Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (12): 43-48.doi: 10.11896/jsjkx.201200129

• Computer Architecture • Previous Articles     Next Articles

DGX-2 Based Optimization of Application for Turbulent Combustion

WEN Min-hua1, WANG Shen-peng1, WEI Jian-wen1, LI Lin-ying2, ZHANG Bin2, LIN Xin-hua1   

  1. 1 Center for High Performance Computing,Shanghai Jiao Tong University,Shanghai 200240,China
    2 School of Aeronautics and Astronautics,Shanghai Jiao Tong University,Shanghai 200240,China
  • Received:2020-12-14 Revised:2021-04-09 Online:2021-12-15 Published:2021-11-26
  • About author:WEN Min-hua,born in 1988,associate engineer,is a member of China Compu-ter Federation.His main research in-terests include engineering computing and so on.
    LIN Xin-hua,born in 1979,senior en-gineer,is a member of China Computer Federation.His main research interests include performance modeling and optimization.
  • Supported by:
    National Key Research and Development Program of China(2016YFB0201800).

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Abstract: Numerical simulation of turbulent combustion is a key tool for aeroengine design.Due to the need of high-precision model to Navier-Stokes equation,numerical simulation of turbulent combustion requires huge amount of calculations,and the phy-sicochemical models causes the flow field to be extremely complicated,making the load balancing a bottleneck for large-scale pa-rallelization.We port and optimize the numerical simulation method of turbulent combustion on a powerful computing server,DGX-2.We design the threading method of flux calculation and use Roofline model to guide the optimization.In addition,we design an efficient communication method and propose a multi-GPU parallel method for turbulent combustion based on high-speed interconnection of DGX-2.The results show that the performance of a single V100 GPU is 8.1x higher than that on dual-socket Intel Xeon 6248 CPU node with 40 cores.And the multi-GPU version on DGX-2 with 16 V100 GPUs achieves 66.1x speedup,which is higher than the best performance on CPU cluster.

Key words: CUDA, DGX-2, Navier-Stokes equation, Turbulent combustion

CLC Number: 

  • TP311.1
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