Attila Gyulassy

According to our database, Attila Gyulassy authored at least 47 papers between 2003 and 2024.

Collaborative distances:

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

2024

Exploring Classification of Topological Priors With Machine Learning for Feature Extraction.

Samuel Leventhal, Attila Gyulassy, Mark Heimann, Valerio Pascucci

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

2023

Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks.

Samuel Leventhal, Attila Gyulassy, Valerio Pascucci, Mark Heimann

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Towards replacing physical testing of granular materials with a Topology-based Model.

Aniketh Venkat, Attila Gyulassy, Graham Kosiba, Amitesh Maiti, Henry Reinstein, Richard Gee, Peer-Timo Bremer, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2022

A Novel Tree Visualization to Guide Interactive Exploration of Multi-dimensional Topological Hierarchies.

Yarden Livnat, Dan Maljovec, Attila Gyulassy, Baptiste Mouginot, Valerio Pascucci

CoRR, 2022

High-Quality Progressive Alignment of Large 3D Microscopy Data.

Aniketh Venkat, Duong Hoang, Attila Gyulassy, Peer-Timo Bremer, Frederick Federer, Alessandra Angelucci, Valerio Pascucci

Proceedings of the 12th IEEE Symposium on Large Data Analysis and Visualization, 2022

Virtual Inspection of Additively Manufactured Parts.

Pavol Klacansky, Haichao Miao, Attila Gyulassy, Andrew Townsend, Kyle Champley, Joseph W. Tringe, Valerio Pascucci, Peer-Timo Bremer

Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

A Study of the Locality of Persistence-Based Queries and Its Implications for the Efficiency of Localized Data Structures.

Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci

Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021

Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements.

Torin McDonald, Will Usher, Nate Morrical, Attila Gyulassy, Steve Petruzza, Frederick Federer, Alessandra Angelucci, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2021

Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows.

Harsh Bhatia, Steve Petruzza, Rushil Anirudh, Attila Gyulassy, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Distributed merge forest: a new fast and scalable approach for topological analysis at scale.

Xuan Huang, Pavol Klacansky, Steve Petruzza, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

High-throughput feature extraction for measuring attributes of deforming open-cell foams.

Steve Petruzza, Attila Gyulassy, Samuel Leventhal, John J. Baglino, Michael Czabaj, Ashley D. Spear, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2020

Toward Localized Topological Data Structures: Querying the Forest for the Tree.

Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2020

2019

Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy.

Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2019

2018

TopoMS: Comprehensive topological exploration for molecular and condensed-matter systems.

Harsh Bhatia, Attila Gyulassy, Vincenzo Lordi, John E. Pask, Valerio Pascucci, Peer-Timo Bremer

J. Comput. Chem., 2018

Topological Data Analysis Made Easy with the Topology ToolKit.

Guillaume Favelier, Charles Gueunet, Attila Gyulassy, Julien Kitware, Joshua A. Levine, Jonas Lukasczyk, Daisuke Sakurai, Maxime Soler, Julien Tierny, Will Usher, Qi Wu

CoRR, 2018

Rendering and Extracting Extremal Features in 3D Fields.

Gordon L. Kindlmann, Charisee Chiw, T. Huynh, Attila Gyulassy, John H. Reppy, Peer-Timo Bremer

Comput. Graph. Forum, 2018

2017

Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms.

Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer

Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017

ISAVS: interactive scalable analysis and visualization system.

Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer

Proceedings of the SIGGRAPH ASIA 2017, Bangkok, Thailand, November 27 - 30, 2017, 2017

2016

Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Materials.

Attila Gyulassy, Aaron Knoll, Kah Chun Lau, Bei Wang, Peer-Timo Bremer, Michael E. Papka, Larry A. Curtiss, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2016

Interactive exploration of atomic trajectories through relative-angle distribution and associated uncertainties.

Harsh Bhatia, Attila Gyulassy, Valerio Pascucci, Martina Bremer, Mitchell T. Ong, Vincenzo Lordi, Erik W. Draeger, John E. Pask, Peer-Timo Bremer

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015

Computing Accurate Morse-Smale Complexes from Gradient Vector Fields.

Attila Gyulassy, Harsh Bhatia, Peer-Timo Bremer, Valerio Pascucci

Proceedings of the Green in Software Engineering, 2015

2014

Conforming Morse-Smale Complexes.

Attila Gyulassy, David Günther, Joshua A. Levine, Julien Tierny, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2014

Stability of Dissipation Elements: A Case Study in Combustion.

