A new parallel algorithm for transient structural analysis based on heterogeneous multi-core processor architecture

Gaoyuan Yu; Xiaojun Wu; Hang Dong; Chuan Qin; Xianlong Jin

doi:10.1117/12.2683455

26 June 2023 A new parallel algorithm for transient structural analysis based on heterogeneous multi-core processor architecture

Gaoyuan Yu, Xiaojun Wu, Hang Dong, Chuan Qin, Xianlong Jin

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Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 127141P (2023) https://doi.org/10.1117/12.2683455
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China

Abstract

A new hierarchical communication parallel computing algorithm for transient structural analysis is introduced based on the architecture characteristics of heterogeneous multi-core processors in order to increase the parallel efficiency of the transient analysis of the entire extensive structure system carried out by heterogeneous multi-core processors and distributed memory parallel computers. With the two-layer parallelization of the computational process, this approach remarkably increases the memory access rate through distributed storage of a considerable quantity of data and significantly accelerates the communication rate. By fully utilizing the architectural features of heterogeneous multi-core and distributed memory parallel computers, it is possible to increase the efficiency rates of parallel computing for large-scale transient analysis. In the end, the accuracy and effectiveness of the suggested method were proved using typical numerical experiments. Specifically, a high-rise building's parallel transient analysis was conducted using ten thousand core processors with more than ten million degrees of freedom.

Citation Download Citation

Gaoyuan Yu, Xiaojun Wu, Hang Dong, Chuan Qin, and Xianlong Jin "A new parallel algorithm for transient structural analysis based on heterogeneous multi-core processor architecture", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 127141P (26 June 2023); https://doi.org/10.1117/12.2683455

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KEYWORDS

Chemical elements

Matrices

Parallel computing

Structural analysis

Computing systems

Data communications

Finite element methods

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