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Performance analysis of a parallel implementation of the lattice Boltzmann method for computational fluid dynamics.

机译:用于计算流体动力学的格子Boltzmann方法的并行实现的性能分析。

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We propose to use benchmark data combined with detailed O(n) analysis to predict the performance of a parallel Lattice-Boltzmann Method (LBM) for 2D fluid dynamics simulation with solid particles on various configurations of cluster computers. The LBM has super step synchronism, phase concurrent components and non-critical size of division properties. Our results demonstrate accurate predictions for LBM simulation performance. The CPU benchmark indicates that increased variable data precision does not degrade execution time significantly on Pentium class processors. We show that improved communication and calculation strategies for solid particles yielded better speedup and scalability. A theoretical analysis demonstrates that worst case speedup occurs when all the solid particles saturate a single workspace.
机译:我们建议将基准数据与详细的O(n)分析结合使用,以预测并行Lattice-Boltzmann方法(LBM)的性能,以在各种配置的群集计算机上使用固体颗粒进行二维流体动力学模拟。 LBM具有超级步进同步,相位并发分量和除法属性的非关键大小。我们的结果证明了对LBM仿真性能的准确预测。 CPU基准测试表明,可变数据精度的提高不会显着降低奔腾类处理器的执行时间。我们表明,改进的固体颗粒通信和计算策略可产生更好的加速和可扩展性。理论分析表明,当所有固体颗粒都饱和到单个工作空间时,最坏情况下就会加速。

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