Tom Peterka

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 85

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

CLUSTER

PacificVis

Publications

Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka
Wilkins: HPC In Situ Workflows Made Easy. CoRR (2024)
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) (2024)
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)
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. CoRR (2024)
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 (2024)
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
MFA-DVR: direct volume rendering of MFA models. J. Vis. 27 (1) (2024)
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 (2023)
David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka
Fourier-informed knot placement schemes for B-spline approximation. Math. Comput. Simul. 213 (2023)
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. CoRR (2023)
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) (2023)
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) (2023)
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) (2023)
Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis
LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS (2023)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71 (2023)
Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV (2023)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR (2023)
Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. PacificVis (2023)
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. BigData (2023)
Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. CoRR (2023)
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)
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) (2022)
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)
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
MFA-DVR: Direct Volume Rendering of MFA Models. CoRR (2022)
Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov
Towards Low-Overhead Resilience for Data Parallel Deep Learning. CCGRID (2022)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Adaptive Regularization of B-Spline Models for Scientific Data. CoRR (2022)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) (2022)
Hanqi Guo, Tom Peterka
Exact Analytical Parallel Vectors. CoRR (2021)
Hanqi Guo, Tom Peterka
Exact Analytical Parallel Vectors. IEEE VIS (Short Papers) (2021)
Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka
Shared-Memory Communication for Containerized Workflows. CCGRID (2021)
Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka
Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows. WORKS (2021)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
Reinforcement Learning for Load-balanced Parallel Particle Tracing. CoRR (2021)
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) (2021)
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) (2021)
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 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 (2021)
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) (2021)
Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen
IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. LDAV (2021)
David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka
Fourier-Informed Knot Placement Schemes for B-Spline Approximation. CoRR (2020)
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 (2020)
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 (2020)
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)
Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka
eFESTA: Ensemble Feature Exploration with Surface Density Estimates. IEEE Trans. Vis. Comput. Graph. 26 (4) (2020)
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) (2020)
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)
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)
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) (2020)
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 (2020)
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)
Matthieu Dorier, Orcun Yildiz, Tom Peterka, Robert B. Ross
The challenges of elastic in situ analysis and visualization. ISAV@SC (2019)
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)
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) (2019)
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 (2019)
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) (2019)
Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka
Heterogeneous Hierarchical Workflow Composition. Comput. Sci. Eng. 21 (4) (2019)
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 (2019)
Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu
Rational Approximation of Scientific Data. ICCS (1) (2019)
Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis (2018)
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)
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) (2018)
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)
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)
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)
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) (2018)
Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka
Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing. PacificVis (2018)
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)
Matthieu Dreher, Swann Perarnau, Tom Peterka, Kamil Iskra, Peter H. Beckman
In Situ Workflows at Exascale: System Software to the Rescue. ISAV@SC (2017)
Clément Mommessin, Matthieu Dreher, Bruno Raffin, Tom Peterka
Automatic Data Filtering for In Situ Workflows. CLUSTER (2017)
Matthieu Dorier, Matthieu Dreher, Tom Peterka, Robert B. Ross
CoSS: proposing a contract-based storage system for HPC. PDSW-DISCS@SC (2017)
Matthieu Dreher, Kiran Sasikumar, Subramanian Sankaranarayanan, Tom Peterka
Manala: A Flexible Flow Control Library for Asynchronous Task Communication. CLUSTER (2017)
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)
Pierre-Louis Guhur, Emil M. Constantinescu, Debojyoti Ghosh, Tom Peterka, Franck Cappello
Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. CLUSTER (2017)
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) (2017)
Youssef S. G. Nashed, Tom Peterka, Junjing Deng, Chris Jacobsen
Distributed Automatic Differentiation for Ptychography. ICCS (2017)
Hanqi Guo, Tom Peterka, Andreas Glatz
In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations. PacificVis (2017)
Dmitriy Morozov, Tom Peterka
Block-parallel data analysis with DIY2. LDAV (2016)
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) (2016)
Matthieu Dreher, Tom Peterka
Bredala: Semantic Data Redistribution for In Situ Applications. CLUSTER (2016)
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) (2016)
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)
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) (2016)
Dmitriy Morozov, Tom Peterka
Efficient delaunay tessellation through K-D tree decomposition. SC (2016)
Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, Alok N. Choudhary
Parallel DTFE Surface Density Field Reconstruction. CLUSTER (2016)
Tom Peterka, Hadrien Croubois, Nan Li, Esteban Rangel, Franck Cappello
Self-Adaptive Density Estimation of Particle Data. SIAM J. Sci. Comput. 38 (5) (2016)
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)
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) (2016)
Matthieu Dorier, Matthieu Dreher, Tom Peterka, Justin M. Wozniak, Gabriel Antoniu, Bruno Raffin
Lessons Learned from Building In Situ Coupling Frameworks. ISAV@SC (2015)
Tom Peterka, Dmitriy Morozov, Carolyn L. Phillips
High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation. SC (2014)
Kewei Lu, Han-Wei Shen, Tom Peterka
Scalable Computation of Stream Surfaces on Large Scale Vector Fields. SC (2014)
Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis (2014)
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) (2014)
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) (2014)
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) (2013)
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)
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)
Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
Efficient range distribution query in large-scale scientific data. LDAV (2013)
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)
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)
Wesley Kendall, Jian Huang, Tom Peterka
Geometric Quantification of Features in Large Flow Fields. IEEE Computer Graphics and Applications 32 (4) (2012)
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)
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 (2012)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tom Peterka