{"title":"功能依赖挖掘:利用多核系统","authors":"G. Gasmi, Amira Béji, Y. Slimani, L. Lakhal","doi":"10.1109/ICIS.2011.29","DOIUrl":null,"url":null,"abstract":"We are at the beginning of the multicore era. When combined with Hyper-Threading Technology, multicore can provide powerful optimization opportunities, increasing system throughput substantially. Inspired by this modern technology, we propose a multi-threaded algorithm, called MT FASTFDS, for mining functional dependencies which harnesses multicore system. Through a detailed experimental study, we show that our parallel algorithm scales very well with the number of cores available.","PeriodicalId":256762,"journal":{"name":"2011 10th IEEE/ACIS International Conference on Computer and Information Science","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional Dependency Mining: Harnessing Multicore Systems\",\"authors\":\"G. Gasmi, Amira Béji, Y. Slimani, L. Lakhal\",\"doi\":\"10.1109/ICIS.2011.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are at the beginning of the multicore era. When combined with Hyper-Threading Technology, multicore can provide powerful optimization opportunities, increasing system throughput substantially. Inspired by this modern technology, we propose a multi-threaded algorithm, called MT FASTFDS, for mining functional dependencies which harnesses multicore system. Through a detailed experimental study, we show that our parallel algorithm scales very well with the number of cores available.\",\"PeriodicalId\":256762,\"journal\":{\"name\":\"2011 10th IEEE/ACIS International Conference on Computer and Information Science\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 10th IEEE/ACIS International Conference on Computer and Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2011.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 10th IEEE/ACIS International Conference on Computer and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2011.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Functional Dependency Mining: Harnessing Multicore Systems
We are at the beginning of the multicore era. When combined with Hyper-Threading Technology, multicore can provide powerful optimization opportunities, increasing system throughput substantially. Inspired by this modern technology, we propose a multi-threaded algorithm, called MT FASTFDS, for mining functional dependencies which harnesses multicore system. Through a detailed experimental study, we show that our parallel algorithm scales very well with the number of cores available.