ICCM Conferences, The 8th International Conference on Computational Methods (ICCM2017)

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GPU parallel computation of topology optimization based on EFG method
Gong Shuguang, Xie Guilan, LU Haishan

Last modified: 2017-06-29


Aiming at the problem of low efficiency and time-consuming in topology optimization based on element-free Galerkin (EFG) method, a new implementation of topology optimization based on EFG method and Graphic Processing Unit (GPU) parallel computing is presented by using node-by-node method and interacting nodes pairs to carry out the sensitivity analysis, and the corresponding computational formulas are derived. The GPU parallel execution model is designed to be used in the sensitivity analysis of objective function and implementing of optimization criterion (OC) method, and the flowchart is also given. The two examples of topology optimization are achieved, and the results obtained show that the proposed method is verified to be efficient and feasible. On the premise that the calculating accuracy is met, the 24 times speedup is obtained.


Topology Optimization; GPU; Parallel Computing; EFG method; Sensitivity Analysis

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