并行处理的发展与应用

Nigel D Tucker
{"title":"并行处理的发展与应用","authors":"Nigel D Tucker","doi":"10.1016/0011-684X(86)90424-7","DOIUrl":null,"url":null,"abstract":"<div><p>Parallel processing can reduce the cost of computing, improve reliability and provide greater throughput. Equally important is the likelihood that real-life problems contain parallelism that should be exploited in the computer architecture if natural solutions are to be found. Many parallel machines are now on the market, both single instruction, multiple data (SIMD) and multiple instruction, multiple data (MIMD), but software engineering techniques have yet to make their complete impact on these architectures.</p></div>","PeriodicalId":100352,"journal":{"name":"Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1986-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0011-684X(86)90424-7","citationCount":"0","resultStr":"{\"title\":\"Development and application of parallel processing\",\"authors\":\"Nigel D Tucker\",\"doi\":\"10.1016/0011-684X(86)90424-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Parallel processing can reduce the cost of computing, improve reliability and provide greater throughput. Equally important is the likelihood that real-life problems contain parallelism that should be exploited in the computer architecture if natural solutions are to be found. Many parallel machines are now on the market, both single instruction, multiple data (SIMD) and multiple instruction, multiple data (MIMD), but software engineering techniques have yet to make their complete impact on these architectures.</p></div>\",\"PeriodicalId\":100352,\"journal\":{\"name\":\"Data Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0011-684X(86)90424-7\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0011684X86904247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0011684X86904247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

并行处理可以降低计算成本,提高可靠性并提供更大的吞吐量。同样重要的是,现实生活中的问题可能包含并行性,如果要找到自然的解决方案,就应该在计算机体系结构中利用并行性。现在市场上有许多并行机器,包括单指令多数据(SIMD)和多指令多数据(MIMD),但是软件工程技术尚未对这些体系结构产生完全的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and application of parallel processing

Parallel processing can reduce the cost of computing, improve reliability and provide greater throughput. Equally important is the likelihood that real-life problems contain parallelism that should be exploited in the computer architecture if natural solutions are to be found. Many parallel machines are now on the market, both single instruction, multiple data (SIMD) and multiple instruction, multiple data (MIMD), but software engineering techniques have yet to make their complete impact on these architectures.

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