學(xué)科專業(yè)（學(xué)術(shù)型/專業(yè)型）：計(jì)算機(jī)應(yīng)用技術(shù)，計(jì)算機(jī)技術(shù)
[1] 國家重點(diǎn)研發(fā)計(jì)劃課題，生態(tài)系統(tǒng)智能運(yùn)行服務(wù)及云端支持機(jī)制, 主持，2024.12.01--2027.11.30
[2] 中國科學(xué)院計(jì)劃戰(zhàn)略性先導(dǎo)科技專項(xiàng)課題，適配國產(chǎn)異構(gòu)系統(tǒng)架構(gòu)的跨體系結(jié)構(gòu)開發(fā)框架，主持，2023.09.01--2026.08.31
[1] Junyu Gu, Shunde Li, Rongqiang Cao, Jue Wang, Zijian Wang, Zhiqiang Liang, Fang Liu, Shigang Li, Chunbao Zhou, Yangang Wang, Xuebin Chi. ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs. Proceedings of the 62st ACM/IEEE Design Automation Conference. 2025.
[2] Haisha Zhao, San Li, Jiaheng Wang, Chunbao Zhou, Jue Wang, Zhikuang Xin, Shunde Li, Zhiqiang Liang, Zhijie Pan, Fang Liu, Yan Zeng, Yangang Wang, and Xuebin Chi. Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores. In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP '25). 2025: 326–338.
[3] Shunde Li, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang, Yumeng Shi, Shigang Li, Weiting Xi, Shushen Li, Chunbao Zhou, Yangang Wang, and Xuebin Chi. POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters. In Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP '24). 2024:469–471.
[4] Kehao Lin, Chunbao Zhou, Yan Zeng, Ningming Nie, Jue Wang, Shigang Li, Yangde Feng, Yangang Wang, Kehan Yao, Tiechui Yao, Jilin Zhang, and Jian Wan. 2023. A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations. In Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP '23). 2023: 135–147.
[5] Yumeng Shi, Ningming Nie, Jue Wang, Kehao Lin, Chunbao Zhou, Shigang Li, Kehan Yao, Shunde Li, Yangde Feng, Yan Zeng, Fang Liu, Yangang Wang, and Yue Gao. 2023. Large-Scale Simulation of Structural Dynamics Computing on GPU Clusters. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23). 2023, 11:1–14.