Massively Parallel Phase-Field Simulations for Ternary Eutectic Directional Solidification

SC(2015)

引用 46|浏览447
暂无评分
摘要
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.
更多
查看译文
关键词
I/O problem,mesh-based data reduction,SIMD kernel vectorization,waLBerla,massively parallel HPC framework,temperature dependent diffusive concentration,phase-field method,metal alloys,macroscopic mechanical properties,microstructures,ternary eutectic directional solidification,massively parallel phase-field simulations
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要