Dynamic load balancing of Lattice Boltzmann free-surface fluid animations

Ashley Reid, J. Gain, M. Kuttel
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Abstract

We investigate the use of dynamic load balancing for more efficient parallel Lattice Boltzmann Method (LBM) Free Surface simulations. Our aim is to produce highly detailed fluid simulations with large grid sizes and without the use of optimisation techniques, such as adaptive grids, which may impact on simulation quality. We divide the problem into separate simulation chunks, which can then be distributed over multiple parallel processors. Due to the purely local grid interaction of the LBM, the algorithm parallelises well. However, the highly dynamic nature of typical scenes means that there is an unbalanced distribution of the fluid across the processors. Our proposed Dynamic Load Balancing strategy seeks to improve the efficiency of the simulation by measuring computation and communication times and adjusting the fluid distribution accordingly.
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晶格玻尔兹曼自由曲面流体动画的动态负载平衡
我们研究了动态负载平衡在更有效的并行晶格玻尔兹曼方法(LBM)自由表面模拟中的应用。我们的目标是产生非常详细的流体模拟与大网格尺寸,而不使用优化技术,如自适应网格,这可能会影响模拟质量。我们将问题划分为单独的模拟块,然后可以将其分布在多个并行处理器上。由于LBM的纯局部网格相互作用,该算法具有良好的并行性。然而,典型场景的高度动态性意味着流体在处理器之间的分布是不平衡的。我们提出的动态负载平衡策略旨在通过测量计算和通信时间并相应地调整流体分布来提高仿真效率。
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