三元共晶定向凝固的大规模平行相场模拟

Martin Bauer, J. Hötzer, Marcus Jainta, P. Steinmetz, M. Berghoff, F. Schornbaum, Christian Godenschwager, H. Köstler, B. Nestler, U. Rüde
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引用次数: 39

摘要

三元共晶定向凝固过程中形成的显微组织对金属合金的宏观力学性能有重要影响。为了更真实的模拟,我们使用了已经建立的热力学一致相场方法,并改进了新的大势公式来耦合浓度演化。这个扩展是非常计算密集由于温度依赖的扩散浓度。我们大大扩展了以前使用更简单的相场模型或在更小的域尺寸上进行的模拟。新方法已在大规模并行HPC框架waLBerla中实现,该框架旨在有效利用当前的超级计算机。我们应用了各种优化技术,包括缓冲技术、显式SIMD内核矢量化和通信隐藏。在三种不同的超级计算架构上,使用多达262,144个核的模拟结果显示出较弱的可扩展性。此外,还开发了一种分层的、基于网格的数据缩减策略,以使I/O问题在规模上可管理。
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Massively parallel phase-field simulations for ternary eutectic directional solidification
Microstructures forming during ternary eutectic directional solidification processes have significant influence on the macroscopic mechanical properties of metal alloys. For a realistic simulation, we use the well established thermodynamically consistent phase-field method and improve it with a new grand potential formulation to couple the concentration evolution. This extension is very compute intensive due to a temperature dependent diffusive concentration. We significantly extend previous simulations that have used simpler phase-field models or were performed on smaller domain sizes. The new method has been implemented within the massively parallel HPC framework waLBerla that is designed to exploit current supercomputers efficiently. We apply various optimization techniques, including buffering techniques, explicit SIMD kernel vectorization, and communication hiding. Simulations utilizing up to 262,144 cores have been run on three different supercomputing architectures and weak scalability results are shown. Additionally, a hierarchical, mesh-based data reduction strategy is developed to keep the I/O problem manageable at scale.
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