{"title":"OpenMP结构在不同并行计算机体系结构上的性能特征","authors":"R. Berrendorf, Guido Nieken","doi":"10.1002/1096-9128(200010)12:12%3C1261::AID-CPE525%3E3.0.CO;2-5","DOIUrl":null,"url":null,"abstract":"OpenMP is emerging as a quasi-standard for shared memory parallel programming on small SMP-systems. To serve as a common programming interface in shared memory parallel programming, scalability to a larger number of nodes and support for different shared memory architectures has to be proven. In this paper we investigate how well the basic constructs of OpenMP are implemented on different parallel computer architectures.","PeriodicalId":199059,"journal":{"name":"Concurr. Pract. Exp.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Performance characteristics for OpenMP constructs on different parallel computer architectures\",\"authors\":\"R. Berrendorf, Guido Nieken\",\"doi\":\"10.1002/1096-9128(200010)12:12%3C1261::AID-CPE525%3E3.0.CO;2-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OpenMP is emerging as a quasi-standard for shared memory parallel programming on small SMP-systems. To serve as a common programming interface in shared memory parallel programming, scalability to a larger number of nodes and support for different shared memory architectures has to be proven. In this paper we investigate how well the basic constructs of OpenMP are implemented on different parallel computer architectures.\",\"PeriodicalId\":199059,\"journal\":{\"name\":\"Concurr. Pract. Exp.\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Concurr. Pract. Exp.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/1096-9128(200010)12:12%3C1261::AID-CPE525%3E3.0.CO;2-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurr. Pract. Exp.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/1096-9128(200010)12:12%3C1261::AID-CPE525%3E3.0.CO;2-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance characteristics for OpenMP constructs on different parallel computer architectures
OpenMP is emerging as a quasi-standard for shared memory parallel programming on small SMP-systems. To serve as a common programming interface in shared memory parallel programming, scalability to a larger number of nodes and support for different shared memory architectures has to be proven. In this paper we investigate how well the basic constructs of OpenMP are implemented on different parallel computer architectures.