Open Access
ARTICLE
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:
Computer Modeling in Engineering & Sciences 2024, 138(2), 1103-1137. https://doi.org/10.32604/cmes.2023.029177
Received 06 February 2023; Accepted 21 June 2023; Issue published 17 November 2023
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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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