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Shared-memory, distributed-memory, and mixed-mode parallelisation of a CFD simulation code

机译:CFD仿真代码的共享内存,分布式内存和混合模式并行化

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This paper presents some different approaches to the parallelisation of a harmonic balance Navier-Stokes solver for unsteady aerodynamics. Such simulation codes can require very large amounts of computational resource for realistic simulations, and therefore can benefit significantly from parallelisation. The simulation code addressed in this paper can undertake different modes of aerodynamic simulation and includes both harmonic balance and time domain solvers. These different modes have performance characteristics which can affect any potential parallelisation, as can the specifics of the problem being simulated. Therefore, three different techniques have been used for the parallelisation, shared-memory, distributed-memory, and a combination of the two-a hybrid or mixed-mode parallelisation. These different techniques attempt to address the different performance requirements associated with the types of simulation the code can be used for and provide the level of computational resources required for significant simulation problems. We discuss the different parallelisations and the performance they exhibit on a range of computational resources.
机译:本文提出了几种用于不稳定空气动力学的谐波平衡Navier-Stokes求解器并行化的不同方法。这样的仿真代码可能需要非常大量的计算资源用于实际仿真,因此可以从并行化中受益匪浅。本文介绍的仿真代码可以进行不同的空气动力学仿真模式,并且包括谐波平衡和时域求解器。这些不同的模式具有性能特征,可能会影响任何潜在的并行化,所模拟问题的具体情况也会如此。因此,已将三种不同的技术用于并行化,共享内存,分布式内存以及二者混合或混合模式并行化的组合。这些不同的技术试图解决与代码可用于的仿真类型相关的不同性能要求,并提供重要仿真问题所需的计算资源级别。我们讨论了不同的并行化及其在一系列计算资源上展现的性能。

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