Weile Jia

According to our database, Weile Jia authored at least 22 papers between 2011 and 2024.

Collaborative distances:

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

2024

Training one DeePMD Model in Minutes: a Step towards Online Learning.

Siyu Hu, Tong Zhao, Qiuchen Sha, Enji Li, Xiangyu Meng, Liping Liu, Lin-Wang Wang, Guangming Tan, Weile Jia

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design.

Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023

Enhance the Strong Scaling of LAMMPS on Fugaku.

Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia, Guojun Yuan, Zhan Wang

Proceedings of the International Conference for High Performance Computing, 2023

RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy.

Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms.

Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia

CoRR, 2022

2.5 Million-Atom Ab Initio Electronic-Structure Simulation of Complex Metallic Heterostructures with DGDFT.

Wei Hu, Hong An, Zhuoqiang Guo, Qingcai Jiang, Xinming Qin, Junshi Chen, Weile Jia, Chao Yang, Zhaolong Luo, Jielan Li, Wentiao Wu, Guangming Tan, Dongning Jia, Qinglin Lu, Fangfang Liu, Min Tian, Fang Li, Yeqi Huang, Liyi Wang, Sha Liu, Jinlong Yang

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

Extending the limit of molecular dynamics with <i>ab initio</i> accuracy to 10 billion atoms.

Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

2021

Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks.

Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin

J. Comput. Phys., 2021

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with <i>ab initio</i> accuracy.

Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang

Comput. Phys. Commun., 2021

Editorial for the special issue on large-scale AI in classical HPC environment and AI for science.

Wei Xue, Haohuan Fu, Weile Jia, Guangming Tan

CCF Trans. High Perform. Comput., 2021

2020

ELSI - An open infrastructure for electronic structure solvers.

Victor Wen-zhe Yu, Carmen Campos, William Dawson, Alberto García, Ville Havu, Ben Hourahine, William P. Huhn, Mathias Jacquelin, Weile Jia, Murat Keçeli, Raul Laasner, Yingzhou Li, Lin Lin, Jianfeng Lu, Jonathan Moussa, José E. Román, Álvaro Vázquez-Mayagoitia, Chao Yang, Volker Blum

Comput. Phys. Commun., 2020

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy.

Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang

CoRR, 2020

Pushing the limit of molecular dynamics with <i>ab initio</i> accuracy to 100 million atoms with machine learning.

Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang

Proceedings of the International Conference for High Performance Computing, 2020

2019

Fast real-time time-dependent hybrid functional calculations with the parallel transport gauge and the adaptively compressed exchange formulation.

Weile Jia, Lin Lin

Comput. Phys. Commun., 2019

Parallel transport time-dependent density functional theory calculations with hybrid functional on summit.

Weile Jia, Lin-Wang Wang, Lin Lin

Proceedings of the International Conference for High Performance Computing, 2019

2018

ELSI: A unified software interface for Kohn-Sham electronic structure solvers.

Victor Wen-zhe Yu, Fabiano Corsetti, Alberto García, William P. Huhn, Mathias Jacquelin, Weile Jia, Björn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, Ali Seifitokaldani, Álvaro Vázquez-Mayagoitia, Chao Yang, Haizhao Yang, Volker Blum

Comput. Phys. Commun., 2018

A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems.

Mathias Jacquelin, Lin Lin, Weile Jia, Yonghua Zhao, Chao Yang

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2018

2017

GPU implementation of the linear scaling three dimensional fragment method for large scale electronic structure calculations.

Weile Jia, Jue Wang, Xuebin Chi, Lin-Wang Wang

Comput. Phys. Commun., 2017

SGO: A fast engine for ab initio atomic structure global optimization by differential evolution.

Zhanghui Chen, Weile Jia, Xiangwei Jiang, Shu-Shen Li, Lin-Wang Wang

Comput. Phys. Commun., 2017

2013

Fast plane wave density functional theory molecular dynamics calculations on multi-GPU machines.

Weile Jia, Jiyun Fu, Zongyan Cao, Long Wang, Xuebin Chi, Weiguo Gao, Lin-Wang Wang

J. Comput. Phys., 2013

The analysis of a plane wave pseudopotential density functional theory code on a GPU machine.

Weile Jia, Zongyan Cao, Long Wang, Jiyun Fu, Xuebin Chi, Weiguo Gao, Lin-Wang Wang

Comput. Phys. Commun., 2013

2011

Large scale plane wave pseudopotential density functional theory calculations on GPU clusters.

Long Wang, Yue Wu, Weile Jia, Weiguo Gao, Xuebin Chi, Lin-Wang Wang

Proceedings of the Conference on High Performance Computing Networking, 2011