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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 2/2017

14.03.2017 | RESEARCH PAPER

GPU parallel strategy for parameterized LSM-based topology optimization using isogeometric analysis

verfasst von: Zhaohui Xia, Yingjun Wang, Qifu Wang, Chao Mei

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 2/2017

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Abstract

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.
Vorheriger Artikel Design of energy dissipating elastoplastic structures under cyclic loads using topology optimization
Nächster Artikel An optimization study on load alleviation techniques in gliders using morphing camber

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Metadaten
Titel
GPU parallel strategy for parameterized LSM-based topology optimization using isogeometric analysis
verfasst von
Zhaohui Xia
Yingjun Wang
Qifu Wang
Chao Mei
Publikationsdatum
14.03.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 2/2017
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-017-1672-x

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