基于CUDA的关联规则挖掘实现

Syed Hasan Adil, S. Qamar
{"title":"基于CUDA的关联规则挖掘实现","authors":"Syed Hasan Adil, S. Qamar","doi":"10.1109/ICET.2009.5353149","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to implement association rule mining algorithm using Nvidia CUDA framework for general purpose computing on GPU. The major objective is to perform performance comparison of association rule mining algorithm using C based implementation on Intel Quad Core/Core2 Duo CPU with CUDA based implementation on Nvidia G80 and GTX 200 series GPU. The final outcome of this research is the bitmap based association rule mining algorithm and its performance statistics on CPU and GPU.","PeriodicalId":307661,"journal":{"name":"2009 International Conference on Emerging Technologies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Implementation of association rule mining using CUDA\",\"authors\":\"Syed Hasan Adil, S. Qamar\",\"doi\":\"10.1109/ICET.2009.5353149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this paper is to implement association rule mining algorithm using Nvidia CUDA framework for general purpose computing on GPU. The major objective is to perform performance comparison of association rule mining algorithm using C based implementation on Intel Quad Core/Core2 Duo CPU with CUDA based implementation on Nvidia G80 and GTX 200 series GPU. The final outcome of this research is the bitmap based association rule mining algorithm and its performance statistics on CPU and GPU.\",\"PeriodicalId\":307661,\"journal\":{\"name\":\"2009 International Conference on Emerging Technologies\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET.2009.5353149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2009.5353149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

摘要

本文的目的是利用Nvidia CUDA框架在GPU上实现通用计算的关联规则挖掘算法。主要目标是在Intel Quad Core/Core2 Duo CPU上使用基于C的实现与Nvidia G80和GTX 200系列GPU上基于CUDA的实现进行关联规则挖掘算法的性能比较。本研究的最终成果是基于位图的关联规则挖掘算法及其在CPU和GPU上的性能统计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of association rule mining using CUDA
The purpose of this paper is to implement association rule mining algorithm using Nvidia CUDA framework for general purpose computing on GPU. The major objective is to perform performance comparison of association rule mining algorithm using C based implementation on Intel Quad Core/Core2 Duo CPU with CUDA based implementation on Nvidia G80 and GTX 200 series GPU. The final outcome of this research is the bitmap based association rule mining algorithm and its performance statistics on CPU and GPU.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信