Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (4): 13-17.doi: 10.11896/jsjkx.191000010

• Computer Architecture • Previous Articles     Next Articles

Extreme-scale Simulation Based LBM Computing Fluid Dynamics Simulations

LV Xiao-jing1, LIU Zhao2, CHU Xue-sen3, SHI Shu-peng1, MENG Hong-song1, HUANG Zhen-chun2   

  1. 1 National Supercomputing Center in Wuxi,Wuxi,Jiangsu 214072,China;
    2 Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China;
    3 China Ship Scientific Research Center,Wuxi,Jiangsu 214072,China
  • Received:2019-09-08 Online:2020-04-15 Published:2020-04-15
  • Contact: LIU Zhao,born in 1986,Ph.D,is a member of China Computer Federation.His main research interests include high performance computing and computer architecture.
  • About author:LV Xiao-jing,born in 1989,postgradua-te,is a member of China Computer Fede-ration.Her main research interests include parallel algorithm and application.
  • Supported by:
    This work was supported by National Key R&D Program of China (2017YFB0203602)．

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Abstract: Lattice Boltzmann Method (LBM) is a computational fluid dynamics method based on mesoscopic simulation scales and has been widely used in theoretical research and processing engineering problems.Improving the parallel simulation capability of LBM Computing Fluid software is an important study for high performance computing and applications.The research aims to design and implement a set of highly efficient extended LBM computational fluid dynamics software based on the “Sunway TaihuLight” supercomputing system.According to the architecture of domestic multi-core processor SW26010,several parallel optimization multi-level parallelism techniques to boost the simulation speed and improve the scalability of SWLBM are designed,including date reuse of 19-point stencil,vectorization of collision process and communication overlap computing.Based on these parallel optimization schemes,the numerical simulation with over 10million cores and up to 5.6trillion grids is tested and the SWLBM software can bring up to 172x speed up and achieve a sustained floating of 4.7 PFlops.Compared with the million-core 10000*10000*5000 grid wind filed simulation,the SWLBM machine has a core efficiency of 87%.Test results show that SWLBM has the ability to provide practical large-scale parallel simulation solutions for industrial applications.

Key words: Lattice Boltzmann method, Multi-level parallelism, Parallel optimization, SW26010

CLC Number: 

  • TP391
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