Attila Gyulassy, Peer-Timo Bremer, Ray W. Grout, Hemanth Kolla, Jacqueline Chen, Valerio Pascucci

Comput. Graph. Forum, 2014

In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees.

Aaditya G. Landge, Valerio Pascucci, Attila Gyulassy, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer

Proceedings of the International Conference for High Performance Computing, 2014

Analysis of Uncertain Scalar Data with Hixels.

Joshua A. Levine, David C. Thompson, Janine C. Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay

Proceedings of the Scientific Visualization, 2014

Large Scale Data Analysis.

Janine Bennett, Attila Gyulassy, Valerio Pascucci, Peer-Timo Bremer

Proceedings of the Scientific Visualization, 2014

Robust Detection of Singularities in Vector Fields.

Harsh Bhatia, Attila Gyulassy, Hao Wang, Peer-Timo Bremer, Valerio Pascucci

Proceedings of the Topological Methods in Data Analysis and Visualization III, 2014

2013

Exploring power behaviors and trade-offs of in-situ data analytics.

Marc Gamell, Ivan Rodero, Manish Parashar, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer, Aaditya G. Landge, Attila Gyulassy, Patrick S. McCormick, Scott Pakin, Valerio Pascucci, Scott Klasky

Proceedings of the International Conference for High Performance Computing, 2013

2012

Direct Feature Visualization Using Morse-Smale Complexes.

Attila Gyulassy, Natallia Kotava, Mark Kim, Charles D. Hansen, Hans Hagen, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2012

Computing Morse-Smale Complexes with Accurate Geometry.

Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2012

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.

Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pébay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen

Proceedings of the SC Conference on High Performance Computing Networking, 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

Scalable Visualization and Interactive Analysis Using Massive Data Streams.

Valerio Pascucci, Peer-Timo Bremer, Attila Gyulassy, Giorgio Scorzelli, Cameron Christensen, Brian Summa, Sidharth Kumar

Proceedings of the Transition of HPC Towards Exascale Computing, 2012

The ViSUS Visualization Framework.

Valerio Pascucci, Giorgio Scorzelli, Brian Summa, Peer-Timo Bremer, Attila Gyulassy, Cameron Christensen, Sujin Philip, Sidharth Kumar

Proceedings of the High Performance Visualization, 2012

2011

Analysis of large-scale scalar data using hixels.

David C. Thompson, Joshua A. Levine, Janine Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay

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

Visualization of discrete gradient construction.

Attila Gyulassy, Joshua A. Levine, Valerio Pascucci

Proceedings of the 27th ACM Symposium on Computational Geometry, 2011

Practical Considerations in Morse-Smale Complex Computation.

Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann, Valerio Pascucci

Proceedings of the Topological Methods in Data Analysis and Visualization, 2011

2009

Loop surgery for volumetric meshes: Reeb graphs reduced to contour trees.

Julien Tierny, Attila Gyulassy, Eddie Simon, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2009

Robust Topology-Based Multiscale Analysis of Scientific Data.

Attila Gyulassy, Luis Gustavo Nonato, Peer-Timo Bremer, Cláudio T. Silva, Valerio Pascucci

Comput. Sci. Eng., 2009

Time- and Space-efficient Error Calculation for Multiresolution Direct Volume Rendering.

Attila Gyulassy, Lars Linsen, Bernd Hamann

Proceedings of the Mathematical Foundations of Scientific Visualization, 2009

2008

A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality.

Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2008

2007

Efficient Computation of Morse-Smale Complexes for Three-dimensional Scalar Functions.

Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Bernd Hamann

IEEE Trans. Vis. Comput. Graph., 2007

Topologically Clean Distance Fields.

Attila Gyulassy, Mark A. Duchaineau, Vijay Natarajan, Valerio Pascucci, Eduardo M. Bringa, Andrew Higginbotham, Bernd Hamann

IEEE Trans. Vis. Comput. Graph., 2007

2006

A Topological Approach to Simplification of Three-Dimensional Scalar Functions.

Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann

IEEE Trans. Vis. Comput. Graph., 2006

2005

Topology-based Simplification for Feature Extraction from 3D Scalar Fields.

Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann

Proceedings of the 16th IEEE Visualization Conference, 2005

2003

Memory Hierarchy Optimizations and Performance ounds for Sparse A.

Rich Vuduc, Attila Gyulassy, James Demmel, Katherine A. Yelick

Proceedings of the Computational Science - ICCS 2003, 2003