异构系统中的超大规模 CFD

David Trebotich
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引用次数: 0

摘要

超大规模计算扩展了复杂异质系统中的解析流动模拟范围,远远超出了传统的 CFD 能力。因此,在传统建模方法仅限于连续介质和有效介质的领域中,孔隙和微尺度的分辨率达到了前所未有的水平。通过利用橡树岭领先计算设施(Oak Ridge Leadership Computing Facility)的新型超大规模超级计算机 "前沿"(Frontier)上的计算资源,我们进行了流动模拟,将异质介质的领域分辨率比极限提高了几个数量级。我们的方法是一种不可压缩的纳维-斯托克斯(Navier-Stokes)CFD求解器,该求解器基于应用 PDEs 的 Chombo 软件框架支持的自适应嵌入式边界方法。CFD 应用代码中的计算主力是 Chombo 中的椭圆求解器框架,用于求解压力-泊松和粘性、亥姆霍兹项,该框架利用 PETSc-hypre 软件界面,专为基于加速器的平台而调整。我们通过复制一个装满微球的单位圆柱体,实现了超过 4000 亿个自由度的模拟,证明了我们方法的可扩展性。这些模拟的建模域长度超过 20 米,通道体积超过 400 cm^3,包含数百万个网格分辨率为 20 微米的填充球体,挑战了当前对异质介质中连续尺度代表性基本体积的理解。我们还模拟了一系列雷诺数,以证明该方法的广泛适用性和稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exascale CFD in Heterogeneous Systems
Exascale computing has extended the reach of resolved flow simulations in complex, heterogeneous systems far beyond conventional CFD capabilities. As a result, unprecedented pore and micro scale resolution has been achieved in domains that have been traditionally modeled by, and limited to, continuum, effective medium approaches. By making use of computational resources on the new exascale supercomputer, Frontier, at the Oak Ridge Leadership Computing Facility we performed flow simulations that have pushed the limits of domain-to-resolution ratios by several orders of magnitude for heterogeneous media. Our approach is an incompressible, Navier-Stokes CFD solver based on an adaptive, embedded boundary method supported by the Chombo software framework for applied PDEs. The computational workhorse in the CFD application code is an elliptic solver framework in Chombo for pressure-Poisson and viscous, Helmholtz terms that leverages a PETSc-hypre software interface tuned for accelerator-based platforms. We demonstrate scalability of our approach by replicating a unit cylinder packed with microspheres to achieve over 400 billion degrees of freedom simulated. These simulations model domain lengths of over 20 meters with channel volumes of over 400 cm^3 containing millions of packed spheres with 20 micron grid resolution, challenging current understanding of what it means to be a representative elementary volume of the continuum scale in heterogeneous media. We also simulate a range of Reynolds numbers to demonstrate wide applicability and robustness of the approach.
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