{"title":"共享和分布式存储多处理器上连接组件标记算法的评价","authors":"A. Choudhary, R. Thakur","doi":"10.1109/IPPS.1992.223019","DOIUrl":null,"url":null,"abstract":"Presents parallel implementations of connected component labeling for grey level images on the iPSC/2 E iPSC/860 hypercubes and on the Encore Multimax shared memory multiprocessor. Several partitioning and mapping strategies including multi-dimensional divide and conquer, block decomposition and scatter decomposition are used. Implementation results, performance evaluation and comparison for all the mapping strategies are reported.<<ETX>>","PeriodicalId":340070,"journal":{"name":"Proceedings Sixth International Parallel Processing Symposium","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Evaluation of connected component labeling algorithms on shared and distributed memory multiprocessors\",\"authors\":\"A. Choudhary, R. Thakur\",\"doi\":\"10.1109/IPPS.1992.223019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents parallel implementations of connected component labeling for grey level images on the iPSC/2 E iPSC/860 hypercubes and on the Encore Multimax shared memory multiprocessor. Several partitioning and mapping strategies including multi-dimensional divide and conquer, block decomposition and scatter decomposition are used. Implementation results, performance evaluation and comparison for all the mapping strategies are reported.<<ETX>>\",\"PeriodicalId\":340070,\"journal\":{\"name\":\"Proceedings Sixth International Parallel Processing Symposium\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth International Parallel Processing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPPS.1992.223019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1992.223019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
提出了在iPSC/2 E iPSC/860超立方体和Encore Multimax共享内存多处理器上并行实现灰度图像的连通组件标记。采用了多维分治、块分解和散点分解等划分和映射策略。报告了所有映射策略的实现结果、性能评价和比较。
Evaluation of connected component labeling algorithms on shared and distributed memory multiprocessors
Presents parallel implementations of connected component labeling for grey level images on the iPSC/2 E iPSC/860 hypercubes and on the Encore Multimax shared memory multiprocessor. Several partitioning and mapping strategies including multi-dimensional divide and conquer, block decomposition and scatter decomposition are used. Implementation results, performance evaluation and comparison for all the mapping strategies are reported.<>
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