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GPU-centric resolved-particle disperse two-phase flow simulation using the Physalis method

机译:使用Physalis方法以GPU为中心的分解颗粒分散两相流模拟

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摘要

We present work on a new implementation of the Physalis method for resolved-particle disperse two-phase flow simulations. We discuss specifically our GPU-centric programming model that avoids all device-host data communication during the simulation. Summarizing the details underlying the implementation of the Physalis method, we illustrate the application of two GPU-centric parallelization paradigms and record insights on how to best leverage the GPU's prioritization of bandwidth over latency. We perform a comparison of the computational efficiency between the current GPU-centric implementation and a legacy serial-CPU-optimized code and conclude that the GPU hardware accounts for run time improvements up to a factor of 60 by carefully normalizing the run times of both codes, (C) 2016 Elsevier B.V. All rights reserved.
机译:我们目前为解决粒子分散两相流模拟的空泡方法的新实现提供工作。我们专门讨论了以GPU为中心的编程模型,该模型避免了仿真期间所有设备主机数据的通信。总结了实现Physalis方法的基础细节,我们说明了两种以GPU为中心的并行化范例的应用,并记录了有关如何最佳利用GPU的带宽优先级对延迟的见解。我们对当前以GPU为中心的实现与传统的串行CPU优化代码之间的计算效率进行了比较,并得出结论,GPU硬件通过仔细规范化两个代码的运行时间,从而将运行时间缩短了60倍,(C)2016 Elsevier BV保留所有权利。

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