{"title":"并行处理","authors":"DJ Evans","doi":"10.1016/0011-684X(86)90070-5","DOIUrl":null,"url":null,"abstract":"<div><p>Parallelism can be introduced into computers in a number of ways and at several levels within the processing operation. These include pipelining, array or vector processing, parallel processing of data and multiple processors. Software algorithms are being reformulated to exploit more fully the potential of parallel computers.</p></div>","PeriodicalId":100352,"journal":{"name":"Data Processing","volume":"28 10","pages":"Pages 529-542"},"PeriodicalIF":0.0000,"publicationDate":"1986-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0011-684X(86)90070-5","citationCount":"454","resultStr":"{\"title\":\"Parallel processing\",\"authors\":\"DJ Evans\",\"doi\":\"10.1016/0011-684X(86)90070-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Parallelism can be introduced into computers in a number of ways and at several levels within the processing operation. These include pipelining, array or vector processing, parallel processing of data and multiple processors. Software algorithms are being reformulated to exploit more fully the potential of parallel computers.</p></div>\",\"PeriodicalId\":100352,\"journal\":{\"name\":\"Data Processing\",\"volume\":\"28 10\",\"pages\":\"Pages 529-542\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0011-684X(86)90070-5\",\"citationCount\":\"454\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0011684X86900705\",\"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/0011684X86900705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallelism can be introduced into computers in a number of ways and at several levels within the processing operation. These include pipelining, array or vector processing, parallel processing of data and multiple processors. Software algorithms are being reformulated to exploit more fully the potential of parallel computers.