Matthieu Dreher, Kiran Sasikumar, Subramanian Sankaranarayanan, Tom Peterka:
Manala: A Flexible Flow Control Library for Asynchronous Task Communication. CLUSTER 2017: 509-519 - [c44]Pierre-Louis Guhur, Emil M. Constantinescu, Debojyoti Ghosh, Tom Peterka, Franck Cappello:
Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. CLUSTER 2017: 592-602 - [c43]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:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c42]Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild:
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. Euro-Par Workshops 2017: 545-556 - [c41]Youssef S. G. Nashed, Tom Peterka, Junjing Deng, Chris Jacobsen:
Distributed Automatic Differentiation for Ptychography. ICCS 2017: 404-414 - [c40]Matthieu Dorier, Matthieu Dreher, Tom Peterka, Robert B. Ross:
CoSS: proposing a contract-based storage system for HPC. PDSW-DISCS@SC 2017: 13-18 - [c39]Matthieu Dreher, Swann Perarnau, Tom Peterka, Kamil Iskra, Peter H. Beckman:
In Situ Workflows at Exascale: System Software to the Rescue. ISAV@SC 2017: 22-26 - 2016
- [j15]Tom Peterka, Hadrien Croubois, Nan Li, Esteban Rangel, Franck Cappello:
Self-Adaptive Density Estimation of Particle Data. SIAM J. Sci. Comput. 38(5) (2016) - [j14]Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, Leigh Orf:
Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations. ACM Trans. Parallel Comput. 3(3): 15:1-15:43 (2016) - [j13]Hanqi Guo, Carolyn L. Phillips, Tom Peterka, Dmitry A. Karpeyev, Andreas Glatz:
Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data. IEEE Trans. Vis. Comput. Graph. 22(1): 827-836 (2016) - [j12]Yi Gu, Chaoli Wang, Tom Peterka, Robert L. Jacob, Seung Hyun Kim:
Mining Graphs for Understanding Time-Varying Volumetric Data. IEEE Trans. Vis. Comput. Graph. 22(1): 965-974 (2016) - [j11]Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus:
Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows. IEEE Trans. Vis. Comput. Graph. 22(6): 1672-1682 (2016) - [c38]Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, Alok N. Choudhary:
Parallel DTFE Surface Density Field Reconstruction. CLUSTER 2016: 30-39 - [c37]Matthieu Dorier, Robert Sisneros, Leonardo Bautista-Gomez, Tom Peterka, Leigh Orf, Lokman Rahmani, Gabriel Antoniu, Luc Bougé:
Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations. CLUSTER 2016: 269-278 - [c36]Matthieu Dreher, Tom Peterka:
Bredala: Semantic Data Redistribution for In Situ Applications. CLUSTER 2016: 279-288 - [c35]Pierre-Louis Guhur, Hong Zhang, Tom Peterka, Emil M. Constantinescu, Franck Cappello:
Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers. Euro-Par 2016: 644-656 - [c34]Dmitriy Morozov, Tom Peterka:
Block-parallel data analysis with DIY2. LDAV 2016: 29-36 - [c33]Dmitriy Morozov, Tom Peterka:
Efficient delaunay tessellation through K-D tree decomposition. SC 2016: 728-738 - 2015
- [c32]Matthieu Dorier, Matthieu Dreher, Tom Peterka, Justin M. Wozniak, Gabriel Antoniu, Bruno Raffin:
Lessons Learned from Building In Situ Coupling Frameworks. ISAV@SC 2015: 19-24 - 2014
- [j10]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:
Large-Scale Simulations of Sky Surveys. Comput. Sci. Eng. 16(5): 14-23 (2014) - [j9]John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur:
Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data. IEEE Trans. Parallel Distributed Syst. 25(10): 2627-2637 (2014) - [c31]Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka:
Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis 2014: 201-208 - [c30]Tom Peterka, Dmitriy Morozov, Carolyn L. Phillips:
High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation. SC 2014: 997-1007 - [c29]Kewei Lu, Han-Wei Shen, Tom Peterka:
