{"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":"28 8","pages":"Pages 405-409"},"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}
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Abstract
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.
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