A GPU based implementation of Needleman-Wunsch algorithm using skewing transformation

Anuj Chaudhary, Deepkumar Kagathara, Vibha Patel
{"title":"A GPU based implementation of Needleman-Wunsch algorithm using skewing transformation","authors":"Anuj Chaudhary, Deepkumar Kagathara, Vibha Patel","doi":"10.1109/IC3.2015.7346733","DOIUrl":null,"url":null,"abstract":"We present a new parallel approach of Needleman-Wunsch algorithm for global sequence alignment. This approach uses skewing transformation for traversal and calculation of the dynamic programming matrix. We compare the execution time of sequential CPU based implementation with two parallel GPU based implementations: Single-kernel invocation with lock-free block synchronization and multi-kernel invocation at block-synchronization points. Both the GPU based implementations gave upto 6 times performance improvement over the sequential CPU based implementation.","PeriodicalId":217950,"journal":{"name":"2015 Eighth International Conference on Contemporary Computing (IC3)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2015.7346733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

We present a new parallel approach of Needleman-Wunsch algorithm for global sequence alignment. This approach uses skewing transformation for traversal and calculation of the dynamic programming matrix. We compare the execution time of sequential CPU based implementation with two parallel GPU based implementations: Single-kernel invocation with lock-free block synchronization and multi-kernel invocation at block-synchronization points. Both the GPU based implementations gave upto 6 times performance improvement over the sequential CPU based implementation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于GPU的利用倾斜变换实现Needleman-Wunsch算法
提出了一种新的全局序列比对的并行Needleman-Wunsch算法。该方法利用倾斜变换对动态规划矩阵进行遍历和计算。我们比较了基于顺序CPU的实现与两种基于并行GPU的实现的执行时间:无锁块同步的单内核调用和块同步点的多内核调用。两种基于GPU的实现都比基于顺序CPU的实现提供了高达6倍的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Implementing security technique on generic database Pruned feature space for metamorphic malware detection using Markov Blanket Mitigation of desynchronization attack during inter-eNodeB handover key management in LTE Task behaviour inputs to a heterogeneous multiprocessor scheduler Hand written digit recognition system for South Indian languages using artificial neural networks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1