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On Implementation High-Scalable CFD Solvers for Hybrid Clusters with Massively-Parallel Architectures

机译:具有大规模并行体系结构的混合集群的实现可扩展CFD解决方案的研究

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New approach for solving of compressible fluid dynamic problems with complex geometry on Cartesian grids is proposed. It leads to algorithmic uniformity for whole domain and structured memory accesses which are essential for effective implementations on massively-parallel architectures - GPUs. Methods used axe based on implicit scheme and LU-SGS method. Novel parallel algorithm for last one is proposed. In-depth analysis of CUDA+MPI implementation (interoperability issues, libraries tuning) scalable up to hundreds GPUs is performed.
机译:提出了一种解决笛卡尔网格上具有复杂几何形状的可压缩流体动力学问题的新方法。它导致整个域和结构化内存访问的算法统一性,这对于在大规模并行体系结构(GPU)上的有效实现至关重要。方法采用基于隐式方案和LU-SGS方法的斧头。提出了一种新的并行算法。对可扩展至多达数百个GPU的CUDA + MPI实施(互操作性问题,库调整)进行了深入分析。

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