Advances in massively parallel computing

Q4 Computer Science
J. Sanz
{"title":"Advances in massively parallel computing","authors":"J. Sanz","doi":"10.1109/ICPR.1992.202140","DOIUrl":null,"url":null,"abstract":"Highly parallel systems play a central role in the future of computing. This role is increasing rapidly as the costs involved in improving semiconductor circuit speed and density become higher. The two major hurdles that prevent massive parallelism from becoming mainstream are the relatively slow progress of interconnection networks compared to that of uniprocessor technology and the immature status of parallel software. The paper gives a brief summary of some of the recent advances in the field of highly parallel computing, with an emphasis on message routing architectures.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.202140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

Abstract

Highly parallel systems play a central role in the future of computing. This role is increasing rapidly as the costs involved in improving semiconductor circuit speed and density become higher. The two major hurdles that prevent massive parallelism from becoming mainstream are the relatively slow progress of interconnection networks compared to that of uniprocessor technology and the immature status of parallel software. The paper gives a brief summary of some of the recent advances in the field of highly parallel computing, with an emphasis on message routing architectures.<>
大规模并行计算的进展
高度并行系统在未来的计算中扮演着核心角色。随着提高半导体电路速度和密度的成本越来越高,这一角色也在迅速增加。阻止大规模并行成为主流的两个主要障碍是,与单处理器技术相比,互连网络的进展相对缓慢,以及并行软件的不成熟状态。本文简要总结了高度并行计算领域的一些最新进展,重点介绍了消息路由体系结构。
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 求助全文
来源期刊
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
期刊介绍:
×
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