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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.