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Toward the design of a novel hybrid parallel N-body method in scope of modern cloud architectures

机译:面向现代云架构范围的新型混合并行N体方法设计

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摘要

A hybrid parallel self mesh-adaptive N-body method based on approximate inverses and multiprojection techniques is proposed. This method is a three-dimensional hybrid parallel mesh-type N-body scheme based on the solution of the Poisson equation in the physical space with boundary conditions obtained from multipole expansion formulas. In order to improve the accuracy of the solution, especially in shallow regions, a self mesh-adaptive scheme is used to create a hierarchy of independent smaller N-body problems. The parallelization of the scheme is based on a uniform partitioning of the bodies with respect to available computer nodes, and communications are required only for the computation of the density and potential distributions. The proposed scheme is suitable for large-scale galaxy simulations with millions of bodies on high-resolution meshes, for distributed HPC systems with multicore computer nodes. Moreover, large-scale galaxy simulations are performed on modern Cloud environments in order to examine the applicability and performance. Implementation issues concerning the proposed scheme are also discussed. The parallel performance and speedup of the hybrid parallel N-body method on HPC systems as well as on Cloud environments are presented and discussed.
机译:提出了一种基于近似逆和多投影技术的混合并行自网格自适应N体方法。该方法是基于混合空间中泊松方程解的三维混合并行网格型N体方案,其边界条件是根据多极展开公式获得的。为了提高求解的准确性,尤其是在浅水区,采用了自适应网格的方案来创建独立的较小N体问题的层次结构。该方案的并行化基于主体相对于可用计算机节点的均匀划分,并且仅在密度和电势分布的计算中才需要通信。所提出的方案适用于在高分辨率网格上具有数百万个物体的大规模星系模拟,以及具有多核计算机节点的分布式HPC系统。此外,为了检验适用性和性能,在现代云环境中执行了大规模星系模拟。还讨论了有关拟议方案的实施问题。提出并讨论了在HPC系统以及云环境中混合并行N体方法的并行性能和加速。

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