Design of Polyphase Channelization Algorithm Based on CUDA Stream Architecture

Chen Yongqiang, Hong Ma, Jiao Yiwen, Hongjie Dang
{"title":"Design of Polyphase Channelization Algorithm Based on CUDA Stream Architecture","authors":"Chen Yongqiang, Hong Ma, Jiao Yiwen, Hongjie Dang","doi":"10.12783/DTMSE/AMEME2020/35540","DOIUrl":null,"url":null,"abstract":"In order to improve the reconfigurability and computing efficiency of the polyphase channelization system, a new algorithm based on CUDA stream architecture was designed and optimized. Firstly, the principle of parallel channelization algorithm without blind zones is introduced. Then, various resource constraints under CUDA architecture and the relationship between the operating efficiency and parameters of the CUDA kernel under these constraints are analysed. The implementation structure of polyphase channelization algorithm is designed. Finally, NVIDIA GPU is used to implement and test the polyphase channelization algorithm based on CUDA stream. The result proves that the computational efficiency of the structure designed in this paper meets the real-time requirements, and can get about 10% efficiency improvement compared with the traditional algorithm.","PeriodicalId":11124,"journal":{"name":"DEStech Transactions on Materials Science and Engineering","volume":"4 s2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTMSE/AMEME2020/35540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to improve the reconfigurability and computing efficiency of the polyphase channelization system, a new algorithm based on CUDA stream architecture was designed and optimized. Firstly, the principle of parallel channelization algorithm without blind zones is introduced. Then, various resource constraints under CUDA architecture and the relationship between the operating efficiency and parameters of the CUDA kernel under these constraints are analysed. The implementation structure of polyphase channelization algorithm is designed. Finally, NVIDIA GPU is used to implement and test the polyphase channelization algorithm based on CUDA stream. The result proves that the computational efficiency of the structure designed in this paper meets the real-time requirements, and can get about 10% efficiency improvement compared with the traditional algorithm.
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CUDA流架构的多相信道化算法设计
为了提高多相信道化系统的可重构性和计算效率,设计并优化了一种基于CUDA流架构的多相信道化算法。首先,介绍了无盲区并行信道化算法的原理。然后,分析了CUDA架构下的各种资源约束,以及这些约束下CUDA内核运行效率与参数之间的关系。设计了多相信道化算法的实现结构。最后,利用NVIDIA GPU对基于CUDA流的多相信道化算法进行了实现和测试。结果表明,本文设计的结构计算效率满足实时性要求,与传统算法相比,计算效率可提高10%左右。
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
A Correction Model of Troposphere Delay for GNSS Signal in the Dust and Haze Weather Research on the Development of Chongqing’s Intelligent Industry Based on the Background of China’s High-Quality Economic Development Algorithm of Contour Contour Contour of Complex Surface in NC Machining Application of Bertalanffy and Logistic Growth Curve Fitting Model in Chicken Analysis and Verification of Dynamic Characteristics of Flexible Spatial Parallel Robot
×
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