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Compute Unified Device Architecture Implementation of Euler/

發(fā)布時間:2021-06-28 21:47
  Personal desktop platform with teraflops peak performance of thousands of cores is realized at the price of conventional workstations using the programmable graphics processing units(GPUs).A GPU-based parallel Euler/Navier-Stokes solver is developed for 2-D compressible flows by using NVIDIA′s Compute Unified Device Architecture(CUDA)programming model in CUDA Fortran programming language.The techniques of implementation of CUDA kernels,double-layered thread hierarchy and variety memory hierarchy... 

【文章來源】:Transactions of Nanjing University of Aeronautics and Astronautics. 2016,33(05)EICSCD

【文章頁數(shù)】:10 頁

【文章目錄】:
0 Introduction
1 Governing Equations and Numeri-cal Approach
    1.1 Governing equations
    1.2 Numerical approach
2 Programming Model and GPU Im-plementation
    2.1 GPU architecture
    2.2 Programming model
    2.3 CUDA implementation
3 Results and Discussions
    3.1 Validation of GPU implementation of Euler/Navier-Stokes solver
    3.2 Performance results and evaluation
4 Conclusions


【參考文獻】:
期刊論文
[1]實時飛行器仿真系統(tǒng)的液體載荷動力學算法[J]. 顧安平,徐錦法.  南京航空航天大學學報. 2013(04)
[2]基于多GPU的大型線性和非線性方程組的求解(英文)[J]. 劉沙,鐘誠文,陳效鵬.  Transactions of Nanjing University of Aeronautics & Astronautics. 2011(03)
[3]基于GPU和隱式格式的CFD并行計算方法[J]. 張兵,韓景龍.  航空學報. 2010(02)



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