Zhe Wang

According to our database, Zhe Wang authored at least 28 papers between 2009 and 2025.

Collaborative distances:

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

2025

Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.

Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen

IEEE Trans. Vis. Comput. Graph., January, 2025

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.

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

Int. J. High Perform. Comput. Appl., 2025

<i>In Situ</i> Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection.

Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, Guan Li, Guihua Shan, David Pugmire

Comput. Graph. Forum, 2025

2024

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead.

Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire

CoRR, 2024

Uncertainty-Informed Volume Visualization using Implicit Neural Representation.

Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson

Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

FunM²C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices.

Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale

Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty.

Tushar M. Athawale, Zhe Wang, Chris R. Johnson, David Pugmire

Proceedings of the 26th Eurographics Conference on Visualization, 2024

Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations.

David Pugmire, Jong Youl Choi, Scott Klasky, Kenneth Moreland, Eric Suchyta, Tushar M. Athawale, Zhe Wang, Choong-Seock Chang, Seung-Hoe Ku, Robert Hager

Proceedings of the Gap between Visualization Research and Visualization Software, 2024

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.

Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2024

A General Framework for Error-controlled Unstructured Scientific Data Compression.

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

Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023

Towards <i>elastic</i> in situ analysis for high-performance computing simulations.

Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar

J. Parallel Distributed Comput., July, 2023

Adaptive elasticity policies for staging-based <i>in situ</i> visualization.

Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar

Future Gener. Comput. Syst., May, 2023

FunMC²: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices.

Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire

Proceedings of the 23rd Eurographics Symposium on Parallel Graphics and Visualization, 2023

2022

Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization.

Zhe Wang, Matthieu Dorier, Manish Parashar

Proceedings of the IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2022

Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations.

Matthieu Dorier, Zhe Wang, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

An Adaptive Elasticity Policy For Staging Based In-Situ Processing.

Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows.

Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing.

Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows.

Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar

CoRR, 2020

Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows.

Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications.

Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

2014

Task scheduling for energy optimization and temperature improvements.

Yifan Wang, Zhe Wang, Sanjay Ranka

Proceedings of the IEEE Symposium on Computers and Communications, 2014

2012

An overview and classification of thermal-aware scheduling techniques for multi-core processing systems.

Hafiz Fahad Sheikh, Ishfaq Ahmad, Zhe Wang, Sanjay Ranka

Sustain. Comput. Informatics Syst., 2012

Temperature-aware Task Partitioning for Real-Time Scheduling in Embedded Systems.

Zhe Wang, Sanjay Ranka, Prabhat Mishra

Proceedings of the 25th International Conference on VLSI Design, 2012

Energy and performance tradeoffs for matrix multiplication on multicore machines.

Zhe Wang, Hengxing Tan, Sanjay Ranka

Proceedings of the 2012 International Green Computing Conference, 2012

2010

A simple thermal model for multi-core processors and its application to slack allocation.

Zhe Wang, Sanjay Ranka

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Thermal constrained workload distribution for maximizing throughput on multi-core processors.

Zhe Wang, Sanjay Ranka

Proceedings of the International Green Computing Conference 2010, 2010

2009

Slotted Wavelength Scheduling for Bulk Transfers in Research Networks.

Zhe Wang, Sanjay Ranka, Ye Xia

Proceedings of the ICPP 2009, 2009