Scalable Computation of Stream Surfaces on Large Scale Vector Fields. SC 2014: 1008-1019 - 2013
- [j8]Jason Leigh, Andrew E. Johnson, Luc Renambot, Tom Peterka, Byungil Jeong, Daniel J. Sandin, Jonas Talandis, Ratko Jagodic, Sungwon Nam, Hyejung Hur, Yiwen Sun:
Scalable Resolution Display Walls. Proc. IEEE 101(1): 115-129 (2013) - [c28]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:
CAVE2: a hybrid reality environment for immersive simulation and information analysis. ERVR 2013: 864903 - [c27]Matthieu Dorier, Robert Sisneros, Tom Peterka, Gabriel Antoniu, B. David Semeraro:
Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework. LDAV 2013: 67-75 - [c26]Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka:
Efficient range distribution query in large-scale scientific data. LDAV 2013: 125-126 - [c25]Justin M. Wozniak, Tom Peterka, Timothy G. Armstrong, James Dinan, Ewing L. Lusk, Michael Wilde, Ian T. Foster:
Dataflow coordination of data-parallel tasks via MPI 3.0. EuroMPI 2013: 1-6 - [c24]Jonathan Woodring, James P. Ahrens, Timothy J. Tautges, Tom Peterka, Venkatram Vishwanath, Berk Geveci:
On-demand unstructured mesh translation for reducing memory pressure during in situ analysis. UltraVis@SC 2013: 3:1-3:8 - 2012
- [j7]Wesley Kendall, Jian Huang, Tom Peterka:
Geometric Quantification of Features in Large Flow Fields. IEEE Computer Graphics and Applications 32(4): 46-54 (2012) - [c23]Dennis Chau, Bradley McGinnis, Jonas Talandis, Jason Leigh, Tom Peterka, Aaron Knoll, Aslihan Sumer, Michael E. Papka, Julius Jellinek:
A simultaneous 2D/3D autostereo workstation. SD&A 2012: 82882N - [c22]Attila Gyulassy, Valerio Pascucci, Tom Peterka, Robert B. Ross:
The Parallel Computation of Morse-Smale Complexes. IPDPS 2012: 484-495 - [c21]Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang:
Scalable computation of distributions from large scale data sets. LDAV 2012: 113-120 - [c20]Tom Peterka, Robert B. Ross:
Versatile Communication Algorithms for Data Analysis. EuroMPI 2012: 275-284 - [c19]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:
The universe at extreme scale: multi-petaflop sky simulation on the BG/Q. SC 2012: 4 - [c18]Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka:
Parallel particle advection and FTLE computation for time-varying flow fields. SC 2012: 61 - [c17]Tom Peterka, Juliana Kwan, Adrian Pope, Hal Finkel, Katrin Heitmann, Salman Habib, Jingyuan Wang, George Zagaris:
Meshing the Universe: Integrating Analysis in Cosmological Simulations. SC Companion 2012: 186-195 - [c16]Christopher M. Sewell, Jeremy S. Meredith, Kenneth Moreland, Tom Peterka, David E. DeMarle, Li-Ta Lo, James P. Ahrens, Robert Maynard, Berk Geveci:
The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-Core and Many-Core Architectures. SC Companion 2012: 206-214 - [c15]Jay Takle, Katrin Heitmann, Tom Peterka, Deborah Silver, George Zagaris, Salman Habib:
Abstract: Tracking and Visualizing Evolution of the Universe: In Situ Parallel Dark Matter Halo Merger Trees. SC Companion 2012: 1482-1483 - [c14]Jay Takle, Katrin Heitmann, Tom Peterka, Deborah Silver, George Zagaris, Salman Habib:
Poster: Tracking and Visualizing the Evolution of the Universe: In situ Parallel Dark Matter Halo Merger Trees. SC Companion 2012: 1484 - [p2]Tom Peterka, Kwan-Liu Ma:
Parallel Image Compositing Methods. High Performance Visualization 2012 - [p1]David Pugmire, Tom Peterka, Christoph Garth:
Parallel Integral Curves. High Performance Visualization 2012 - [i1]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:
The Universe at Extreme Scale: Multi-Petaflop Sky Simulation on the BG/Q. CoRR abs/1211.4864 (2012) - 2011
