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A Hybrid Parallel Strategy for Isogeometric Topology Optimization via CPU/GPU Heterogeneous Computing

Zhaohui Xia1,3, Baichuan Gao3, Chen Yu2,*, Haotian Han3, Haobo Zhang3, Shuting Wang3

1 The State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
2 School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430048, China
3 School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

* Corresponding Author: Chen Yu. Email: email

Computer Modeling in Engineering & Sciences 2024, 138(2), 1103-1137. https://doi.org/10.32604/cmes.2023.029177

Abstract

This paper aims to solve large-scale and complex isogeometric topology optimization problems that consume significant computational resources. A novel isogeometric topology optimization method with a hybrid parallel strategy of CPU/GPU is proposed, while the hybrid parallel strategies for stiffness matrix assembly, equation solving, sensitivity analysis, and design variable update are discussed in detail. To ensure the high efficiency of CPU/GPU computing, a workload balancing strategy is presented for optimally distributing the workload between CPU and GPU. To illustrate the advantages of the proposed method, three benchmark examples are tested to verify the hybrid parallel strategy in this paper. The results show that the efficiency of the hybrid method is faster than serial CPU and parallel GPU, while the speedups can be up to two orders of magnitude.

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A Hybrid Parallel Strategy for Isogeometric Topology Optimization via CPU/GPU Heterogeneous Computing

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APA Style
Xia, Z., Gao, B., Yu, C., Han, H., Zhang, H. et al. (2024). A hybrid parallel strategy for isogeometric topology optimization via CPU/GPU heterogeneous computing. Computer Modeling in Engineering & Sciences, 138(2), 1103-1137. https://doi.org/10.32604/cmes.2023.029177
Vancouver Style
Xia Z, Gao B, Yu C, Han H, Zhang H, Wang S. A hybrid parallel strategy for isogeometric topology optimization via CPU/GPU heterogeneous computing. Comput Model Eng Sci. 2024;138(2):1103-1137 https://doi.org/10.32604/cmes.2023.029177
IEEE Style
Z. Xia, B. Gao, C. Yu, H. Han, H. Zhang, and S. Wang "A Hybrid Parallel Strategy for Isogeometric Topology Optimization via CPU/GPU Heterogeneous Computing," Comput. Model. Eng. Sci., vol. 138, no. 2, pp. 1103-1137. 2024. https://doi.org/10.32604/cmes.2023.029177



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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