Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 56, Issue 2, Pages 413-434Publisher
SPRINGER
DOI: 10.1007/s00158-017-1672-x
Keywords
Isogeometric analysis; Topology optimization; Level set method; CUDA; GPU parallel computing
Categories
Funding
- National Natural Science Foundation of China [51475180]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available