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:

基于数值模拟的大规模科学计算可视化以及可视化工作流


承担科研项目等情况

博士和博士后期间参与到美国能源部资助的E级超算项目(Exascale Computing Project),以及RAPIDS2项目。


代表论著

1. [EuroVis'24] Tushar M. Athawale, Zhe Wang, Chris R. Johnson and David Pugmire. “Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty”. EuroVis- Short Papers, The Eurographics Association, 2024 .

2. [EGPGV’23] Zhe Wang* ,Tushar M. Athawale* ,Kenneth Moreland* ,Jieyang Chen ,Chris R. Johnson and David Pugmire. “FunMC2:A Filter for Uncertainty Visualization of Marching Cubes on MultiCore Devices”. The Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) ,2023. (共同第一作者)

3. [JPDC’23] Dorier ,Matthieu ,Zhe Wang ,Srinivasan Ramesh ,Utkarsh Ayachit ,Shane Snyder ,Rob Ross ,and Manish Parashar. “Towards elastic in situ analysis for high-performance computing simulations.” Journal of Parallel and Distributed Computing 177 (2023):106-116.

4. [FGCS’23] 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.

5. [IPDPS’22] 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.

6. [CLUSTER’20] 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.

7. [HiPC’21] 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.

8. [ISAV’22] Zhe Wang ,Matthieu Dorier, and Manish Parashar. ”Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization.” In 2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV), pp. 7-13. IEEE ,2022.

9. [WORKS’21] Zhe Wang ,Matthieu Dorier, Pradeep Subedi ,Philip E. Davis ,and Manish Parashar. “An adaptive elasticity policy for staging based in-situ processing.” In 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), pp. 33-41. IEEE, 2021.

10.  [HPS’20] Zhe Wang ,Pradeep Subedi, Matthieu Dorier ,Philip E. Davis ,and Manish Parashar. “Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows.” In 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 960- 964. IEEE ,2021.