F
Fangfang Liu
Researcher at Chinese Academy of Sciences
Publications - 19
Citations - 659
Fangfang Liu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Supercomputer & Computer science. The author has an hindex of 8, co-authored 14 publications receiving 542 citations.
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Journal ArticleDOI
The Sunway TaihuLight supercomputer: system and applications
Haohuan Fu,Junfeng Liao,Jinzhe Yang,Lanning Wang,Zhenya Song,Xiaomeng Huang,Chao Yang,Wei Xue,Fangfang Liu,Fangli Qiao,Wei Zhao,Xunqiang Yin,Chaofeng Hou,Chenglong Zhang,Wei Ge,Jian Zhang,Yangang Wang,Chunbo Zhou,Guangwen Yang +18 more
TL;DR: Preliminary efforts on developing and optimizing applications on the TaihuLight system are reported, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation.
Proceedings ArticleDOI
10M-core scalable fully-implicit solver for nonhydrostatic atmospheric dynamics
Chao Yang,Wei Xue,Haohuan Fu,Hongtao You,Xinliang Wang,Yulong Ao,Fangfang Liu,Lin Gan,Ping Xu,Lanning Wang,Guangwen Yang,Weimin Zheng +11 more
TL;DR: An ultra-scalable fully-implicit solver is developed for stiff time-dependent problems arising from the hyperbolic conservation laws in nonhydrostatic atmospheric dynamics and a highly efficient hybrid domain-decomposed multigrid preconditioner is proposed that can greatly accelerate the convergence rate at the extreme scale.
Proceedings ArticleDOI
Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor
Lijuan Jiang,Chao Yang,Yulong Ao,Wanwang Yin,Wenjing Ma,Qiao Sun,Fangfang Liu,Rongfen Lin,Peng Zhang +8 more
TL;DR: This paper presents a detailed methodology of implementing and optimizing the double-precision general format matrix-matrix multiplication (DGEMM) kernel on the emerging SW26010 processor, which is used to build the Sunway TaihuLight supercomputer.
Proceedings ArticleDOI
26 PFLOPS Stencil Computations for Atmospheric Modeling on Sunway TaihuLight
Yulong Ao,Chao Yang,Xinliang Wang,Wei Xue,Haohuan Fu,Fangfang Liu,Lin Gan,Ping Xu,Wenjing Ma +8 more
TL;DR: This work presents a computation-communication overlapping technique to reduce the inter-process communication overhead, a locality- aware blocking method to fully exploit on-chip parallelism with enhanced data locality, and a collaborative data accessing scheme for sharing data among different threads.
Journal ArticleDOI
Performance Optimization of the HPCG Benchmark on the Sunway TaihuLight Supercomputer
TL;DR: This article utilizes a block multicoloring approach for parallelization and proposes methods such as requirement-based data mapping and customized gather collective to enhance the effective memory bandwidth in HPCG.