期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 56, 期 2, 页码 413-434出版社
SPRINGER
DOI: 10.1007/s00158-017-1672-x
关键词
Isogeometric analysis; Topology optimization; Level set method; CUDA; GPU parallel computing
资金
- National Natural Science Foundation of China [51475180]
This paper proposes a new level set-based topology optimization (TO) method using a parallel strategy of Graphics Processing Units (GPUs) and the isogeometric analysis (IGA). The strategy consists of parallel implementations for initial design domain, IGA, sensitivity analysis and design variable update, and the key issues in the parallel implementation, e.g., the parallel assembly race condition, are discussed in detail. The computational complexity and parallelization of the different steps in the TO are also analyzed in this paper. To better demonstrate the advantages of the proposed strategy, we compare efficiency of serial CPU, multi-thread parallel CPU and GPU by benchmark examples, and the speedups achieve two orders of magnitude.
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