{"title":"在Intel Paragon上构建Delaunay三角剖分","authors":"F. Lee","doi":"10.1145/2817460.2817476","DOIUrl":null,"url":null,"abstract":"In this paper, we develop a parallel algorithm on the Intel Paragon supercomputer for constructing the two-dimensional Delaunay triangulation (called 2-d DT) of a point set with N points on the plane. The time complexity of the best sequential algorithm for 2-d DT is O(N log N). Our parallel algorithm improves it to constant or O(1) time by using N processors in the Paragon. The 2-d DT has many practical applications on sciences and technologies, such as unstructured mesh generation on computational fluid dynamics, geometric modeling on computer-aided design, volume rendering on scientific visualization, and Voronoi diagram on robotics and image processing.","PeriodicalId":274966,"journal":{"name":"ACM-SE 35","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constructing Delaunay triangulation on the Intel Paragon\",\"authors\":\"F. Lee\",\"doi\":\"10.1145/2817460.2817476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we develop a parallel algorithm on the Intel Paragon supercomputer for constructing the two-dimensional Delaunay triangulation (called 2-d DT) of a point set with N points on the plane. The time complexity of the best sequential algorithm for 2-d DT is O(N log N). Our parallel algorithm improves it to constant or O(1) time by using N processors in the Paragon. The 2-d DT has many practical applications on sciences and technologies, such as unstructured mesh generation on computational fluid dynamics, geometric modeling on computer-aided design, volume rendering on scientific visualization, and Voronoi diagram on robotics and image processing.\",\"PeriodicalId\":274966,\"journal\":{\"name\":\"ACM-SE 35\",\"volume\":\"155 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 35\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2817460.2817476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 35","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2817460.2817476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constructing Delaunay triangulation on the Intel Paragon
In this paper, we develop a parallel algorithm on the Intel Paragon supercomputer for constructing the two-dimensional Delaunay triangulation (called 2-d DT) of a point set with N points on the plane. The time complexity of the best sequential algorithm for 2-d DT is O(N log N). Our parallel algorithm improves it to constant or O(1) time by using N processors in the Paragon. The 2-d DT has many practical applications on sciences and technologies, such as unstructured mesh generation on computational fluid dynamics, geometric modeling on computer-aided design, volume rendering on scientific visualization, and Voronoi diagram on robotics and image processing.