在新的 Sunway 架构上重新设计弹性全波形反演

Mengyuan Hua, Wubing Wan, Zhaoqi Sun, Zekun Yin, Puyu Xiong, Xiaohui Liu, Haodong Tian, Ping Gao, Weiguo Liu, Hua Wang, Wenlai Zhao, Zhenchun Huang
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引用次数: 0

摘要

IFOS3D 是一种三维弹性全波形反演(EFWI)工具,旨在对三维地下结构中的地球材料属性进行高分辨率估算。然而,由于三维弹性全波形反演需要大量计算成本,因此利用超级计算机的计算能力来实施是一个合理的选择。在本文中,我们介绍了基于新型 Sunway 超级计算机的异构多核架构的若干创新性进程级和线程级优化。这些优化包括进程级通信重叠策略、线程级数据分区和布局方法、远程内存访问优化的主从通信方案以及线程级数据重用和重叠策略。通过这些优化,我们在每次迭代中都取得了显著改进,内核函数速度提高了约 59 倍,程序整体速度提高了约 14 倍。我们的研究结果表明,我们提出的优化策略有能力克服与 3D EFWI 相关的计算挑战,为地下成像领域的未来发展提供了一个前景广阔的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Redesigning elastic full‐waveform inversion on the new Sunway architecture
IFOS3D is a three‐dimensional elastic full‐waveform inversion (EFWI) tool designed for high‐resolution estimation of the Earth's material properties within 3D subsurface structures. However, due to the significant computational costs associated with 3D EFWI, leveraging the computing power of a supercomputer for implementation is a logical choice. In this article, we introduce several innovative process‐level and thread‐level optimizations based on heterogeneous many‐core architectures in the new Sunway supercomputer, which is a powerful system globally. These optimizations encompass a process‐level communication overlapping strategy, thread‐level data partitioning and layout approaches, a remote memory access optimized master‐slave communication scheme, and a thread‐level data reuse and overlapping strategy. Through these optimizations, we achieve significant improvements in each iteration, with a kernel function speedup of approximately 59 and an overall program speedup of about 14. Our findings demonstrate the ability of our proposed optimization strategies to overcome the computational challenges associated with 3D EFWI, providing a promising framework for future advancements in the field of subsurface imaging.
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