YE Ji-hong, WANG Jia. APPLICATION OF GPU-BASED PARALLEL COMPUTING METHOD FOR DEM IN LARGE ENGINEERING STRUCTURES[J]. Engineering Mechanics, 2021, 38(2): 1-7. DOI: 10.6052/j.issn.1000-4750.2020.07.ST03
Citation: YE Ji-hong, WANG Jia. APPLICATION OF GPU-BASED PARALLEL COMPUTING METHOD FOR DEM IN LARGE ENGINEERING STRUCTURES[J]. Engineering Mechanics, 2021, 38(2): 1-7. DOI: 10.6052/j.issn.1000-4750.2020.07.ST03

APPLICATION OF GPU-BASED PARALLEL COMPUTING METHOD FOR DEM IN LARGE ENGINEERING STRUCTURES

  • The member DEM (discrete element method) is an effective way for the structural analyses concerning with strong nonlinear issues. However, with the expansion of structural numerical calculation model, the member DEM program has been time-consuming dramatically. It proposes element-level parallel and node-level parallel computing methods to improve the calculation efficiency of the member DEM. A parallel computing framework for the member DEM is first developed based on a CPU-GPU heterogeneous platform. Then, the member DEM program that models structural geometric nonlinearity is compiled and embedded into the framework, and finally the GPU-based multi-thread parallel algorithm for the member DEM is established. The design of this parallel algorithm mainly composed of a data storage mode, a GPU thread computing mode, a node physical quantity integration mode and the way of data transmission optimization. The accuracy of the member DEM parallel algorithm proposed in this study is verified by a large-scale space frame model and a spherical shell structure model, and the performance of the algorithm was further tested. The results show that the speedup of the member DEM parallel algorithm can reach 12.7 times at most.
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