{"title":"Operating system support for parallel computation","authors":"Francisco Soares de Moura","doi":"10.1016/0956-0521(95)00044-5","DOIUrl":null,"url":null,"abstract":"<div><p>Parallel systems are not necessarily special-purpose machines. At present, most departmental servers already resort to shared memory multiprocessing as a means to increase performance, while a network of workstations can also be regarded as a distributed memory parallel system. This paper examines the support offered by the operating system to exploit such parallelism. After discussing the design of multi-threaded programs in a Unix environment, a comparison is made with their distributed counterparts. Some performance figures obtained on a SparcCenter 2000 multiprocessor. on a network of workstations and on a transputer-based system are presented.</p></div>","PeriodicalId":100325,"journal":{"name":"Computing Systems in Engineering","volume":"6 4","pages":"Pages 307-312"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0956-0521(95)00044-5","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computing Systems in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0956052195000445","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
Parallel systems are not necessarily special-purpose machines. At present, most departmental servers already resort to shared memory multiprocessing as a means to increase performance, while a network of workstations can also be regarded as a distributed memory parallel system. This paper examines the support offered by the operating system to exploit such parallelism. After discussing the design of multi-threaded programs in a Unix environment, a comparison is made with their distributed counterparts. Some performance figures obtained on a SparcCenter 2000 multiprocessor. on a network of workstations and on a transputer-based system are presented.