Xuesen Chu

According to our database, Xuesen Chu authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SunwayLB: Enabling Extreme-Scale Lattice Boltzmann Method Based Computing Fluid Dynamics Simulations on Advanced Heterogeneous Supercomputers.

Zhao Liu, Xuesen Chu, Xiaojing Lv, Hongsong Meng, Hanyue Liu, Guanghui Zhu, Haohuan Fu, Guangwen Yang

IEEE Trans. Parallel Distributed Syst., February, 2024

2023

OSTTD: Offloading of Splittable Tasks With Topological Dependence in Multi-Tier Computing Networks.

Rui Zhang, Xuesen Chu, Ruhui Ma, Meng Zhang, Liwei Lin, Honghao Gao, Haibing Guan

IEEE J. Sel. Areas Commun., 2023

Accelerating Large-Scale CFD Simulations with Lattice Boltzmann Method on a 40-Million-Core Sunway Supercomputer.

Zhao Liu, Xuesen Chu, Xiaojing Lv, Hanyue Liu, Haohuan Fu, Guangwen Yang

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

Development Progress of SWLBM a Framework Based on Lattice Boltzmann Method for Fluid Dynamics Simulation.

Xuesen Chu, He Xiang, Li Fang, Liu Zhao, Guangwen Yang

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2022

2020

基于十亿亿次国产超算系统的流体力学软件众核适应性研究 (Research on Adaptation of CFD Software Based on Many-core Architecture of 100P Domestic Supercomputing System).

Fang Li, Zhihui Li, Jinxiu Xu, Hao Fan, Xuesen Chu, Xinliang Li

计算机科学, 2020

Parallel Computing and Optimization of Lattice Boltzmann Method Based on SW26010 Processor.

Xiaoxiao Zhang, Liangjun Wang, Xuesen Chu, Hu Ding, Wu Zhang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019

SunwayLB: Enabling Extreme-Scale Lattice Boltzmann Method Based Computing Fluid Dynamics Simulations on Sunway TaihuLight.

Zhao Liu, Xuesen Chu, Xiaojing Lv, Hongsong Meng, Shupeng Shi, Wenji Han, Jingheng Xu, Haohuan Fu, Guangwen Yang

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019