{"title":"航空航天应用中平行二维非结构各向异性Delaunay网格生成","authors":"Juliette Pardue, Andrey N. Chernikov","doi":"10.1109/ICPP.2016.76","DOIUrl":null,"url":null,"abstract":"In this paper, we present a bottom-up approach to parallel anisotropic mesh generation by building a mesh generator from principles. Applications focusing on high-lift design or dynamic stall, or numerical methods and modeling test cases still focus on the two-dimensions. Our push-button parallel mesh generation approach can generate high-fidelity unstructured meshes with anisotropic boundary layers for use in the computational fluid dynamics field. The anisotropy requirement adds a level of complexity to a parallel meshing algorithm by making computation depend on the local alignment of elements, which in turn is dictated by geometric boundaries and the density functions. Our experimental results show 70% parallel efficiency over the fastest sequential isotropic mesh generator on 256 distributed memory nodes.","PeriodicalId":409991,"journal":{"name":"2016 45th International Conference on Parallel Processing (ICPP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Parallel Two-Dimensional Unstructured Anisotropic Delaunay Mesh Generation of Complex Domains for Aerospace Applications\",\"authors\":\"Juliette Pardue, Andrey N. Chernikov\",\"doi\":\"10.1109/ICPP.2016.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a bottom-up approach to parallel anisotropic mesh generation by building a mesh generator from principles. Applications focusing on high-lift design or dynamic stall, or numerical methods and modeling test cases still focus on the two-dimensions. Our push-button parallel mesh generation approach can generate high-fidelity unstructured meshes with anisotropic boundary layers for use in the computational fluid dynamics field. The anisotropy requirement adds a level of complexity to a parallel meshing algorithm by making computation depend on the local alignment of elements, which in turn is dictated by geometric boundaries and the density functions. Our experimental results show 70% parallel efficiency over the fastest sequential isotropic mesh generator on 256 distributed memory nodes.\",\"PeriodicalId\":409991,\"journal\":{\"name\":\"2016 45th International Conference on Parallel Processing (ICPP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 45th International Conference on Parallel Processing (ICPP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2016.76\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 45th International Conference on Parallel Processing (ICPP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2016.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel Two-Dimensional Unstructured Anisotropic Delaunay Mesh Generation of Complex Domains for Aerospace Applications
In this paper, we present a bottom-up approach to parallel anisotropic mesh generation by building a mesh generator from principles. Applications focusing on high-lift design or dynamic stall, or numerical methods and modeling test cases still focus on the two-dimensions. Our push-button parallel mesh generation approach can generate high-fidelity unstructured meshes with anisotropic boundary layers for use in the computational fluid dynamics field. The anisotropy requirement adds a level of complexity to a parallel meshing algorithm by making computation depend on the local alignment of elements, which in turn is dictated by geometric boundaries and the density functions. Our experimental results show 70% parallel efficiency over the fastest sequential isotropic mesh generator on 256 distributed memory nodes.