王哲
王哲
硕士生导师
岗位:副研究员
职务:
所属部门:先进交互式技术与应用发展部
学历:博士研究生
邮箱:zwang@cnic.cn
通讯地址:

学科专业(学术型/专业型):计算机应用技术/计算机技术

招生方向:

基于CFD数值模拟结果的科学可视化技术与应用

承担科研项目等情况

1、作为参与人参与E级超算项目中科学可视化相关任务。

2、作为主要参与人参与条件建设类项目“物理驱动数值仿真硬件平台”,负责大规模科学数据的预处理、特征提取与并行渲染。

3、作为项目负责人承担所内青年基金项目“基于湍流特征多维度表征的生成式可视分析方法”。


代表论著

[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)