{"title":"栅格化处理并行算法的实现","authors":"Tao Huang, Manchun Li, Xiaohui Jiang, Zhibing Jin, Shuai Zhang, Zhenjie Chen","doi":"10.1109/Geoinformatics.2012.6270293","DOIUrl":null,"url":null,"abstract":"Parallel algorithms can significantly improve the efficiency of rasterization. This paper implements a parallel algorithm for rasterization that is proposed for the fast processing of enormous amounts of vector data based on message passing interface (MPI) library. Results show that the new parallel algorithm can improve the efficiency of rasterization processing.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Implementation of parallel algorithm for rasterization processing\",\"authors\":\"Tao Huang, Manchun Li, Xiaohui Jiang, Zhibing Jin, Shuai Zhang, Zhenjie Chen\",\"doi\":\"10.1109/Geoinformatics.2012.6270293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parallel algorithms can significantly improve the efficiency of rasterization. This paper implements a parallel algorithm for rasterization that is proposed for the fast processing of enormous amounts of vector data based on message passing interface (MPI) library. Results show that the new parallel algorithm can improve the efficiency of rasterization processing.\",\"PeriodicalId\":259976,\"journal\":{\"name\":\"2012 20th International Conference on Geoinformatics\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 20th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Geoinformatics.2012.6270293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2012.6270293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of parallel algorithm for rasterization processing
Parallel algorithms can significantly improve the efficiency of rasterization. This paper implements a parallel algorithm for rasterization that is proposed for the fast processing of enormous amounts of vector data based on message passing interface (MPI) library. Results show that the new parallel algorithm can improve the efficiency of rasterization processing.
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