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Highly scalable implementation of an implicit matrix-free solver for gas dynamics on GPU-accelerated clusters
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  • 作者:Igor Menshov ; Pavel Pavlukhin
  • 关键词:CFD ; LU ; SGS ; Parallel algorithms ; CUDA ; MPI
  • 刊名:The Journal of Supercomputing
  • 出版年:2017
  • 出版时间:February 2017
  • 年:2017
  • 卷:73
  • 期:2
  • 页码:631-638
  • 全文大小:
  • 刊物类别:Computer Science
  • 刊物主题:Programming Languages, Compilers, Interpreters; Processor Architectures; Computer Science, general;
  • 出版者:Springer US
  • ISSN:1573-0484
  • 卷排序:73
文摘
A numerical approach for solving gas dynamics on Cartesian grids is considered which employs an implicit time marching scheme with the matrix-free Lower-Upper Symmetric Gauss–Seidel (LU-SGS) method for solving discrete equations. Boundary conditions are treated with an embedded-boundary method. The method has two attractive features—(1) algorithmic uniformity of calculations and (2) structured memory accesses that well fit massively parallel architectures with GPU accelerators. We propose a novel CUDA+MPI computational algorithm scalable up to hundreds of GPUs and give in-depth analysis of its implementation (interoperability issues, libraries tuning).

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