- [j6]Wesley Kendall, Jian Huang, Tom Peterka, Robert Latham, Robert B. Ross:
Toward a General I/O Layer for Parallel-Visualization Applications. IEEE Computer Graphics and Applications 31(6): 6-10 (2011) - [c13]Tom Peterka, Robert B. Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wesley Kendall, Jian Huang:
A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields. IPDPS 2011: 580-591 - [c12]Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri:
Scalable parallel building blocks for custom data analysis. LDAV 2011: 105-112 - [c11]Wesley Kendall, Jingyuan Wang, Melissa R. Allen, Tom Peterka, Jian Huang, David Erickson:
Simplified parallel domain traversal. SC 2011: 10:1-10:11 - [c10]Kenneth Moreland, Wesley Kendall, Tom Peterka, Jian Huang:
An image compositing solution at scale. SC 2011: 25:1-25:10 - 2010
- [c9]Wesley Kendall, Tom Peterka, Jian Huang, Han-Wei Shen, Robert B. Ross:
Accelerating and Benchmarking Radix-k Image Compositing at Large Scale. EGPGV@Eurographics 2010: 101-110
2000 – 2009
- 2009
- [c8]Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma, Robert Latham:
End-to-End Study of Parallel Volume Rendering on the IBM Blue Gene/P. ICPP 2009: 566-573 - [c7]Wesley Kendall, Markus Glatter, Jian Huang, Tom Peterka, Robert Latham, Robert B. Ross:
Terascale data organization for discovering multivariate climatic trends. SC 2009 - [c6]Tom Peterka, David Goodell, Robert B. Ross, Han-Wei Shen, Rajeev Thakur:
A configurable algorithm for parallel image-compositing applications. SC 2009 - 2008
- [j5]Jinghua Ge, Daniel J. Sandin, Tom Peterka, Robert Kooima, Javier Girado, Andrew E. Johnson:
A Point-Based Asynchronous Remote Visualization Framework for Real-Time Virtual Reality. Int. J. Image Graph. 8(2): 189-207 (2008) - [j4]Tom Peterka, Robert Kooima, Daniel J. Sandin, Andrew E. Johnson, Jason Leigh, Thomas A. DeFanti:
Advances in the Dynallax Solid-State Dynamic Parallax Barrier Autostereoscopic Visualization Display System. IEEE Trans. Vis. Comput. Graph. 14(3): 487-499 (2008) - [c5]Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma:
Parallel Volume Rendering on the IBM Blue Gene/P. EGPGV@Eurographics 2008: 73-80 - 2007
- [c4]Robert Kooima, Tom Peterka, Javier Girado, Jinghua Ge, Daniel J. Sandin, Thomas A. DeFanti:
A GPU Sub-pixel Algorithm for Autostereoscopic Virtual Reality. VR 2007: 131-137 - [c3]Tom Peterka, Robert Kooima, Javier Girado, Jinghua Ge, Daniel J. Sandin, Andrew E. Johnson, Jason Leigh, Jürgen P. Schulze, Thomas A. DeFanti:
Dynallax: Solid State Dynamic Parallax Barrier Autostereoscopic VR Display. VR 2007: 155-162 - 2006
- [j3]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:
The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory. Future Gener. Comput. Syst. 22(8): 964-971 (2006) - [j2]Tom Peterka, Daniel J. Sandin, Jinghua Ge, Javier Girado, Robert Kooima, Jason Leigh, Andrew E. Johnson, Marcus Thiébaux, Thomas A. DeFanti:
Personal Varrier: Autostereoscopic virtual reality display for distributed scientific visualization. Future Gener. Comput. Syst. 22(8): 976-983 (2006) - [c2]Jinghua Ge, Daniel J. Sandin, Andrew E. Johnson, Tom Peterka, Robert Kooima, Javier Girado, Thomas A. DeFanti:
Point-based VR visualization for large-scale mesh datasets by real-time remote computation. VRCIA 2006: 43-50 - 2005
- [j1]Daniel J. Sandin, Todd Margolis, Jinghua Ge, Javier Girado, Tom Peterka, Thomas A. DeFanti:
The VarrierTM autostereoscopic virtual reality display. ACM Trans. Graph. 24(3): 894-903 (2005) - [c1]Jinghua Ge, Dan Sandin, Tom Peterka, Todd Margolis, Thomas A. DeFanti:
Camera Based Automatic Calibration for the Varrier-System. CVPR Workshops 2005: 110
Coauthor Index
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