{"title":"大规模三维散射问题的FEM-DDM高效并行化方法","authors":"Rui-Qing Liu, Ming-lin Yang, Hong-Wei Gao, Xinqing Sheng","doi":"10.1109/ISAPE.2018.8634216","DOIUrl":null,"url":null,"abstract":"We present in this paper an efficient parallelization approach of the finite element domain decomposition method (FEM-DDM) for large scale 3D scattering problems. In this parallel FEM-DDM, the domain decomposition is done in a hierarchical way to minimize the inter-processor communication. In the hierarchical domain decomposition scheme, the whole FEM solution domain is first decomposed into large size subdomains with a total number equals to MPI processes. Then, each large subdomain is distributed to a MPI process and further decomposed into smaller ones to achieve good computation efficiency. Numerical examples are presented to demonstrate the accuracy, scalability, and capability of the proposed parallel FEM-DDM algorithm.","PeriodicalId":297368,"journal":{"name":"2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Efficient Parallelization Approach of FEM-DDM for Large-Scale 3D Scattering Problems\",\"authors\":\"Rui-Qing Liu, Ming-lin Yang, Hong-Wei Gao, Xinqing Sheng\",\"doi\":\"10.1109/ISAPE.2018.8634216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present in this paper an efficient parallelization approach of the finite element domain decomposition method (FEM-DDM) for large scale 3D scattering problems. In this parallel FEM-DDM, the domain decomposition is done in a hierarchical way to minimize the inter-processor communication. In the hierarchical domain decomposition scheme, the whole FEM solution domain is first decomposed into large size subdomains with a total number equals to MPI processes. Then, each large subdomain is distributed to a MPI process and further decomposed into smaller ones to achieve good computation efficiency. Numerical examples are presented to demonstrate the accuracy, scalability, and capability of the proposed parallel FEM-DDM algorithm.\",\"PeriodicalId\":297368,\"journal\":{\"name\":\"2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAPE.2018.8634216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAPE.2018.8634216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Parallelization Approach of FEM-DDM for Large-Scale 3D Scattering Problems
We present in this paper an efficient parallelization approach of the finite element domain decomposition method (FEM-DDM) for large scale 3D scattering problems. In this parallel FEM-DDM, the domain decomposition is done in a hierarchical way to minimize the inter-processor communication. In the hierarchical domain decomposition scheme, the whole FEM solution domain is first decomposed into large size subdomains with a total number equals to MPI processes. Then, each large subdomain is distributed to a MPI process and further decomposed into smaller ones to achieve good computation efficiency. Numerical examples are presented to demonstrate the accuracy, scalability, and capability of the proposed parallel FEM-DDM algorithm.