学科专业(学术型/专业型):计算机应用技术/计算机技术
科学可视化、智能可视分析
1.国家重大任务子课题1项(参与人)。
2.中心基础研究基金1项(负责人)。
[1] Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, and David Pugmire. “Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead.” IEEE Transactions on Visualization and Computer Graphics (2025). (CCF A类期刊)
[2] Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, Guan Li, Guihua Shan, David Pugmire. “In Situ Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection.” Eurographics Conference on Visualization 2025. (CCF B类会议)
[3] Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, and Manish Parashar. “Adaptive elasticity policies for staging-based in situ visualization.” Future Generation Computer Systems 142 (2023): 75-89. (中科院二区期刊)
[4] Dorier, Matthieu*, Zhe Wang*, Utkarsh Ayachit*, Shane Snyder, Rob Ross, and Manish Parashar. Colza: Enabling elastic in situ visualization for high-performance computing simulations.In 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 538-548. IEEE, 2022. (CCF B类会议)
[5] Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, and Manish Parashar. “Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing.” In 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC), pp. 242-251. IEEE, 2021. (CCF C类会议)
[6] Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, and Manish Parashar. “Staging based task execution for data-driven, in-situ scientific workflows.” In 2020 IEEE International Conference on Cluster Computing (CLUSTER), pp. 209-220. IEEE, 2020. (CCF B类会议)