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Toward Exascale Earthquake Ground Motion Simulations for Near-Fault Engineering Analysis

机译:迈向百亿级地震地面运动仿真,用于近断层工程分析

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Modernizing SW4 for massively parallel time-domain simulations of earthquake ground motions in 3D earth models increases resolution and provides ground motion estimates for critical infrastructure risk evaluations. Simulations of ground motions from large (M ≥ 7.0) earthquakes require domains on the order of 100 to500 km and spatial granularity on the order of 1 to5 m resulting in hundreds of billions of grid points. Surface-focused structured mesh refinement (SMR) allows for more constant grid point per wavelength scaling in typical Earth models, where wavespeeds increase with depth. In fact, MR allows for simulations to double the frequency content relative to a fixed grid calculation on a given resource. The authors report improvements to the SW4 algorithm developed while porting the code to the Cori Phase 2 (Intel Xeon Phi) systems at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. Investigations of the performance of the innermost loop of the calculations found that reorganizing the order of operations can improve performance for massive problems.
机译:现代化SW4,以便在3D地球模型中对地震地面运动进行大规模并行时域仿真,从而提高了分辨率,并为关键基础设施风险评估提供了地面运动估计。对大(M≥7.0)地震的地面运动进行模拟,需要100到500 km范围内的区域和1到5 m范围内的空间粒度,从而产生了数千亿个网格点。在典型的地球模型中,以表面为焦点的结构化网格细化(SMR)可以使每个波长缩放的网格点更恒定,在该模型中,波速随深度增加。实际上,相对于给定资源上的固定网格计算,MR允许模拟使频率内容翻倍。作者报告了在将代码移植到位于劳伦斯伯克利国家实验室的国家能源研究科学计算中心(NERSC)的Cori Phase 2(英特尔至强融核)系统时开发的SW4算法的改进。对计算的最内部循环的性能进行的研究发现,重新组织操作顺序可以提高大规模问题的性能。

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