Zhe Wang

33 papers A 3B 2C 2Misc 2Journal 13Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMs.
CoRR
Guanghui Zhao, Zhe Wang, Yu Dong, Guan Li, Guihua Shan
2025 J jnl
A General Framework for Error-controlled Unstructured Scientific Data Compression.
CoRR
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2025 J jnl
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead.
IEEE Trans. Vis. Comput. Graph.
Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire
2025 J jnl
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.
Int. J. High Perform. Comput. Appl.
James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure
2025 J jnl
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.
IEEE Trans. Vis. Comput. Graph.
Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen
2024 B conf
A General Framework for Error-controlled Unstructured Scientific Data Compression.
e-Science
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024 A conf
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 J jnl
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 — conf
Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty.
EuroVis (Short Papers)
Tushar M. Athawale, Zhe Wang, Chris R. Johnson, David Pugmire
2024 — conf
FunM
UncertaintyVis@VIS
Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale
2024 J jnl
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead.
CoRR
Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire
2024 — conf
Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations.
VisGap@EuroVis
David Pugmire, Jong Youl Choi, Scott Klasky, Kenneth Moreland, Eric Suchyta, Tushar M. Athawale, Zhe Wang, Choong-Seock Chang, Seung-Hoe Ku, Robert Hager
2024 J jnl
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.
CoRR
Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen
2024 — conf
Uncertainty-Informed Volume Visualization using Implicit Neural Representation.
UncertaintyVis@VIS
Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson
2024 J jnl
Uncertainty-Informed Volume Visualization using Implicit Neural Representation.
CoRR
Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson
2023 J jnl
Adaptive elasticity policies for staging-based
Future Gener. Comput. Syst.
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
2023 — conf
FunMC
EGPGV@EuroVis
Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire
2023 J jnl
Towards
J. Parallel Distributed Comput.
Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar
2022 A conf
Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations.
IPDPS
Matthieu Dorier, Zhe Wang, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar
2022 — conf
Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization.
ISAV@SC
Zhe Wang, Matthieu Dorier, Manish Parashar
2021 Misc conf
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing.
HiPC
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2021 — conf
An Adaptive Elasticity Policy For Staging Based In-Situ Processing.
WORKS
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
2021 — conf
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows.
IPDPS Workshops
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2020 J jnl
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows.
CoRR
Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar
2020 C conf
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows.
CLUSTER
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2019 — conf
Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications.
ScienceCloud@HPDC
Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero
2014 C conf
Task scheduling for energy optimization and temperature improvements.
ISCC
Yifan Wang, Zhe Wang, Sanjay Ranka
2012 J jnl
An overview and classification of thermal-aware scheduling techniques for multi-core processing systems.
Sustain. Comput. Informatics Syst.
Hafiz Fahad Sheikh, Ishfaq Ahmad, Zhe Wang, Sanjay Ranka
2012 — conf
Energy and performance tradeoffs for matrix multiplication on multicore machines.
IGCC
Zhe Wang, Hengxing Tan, Sanjay Ranka
2012 Misc conf
Temperature-aware Task Partitioning for Real-Time Scheduling in Embedded Systems.
VLSI Design
Zhe Wang, Sanjay Ranka, Prabhat Mishra
2010 A conf
A simple thermal model for multi-core processors and its application to slack allocation.
IPDPS
Zhe Wang, Sanjay Ranka
2010 — conf
Thermal constrained workload distribution for maximizing throughput on multi-core processors.
Green Computing Conference
Zhe Wang, Sanjay Ranka
2009 B conf
Slotted Wavelength Scheduling for Bulk Transfers in Research Networks.
ICPP
Zhe Wang, Sanjay Ranka, Ye Xia