Honghui Shang

According to our database, Honghui Shang authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

2024

MPS-VQE: A variational quantum computational chemistry simulator with matrix product states.

Zhiqian Xu, Yi Fan, Chu Guo, Honghui Shang

Comput. Phys. Commun., January, 2024

Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms.

Honghui Shang, Ying Liu, Zhikun Wu, Zhenchuan Chen, Jinfeng Liu, Meiyue Shao, Yingzhou Li, Bowen Kan, Huimin Cui, Xiaobing Feng, Yunquan Zhang, Donald G. Truhlar, Hong An, Xiao He, Jinlong Yang

Proceedings of the International Conference for High Performance Computing, 2024

Scalable and Differentiable Simulator for Quantum Computational Chemistry.

Zhiqian Xu, Honghui Shang, Yi Fan, Xiongzhi Zeng, Yunquan Zhang, Chu Guo

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Differentiable matrix product states for simulating variational quantum computational chemistry.

Chu Guo, Yi Fan, Zhiqian Xu, Honghui Shang

Quantum, December, 2023

Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer.

Lei Xu, Honghui Shang, Xin Chen, Yunquan Zhang, Lifang Wang, Xingyu Gao, Haifeng Song

IEEE Trans. Parallel Distributed Syst., July, 2023

TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors.

Xin Chen, Yucheng Ouyang, Xin Chen, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Yin Liu, Honghui Shang, Haifeng Song

CoRR, 2023

Portable and Scalable All-Electron Quantum Perturbation Simulations on Exascale Supercomputers.

Zhikun Wu, Yangjun Wu, Ying Liu, Honghui Shang, Yingxiang Gao, Zhongcheng Zhang, Yuyang Zhang, Yingchi Long, Xiaobing Feng, Huimin Cui

Proceedings of the International Conference for High Performance Computing, 2023

NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry.

Yangjun Wu, Chu Guo, Yi Fan, Pengyu Zhou, Honghui Shang

Proceedings of the International Conference for High Performance Computing, 2023

2022

Scaling Poisson Solvers on Many Cores via MMEwald.

Mingchuan Wu, Yangjun Wu, Honghui Shang, Ying Liu, Huimin Cui, Fang Li, Xiaohui Duan, Yunquan Zhang, Xiaobing Feng

IEEE Trans. Parallel Distributed Syst., 2022

Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer.

Xin Chen, Yingxiang Gao, Honghui Shang, Fang Li, Zhiqian Xu, Xin Liu, Dexun Chen

IEEE Trans. Parallel Distributed Syst., 2022

Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer.

Honghui Shang, Li Shen, Yi Fan, Zhiqian Xu, Chu Guo, Jie Liu, Wenhao Zhou, Huan Ma, Rongfen Lin, Yuling Yang, Fang Li, Zhuoya Wang, Yunquan Zhang, Zhenyu Li

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Efficient parallel linear scaling method to get the response density matrix in all-electron real-space density-functional perturbation theory.

Honghui Shang, WanZhen Liang, Yunquan Zhang, Jinlong Yang

Comput. Phys. Commun., 2021

Many-core acceleration of the first-principles all-electron quantum perturbation calculations.

Honghui Shang, Xiaohui Duan, Fang Li, Libo Zhang, Zhiqian Xu, Kan Liu, Haiwen Luo, Yingrui Ji, Wenxuan Zhao, Wei Xue, Li Chen, Yunquan Zhang

Comput. Phys. Commun., 2021

Extreme-scale <i>ab initio</i> quantum raman spectra simulations on the leadership HPC system in China.

Honghui Shang, Fang Li, Yunquan Zhang, Libo Zhang, You Fu, Yingxiang Gao, Yangjun Wu, Xiaohui Duan, Rongfen Lin, Xin Liu, Ying Liu, Dexun Chen

Proceedings of the International Conference for High Performance Computing, 2021

Accelerating all-electron <i>ab initio</i> simulation of raman spectra for biological systems.

Honghui Shang, Fang Li, Yunquan Zhang, Ying Liu, Libo Zhang, Mingchuan Wu, Yangjun Wu, Di Wei, Huimin Cui, Xin Liu, Fei Wang, Yuxi Ye, Yingxiang Gao, Shuang Ni, Xin Chen, Dexun Chen

Proceedings of the International Conference for High Performance Computing, 2021

TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer.

Honghui Shang, Xin Chen, Xingyu Gao, Rongfen Lin, Lifang Wang, Fang Li, Qian Xiao, Lei Xu, Qiang Sun, Leilei Zhu, Fei Wang, Yunquan Zhang, Haifeng Song

Proceedings of the International Conference for High Performance Computing, 2021

SW_Qsim: a minimize-memory quantum simulator with high-performance on a new Sunway supercomputer.

Fang Li, Xin Liu, Yong Liu, Pengpeng Zhao, Yuling Yang, Honghui Shang, Weizhe Sun, Zhen Wang, Enming Dong, Dexun Chen

Proceedings of the International Conference for High Performance Computing, 2021

2020

The static parallel distribution algorithms for hybrid density-functional calculations in HONPAS package.

Xinming Qin, Honghui Shang, Lei Xu, Wei Hu, Jinlong Yang, Shigang Li, Yunquan Zhang

Int. J. High Perform. Comput. Appl., 2020

The dynamic parallel distribution algorithm for hybrid density-functional calculations in HONPAS package.

Honghui Shang, Lei Xu, Baodong Wu, Xinming Qin, Yunquan Zhang, Jinlong Yang

Comput. Phys. Commun., 2020

2019

OpenKMC: a KMC design for hundred-billion-atom simulation using millions of cores on Sunway Taihulight.

Kun Li, Honghui Shang, Yunquan Zhang, Shigang Li, Baodong Wu, Dong Wang, Libo Zhang, Fang Li, Dexun Chen, Zhiqiang Wei

Proceedings of the International Conference for High Performance Computing, 2019

2017

Lattice dynamics calculations based on density-functional perturbation theory in real space.

Honghui Shang, Christian Carbogno, Patrick Rinke, Matthias Scheffler

Comput. Phys. Commun., 2017