结构模态多级分层并行计算方法

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Abstract A multilevel hierarchical parallel modal synthesis algorithm (MHPMSA) for large-scale finite element modal analysis was proposed based on the sparse storage techniques and parallel conventional modal synthesis algorithm (PCMSA). Based on two-level partitioning and quartic transformation strategies, the proposed method not only improves memory access rate through the distributed sparse storage of a large amount of data, but also reduces the solution time of the interface equation through the reduction in interface equations’ size. Moreover, a multilevel hierarchical parallelization of the computational procedure is introduced to enable the separation of the communication of inter-nodes, heterogeneous-core-groups and inside- heterogeneous-core-groups through mapping computing tasks to various hardware layers, which can not only efficiently achieve the load balancing at different layers, but also significantly improve communication rate through the hierarchical communication. Hence, it can improve the efficiency rates of parallel computing of large-scale finite element modal analysis by fully exploiting the architecture characteristics of heterogeneous multicore clusters. Test results show that, compared with the PCMSA, the proposed method with sparse storage format can considerably save memory space and significantly improve computational efficiency.

Key words： Heterogeneous multicore Multilevel hierarchical parallel Load balancing Sparse storage technique Large-scale modal analysis

Received: 02 August 2022 Published: 28 August 2023

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	Articles by authors
	YU Gaoyuan1
	LOU Yunfeng2
	LI Junjie1
	JIN Xianlong1

Cite this article:

YU Gaoyuan1,LOU Yunfeng2,LI Junjie1, et al. A multilevel hierarchical parallel algorithm for finite element structural modal analysis[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(16): 19-25.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I16/19

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