Implementation and Optimization of Template Matching Algorithm for FT-M6678

Jiang Hu, Jiandong Shang, Yun-shan Chen, Mengyuan Wang, Xia Chai
{"title":"Implementation and Optimization of Template Matching Algorithm for FT-M6678","authors":"Jiang Hu, Jiandong Shang, Yun-shan Chen, Mengyuan Wang, Xia Chai","doi":"10.12783/dtcse/cisnr2020/35132","DOIUrl":null,"url":null,"abstract":"Feiteng FT-M6678 (hereinafter referred to as M6678) DSP is a multi-core highperformance DSP with completely independent intellectual property rights. M6678 adopts the Harvard architecture and the new KeyStone multi-core architecture that store instructions and data separately. In general, the multiple classic image processing classic algorithms including correlation matching are not efficient for M6678 DSP architecture. To promote the application of domestic DSP chips in the field of image processing and artificial intelligence. Here, the correlation matching algorithm based on the correlation coefficient is transplanted to the M6678 platform, combining the algorithm characteristics and the architecture characteristics of the target platform, performance optimization in terms of parallelism and locality is carried out. The performance of the program is obviously improved, and the unique computing resources of the platform are more fully utilized, which is meaningful for the transplantation and optimization of other image processing algorithms on the platform.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dtcse/cisnr2020/35132","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

Feiteng FT-M6678 (hereinafter referred to as M6678) DSP is a multi-core highperformance DSP with completely independent intellectual property rights. M6678 adopts the Harvard architecture and the new KeyStone multi-core architecture that store instructions and data separately. In general, the multiple classic image processing classic algorithms including correlation matching are not efficient for M6678 DSP architecture. To promote the application of domestic DSP chips in the field of image processing and artificial intelligence. Here, the correlation matching algorithm based on the correlation coefficient is transplanted to the M6678 platform, combining the algorithm characteristics and the architecture characteristics of the target platform, performance optimization in terms of parallelism and locality is carried out. The performance of the program is obviously improved, and the unique computing resources of the platform are more fully utilized, which is meaningful for the transplantation and optimization of other image processing algorithms on the platform.
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
FT-M6678模板匹配算法的实现与优化
飞腾FT-M6678(以下简称M6678) DSP是一款具有完全自主知识产权的多核高性能DSP。M6678采用哈佛架构和新的KeyStone多核架构,指令和数据分开存储。一般来说,包括相关匹配在内的多种经典图像处理经典算法在M6678 DSP架构下效率不高。推动国产DSP芯片在图像处理和人工智能领域的应用。本文将基于相关系数的相关匹配算法移植到M6678平台上,结合算法特点和目标平台的架构特点,从并行性和局部性两方面进行性能优化。该方案的性能得到了明显的提高,平台独特的计算资源得到了更充分的利用,这对于平台上其他图像处理算法的移植和优化具有重要意义。
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
An Analysis and Empirical Study on the Generation Mechanism of Consumer Flow Experience in Brand Community Research on Model and Algorithm of User Access Pattern Data Mining Integrated Tunable Distributed Feedback Reflection Filter Based on Double-Layer Graphene Distance Classifier Ensemble Based on Intra-Class and Inter-Class Scatter Communication Equipment Condition Based Maintenance Decision
×
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