{"title":"12. 在数值程序中精确和可靠地使用并行计算的问题","authors":"W. Gropp","doi":"10.1137/1.9780898718157.ch12","DOIUrl":null,"url":null,"abstract":"Parallel computing, as used in technical computing, is fundamentally about achieving higher performance than is possible with a uniprocessor. The unique issues for accurate and reliable computing are thus directly related to this desire for performance. This chapter briefly covers the major types of parallel computers, the programming models used with them, and issues in the choice and implementation of algorithms.","PeriodicalId":422759,"journal":{"name":"Accuracy and Reliability in Scientific Computing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"12. Issues in Accurate and Reliable Use of Parallel Computing in Numerical Programs\",\"authors\":\"W. Gropp\",\"doi\":\"10.1137/1.9780898718157.ch12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parallel computing, as used in technical computing, is fundamentally about achieving higher performance than is possible with a uniprocessor. The unique issues for accurate and reliable computing are thus directly related to this desire for performance. This chapter briefly covers the major types of parallel computers, the programming models used with them, and issues in the choice and implementation of algorithms.\",\"PeriodicalId\":422759,\"journal\":{\"name\":\"Accuracy and Reliability in Scientific Computing\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accuracy and Reliability in Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/1.9780898718157.ch12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accuracy and Reliability in Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/1.9780898718157.ch12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
12. Issues in Accurate and Reliable Use of Parallel Computing in Numerical Programs
Parallel computing, as used in technical computing, is fundamentally about achieving higher performance than is possible with a uniprocessor. The unique issues for accurate and reliable computing are thus directly related to this desire for performance. This chapter briefly covers the major types of parallel computers, the programming models used with them, and issues in the choice and implementation of algorithms.
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