Slotted Wavelength Scheduling for Bulk Transfers in Research Networks. - Zhe Wang 059; Sanjay Ranka; Ye Xia 001 (ICPP, 2009)

Thermal constrained workload distribution for maximizing throughput on multi-core processors. - Zhe Wang 059; Sanjay Ranka (Green Computing Conference, 2010)

A simple thermal model for multi-core processors and its application to slack allocation. - Zhe Wang 059; Sanjay Ranka (IPDPS, 2010)

Energy and performance tradeoffs for matrix multiplication on multicore machines. - Zhe Wang 059; Hengxing Tan; Sanjay Ranka (IGCC, 2012)

Temperature-aware Task Partitioning for Real-Time Scheduling in Embedded Systems. - Zhe Wang 059; Sanjay Ranka; Prabhat Mishra 001 (VLSI Design, 2012)

An overview and classification of thermal-aware scheduling techniques for multi-core processing systems. - Hafiz Fahad Sheikh; Ishfaq Ahmad 001; Zhe Wang 059; Sanjay Ranka (Sustain. Comput. Informatics Syst., 2012)

Task scheduling for energy optimization and temperature improvements. - Yifan Wang; Zhe Wang 059; Sanjay Ranka (ISCC, 2014)

Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications. - Yubo Qin; Anthony Simonet; Philip E. Davis; Azita Nouri; Zhe Wang 059; Manish Parashar; Ivan Rodero (ScienceCloud@HPDC, 2019)

Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. - Zhe Wang 059; Pradeep Subedi; Matthieu Dorier; Philip E. Davis; Manish Parashar (CLUSTER, 2020)

Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. - Zhe Wang 059; Pradeep Subedi; Shaohua Duan; Yubo Qin; Philip E. Davis; Anthony Simonet; Ivan Rodero; Manish Parashar (CoRR, 2020)

Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. - Zhe Wang 059; Pradeep Subedi; Matthieu Dorier; Philip E. Davis; Manish Parashar (HiPC, 2021)

Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. - Zhe Wang 059; Pradeep Subedi; Matthieu Dorier; Philip E. Davis; Manish Parashar (IPDPS Workshops, 2021)

An Adaptive Elasticity Policy For Staging Based In-Situ Processing. - Zhe Wang 059; Matthieu Dorier; Pradeep Subedi; Philip E. Davis; Manish Parashar (WORKS, 2021)

Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations. - Matthieu Dorier; Zhe Wang 059; Utkarsh Ayachit; Shane Snyder; Robert B. Ross; Manish Parashar (IPDPS, 2022)

Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization. - Zhe Wang 059; Matthieu Dorier; Manish Parashar (ISAV@SC, 2022)

FunMC2: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices. - Zhe Wang 059; Tushar M. Athawale; Kenneth Moreland; Jieyang Chen; Chris R. Johnson 001; David Pugmire (EGPGV@EuroVis, 2023)

Adaptive elasticity policies for staging-based in situ visualization. - Zhe Wang 059; Matthieu Dorier; Pradeep Subedi; Philip E. Davis; Manish Parashar (Future Gener. Comput. Syst., 2023)

Towards elastic in situ analysis for high-performance computing simulations. - Matthieu Dorier; Zhe Wang 059; Srinivasan Ramesh; Utkarsh Ayachit; Shane Snyder; Robert B. Ross; Manish Parashar (J. Parallel Distributed Comput., 2023)

A General Framework for Error-controlled Unstructured Scientific Data Compression. - Qian Gong; Zhe Wang 059; Viktor Reshniak; Xin Liang 001; Jieyang Chen; Qing Liu 002; Tushar M. Athawale; Yi Ju; Anand Rangarajan 001; Sanjay Ranka; Norbert Podhorszki; Rick Archibald; et al. (e-Science, 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 008; Zarija Lukic; Axel Huebl; Zhe Wang 059; James P. Ahrens; Dingwen Tao (SC, 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 059; Choong-Seock Chang; Seung-Hoe Ku; Robert Hager (VisGap@EuroVis, 2024)

Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty. - Tushar M. Athawale; Zhe Wang 059; Chris R. Johnson 001; David Pugmire (EuroVis (Short Papers), 2024)

FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices. - Gautam Hari; Nrushad Joshi; Zhe Wang 059; Qian Gong; Dave Pugmire; Kenneth Moreland; Chris R. Johnson 001; Scott Klasky; Norbert Podhorszki; Tushar M. Athawale (UncertaintyVis@VIS, 2024)

Uncertainty-Informed Volume Visualization using Implicit Neural Representation. - Shanu Saklani; Chitwan Goel; Shrey Bansal; Zhe Wang 059; Soumya Dutta; Tushar M. Athawale; David Pugmire; Christopher R. Johnson 001 (UncertaintyVis@VIS, 2024)

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; David Pugmire (CoRR, 2024)

In Situ Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; Guan Li; Guihua Shan; David Pugmire (Comput. Graph. Forum, 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; et al. (Int. J. High Perform. Comput. Appl., 2025)

Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. - Tushar M. Athawale; Zhe Wang 059; David Pugmire; Kenneth Moreland; Qian Gong; Scott Klasky; Chris R. Johnson 001; Paul Rosen 001 (IEEE Trans. Vis. Comput. Graph., 2025)