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Large scale water entry simulation with smoothed particle hydrodynamics on single- and multi-GPU systems

机译:在单GPU和多GPU系统上使用平滑的粒子流体动力学进行大规模入水模拟

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In this paper, a Weakly Compressible Smoothed Particle Hydrodynamics (WCSPH) framework is presented utilizing the parallel architecture of single- and multi-GPU (Graphic Processing Unit) platforms. The program is developed for water entry simulations where an efficient potential based contact force is introduced to tackle the interaction between fluid and solid particles. The single-GPU SPH scheme is implemented with a series of optimization to achieve high performance. To go beyond the memory limitation of single GPU, the scheme is further extended to multi-GPU platform basing on an improved 3D domain decomposition and inter-node data communication strategy. A typical benchmark test of wedge entry is investigated in varied dimensions and scales to validate the accuracy and efficiency of the program. The results of 2D and 3D benchmark tests manifest great consistency with the experiment and better accuracy than other numerical models. The performance of the single-GPU code is assessed by comparing with serial and parallel CPU codes. The improvement of the domain decomposition strategy is verified, and a study on the scalability and efficiency of the multi-GPU code is carried out as well by simulating tests with varied scales in different amount of GPUs. Lastly, the single- and multi-GPU codes are further compared with existing state-of-the-art SPH parallel frameworks for a comprehensive assessment. (C) 2016 Published by Elsevier B.V.
机译:在本文中,利用单GPU和多GPU(图形处理单元)平台的并行体系结构,提出了弱可压缩平滑粒子流体动力学(WCSPH)框架。该程序专为进水模拟而开发,其中引入了有效的基于势的接触力来解决流体与固体颗粒之间的相互作用。单GPU SPH方案通过一系列优化实现,以实现高性能。为了超越单GPU的内存限制,该方案基于改进的3D域分解和节点间数据通信策略进一步扩展到了多GPU平台。对楔入的典型基准测试进行了各种尺寸和比例的研究,以验证程序的准确性和效率。 2D和3D基准测试的结果表明与实验具有很好的一致性,并且比其他数值模型具有更高的准确性。通过与串行和并行CPU代码进行比较来评估单GPU代码的性能。验证了域分解策略的改进,并通过在不同数量的GPU中模拟不同规模的测试,对多GPU代码的可伸缩性和效率进行了研究。最后,将单GPU和多GPU代码与现有的最新SPH并行框架进行比较,以进行全面评估。 (C)2016由Elsevier B.V.发布

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