{"title":"一个简单的最优列表排序算法","authors":"A. Ranade","doi":"10.1109/HIPC.1998.737971","DOIUrl":null,"url":null,"abstract":"We consider the problem of ranking an N element list on a P processor EREW PRAM. Recent work on this problem has shown the importance of grain size. While several optimal O(N/P+log P) time list ranking algorithms are known, Reid-Miller and Blelloch (1994) recently showed that these do not lead to good implementations in practice, because of the fine-grained nature of these algorithms. In Reid-Miller and Blelloch's experiments the best performance was obtained by an O(N/P+log/sup 2/ P) time coarse grained randomized algorithm devised by them. We build upon their idea and present a coarse-grained randomized algorithm that runs in time O(N/P+log P), and is thus also optimal. Our algorithm simplifies some of the ideas from [6, 7]-these simplifications might be of interest to implementers.","PeriodicalId":175528,"journal":{"name":"Proceedings. Fifth International Conference on High Performance Computing (Cat. No. 98EX238)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A simple optimal list ranking algorithm\",\"authors\":\"A. Ranade\",\"doi\":\"10.1109/HIPC.1998.737971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of ranking an N element list on a P processor EREW PRAM. Recent work on this problem has shown the importance of grain size. While several optimal O(N/P+log P) time list ranking algorithms are known, Reid-Miller and Blelloch (1994) recently showed that these do not lead to good implementations in practice, because of the fine-grained nature of these algorithms. In Reid-Miller and Blelloch's experiments the best performance was obtained by an O(N/P+log/sup 2/ P) time coarse grained randomized algorithm devised by them. We build upon their idea and present a coarse-grained randomized algorithm that runs in time O(N/P+log P), and is thus also optimal. Our algorithm simplifies some of the ideas from [6, 7]-these simplifications might be of interest to implementers.\",\"PeriodicalId\":175528,\"journal\":{\"name\":\"Proceedings. Fifth International Conference on High Performance Computing (Cat. No. 98EX238)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Fifth International Conference on High Performance Computing (Cat. No. 98EX238)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIPC.1998.737971\",\"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. Fifth International Conference on High Performance Computing (Cat. No. 98EX238)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIPC.1998.737971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We consider the problem of ranking an N element list on a P processor EREW PRAM. Recent work on this problem has shown the importance of grain size. While several optimal O(N/P+log P) time list ranking algorithms are known, Reid-Miller and Blelloch (1994) recently showed that these do not lead to good implementations in practice, because of the fine-grained nature of these algorithms. In Reid-Miller and Blelloch's experiments the best performance was obtained by an O(N/P+log/sup 2/ P) time coarse grained randomized algorithm devised by them. We build upon their idea and present a coarse-grained randomized algorithm that runs in time O(N/P+log P), and is thus also optimal. Our algorithm simplifies some of the ideas from [6, 7]-these simplifications might be of interest to implementers.