Jacqueline H. Chen

28 papers B 2C 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows.
CoRR
Bruno S. Soriano, Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil
2024 — conf
The Pele Simulation Suite for Reacting Flows at Exascale.
PP
Marc T. Henry de Frahan, Lucas Esclapez, Jon S. Rood, Nicholas T. Wimer, Paul Mullowney, Bruce A. Perry, Landon Owen, Hariswaran Sitaraman, Shashank Yellapantula, Malik Hassanaly, Mohammad J. Rahimi, Michael James Martin, Olga A. Doronina, Sreejith N. A., Martin Rieth, Wenjun Ge, Ramanan Sankaran, Ann S. Almgren, Weiqun Zhang, John B. Bell, Ray W. Grout, Marc Day, Jacqueline H. Chen
2023 J jnl
Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows.
J. Comput. Phys.
Komal Kumari, Emmet Cleary, Swapnil Desai, Diego A. Donzis, Jacqueline H. Chen, Aditya Konduri
2023 J jnl
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis.
IEEE Trans. Vis. Comput. Graph.
Tyson Neuroth, Martin Rieth, Aditya Konduri, Myoungkyu Lee, Jacqueline H. Chen, Kwan-Liu Ma
2023 J jnl
PeleC: An adaptive mesh refinement solver for compressible reacting flows.
Int. J. High Perform. Comput. Appl.
Marc T. Henry de Frahan, Jon S. Rood, Marcus S. Day, Hariswaran Sitaraman, Shashank Yellapantula, Bruce A. Perry, Ray W. Grout, Ann S. Almgren, Weiqun Zhang, John B. Bell, Jacqueline H. Chen
2023 J jnl
Transfer learning for predicting source terms of principal component transport in chemically reactive flow.
CoRR
Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil
2023 J jnl
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.
CoRR
Wai Tong Chung, Bassem Akoush, Pushan Sharma, Alex Tamkin, Ki Sung Jung, Jacqueline H. Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y. Poludnenko, Matthias Ihme
2022 J jnl
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis.
CoRR
Tyson Neuroth, Martin Rieth, Aditya Konduri, Myoungkyu Lee, Jacqueline H. Chen, Kwan-Liu Ma
2022 J jnl
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning.
CoRR
Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen, Matthias Ihme
2020 — conf
DIVA: A Declarative and Reactive Language for in situ Visualization.
LDAV
Qi Wu, Tyson Neuroth, Oleg Igouchkine, Aditya Konduri, Jacqueline H. Chen, Kwan-Liu Ma
2020 J jnl
Diva: A Declarative and Reactive Language for In-Situ Visualization.
CoRR
Qi Wu, Tyson Neuroth, Oleg Igouchkine, Kwan-Liu Ma, Aditya Konduri, Jacqueline H. Chen
2018 J jnl
Optimal Compressed Sensing and Reconstruction of Unstructured Mesh Datasets.
Data Sci. Eng.
Maher Salloum, Nathan Fabian, David M. Hensinger, Jina Lee, Elizabeth M. Allendorf, Ankit Bhagatwala, Myra L. Blaylock, Jacqueline H. Chen, Jeremy A. Templeton, Irina Tezaur
2017 — conf
VIS Keynote Address: Analytics Inspired Visualization: a Holistic In-situ Scientific Workflow at Extreme Scale.
VAST
Jacqueline H. Chen
2016 J jnl
Trigger Detection for Adaptive Scientific Workflows Using Percentile Sampling.
SIAM J. Sci. Comput.
Janine C. Bennett, Ankit Bhagatwala, Jacqueline H. Chen, Ali Pinar, Maher Salloum, C. Seshadhri
2015 — conf
Enabling Adaptive Scientific Workflows Via Trigger Detection.
ISAV@SC
Maher Salloum, Janine C. Bennett, Ali Pinar, Ankit Bhagatwala, Jacqueline H. Chen
2015 J jnl
Enabling adaptive scientific workflows via trigger detection.
CoRR
Maher Salloum, Janine C. Bennett, Ali Pinar, Ankit Bhagatwala, Jacqueline H. Chen
2015 J jnl
Scalable Parallel Distance Field Construction for Large-Scale Applications.
IEEE Trans. Vis. Comput. Graph.
Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Hemanth Kolla, Jacqueline H. Chen
2015 J jnl
Trigger detection for adaptive scientific workflows using percentile sampling.
CoRR
Janine C. Bennett, Ankit Bhagatwala, Jacqueline H. Chen, C. Seshadhri, Ali Pinar, Maher Salloum
2012 C conf
A Job Scheduling Design for Visualization Services Using GPU Clusters.
CLUSTER
Wei-Hsien Hsu, Chun-Fu Wang, Kwan-Liu Ma, Hongfeng Yu, Jacqueline H. Chen
2012 — conf
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying.
DEXA (2)
John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, Neil Shah, Eric R. Schendel, Stéphane Ethier, Choong-Seock Chang, Jacqueline H. Chen, Hemanth Kolla, Scott Klasky, Robert B. Ross, Nagiza F. Samatova
2012 J jnl
Hierarchical Streamline Bundles.
IEEE Trans. Vis. Comput. Graph.
Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqueline H. Chen
2011 — conf
A Preview and Exploratory Technique for Large-Scale Scientific Simulations.
EGPGV@Eurographics
Anna Tikhonova, Hongfeng Yu, Carlos D. Correa, Jacqueline H. Chen, Kwan-Liu Ma
2011 B conf
Analyzing information transfer in time-varying multivariate data.
PacificVis
Chaoli Wang, Hongfeng Yu, Ray W. Grout, Kwan-Liu Ma, Jacqueline H. Chen
2011 B conf
Dual space analysis of turbulent combustion particle data.
PacificVis
Jishang Wei, Hongfeng Yu, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma
2011 J jnl
Feature-Based Statistical Analysis of Combustion Simulation Data.
IEEE Trans. Vis. Comput. Graph.
Janine Bennett, Vaidyanathan Krishnamoorthy, Shusen Liu, Ray W. Grout, Evatt R. Hawkes, Jacqueline H. Chen, Jason Shepherd, Valerio Pascucci, Peer-Timo Bremer
2011 — ch.
Topological Feature Extraction for Comparison of Terascale Combustion Simulation Data.
Topological Methods in Data Analysis and Visualization
Ajith Mascarenhas, Ray W. Grout, Peer-Timo Bremer, Evatt R. Hawkes, Valerio Pascucci, Jacqueline H. Chen
2010 J jnl
In Situ Visualization for Large-Scale Combustion Simulations.
IEEE Computer Graphics and Applications
Hongfeng Yu, Chaoli Wang, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma
2007 J jnl
Visualizing Multivariate Volume Data from Turbulent Combustion Simulations.
Comput. Sci. Eng.
Hiroshi Akiba, Kwan-Liu Ma, Jacqueline H. Chen, Evatt R. Hawkes